{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4031379009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4022209009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4031379009,"updated_at":"2026-05-15T11:12:57-04:00","requisition_id":"7045","title":"AI Residency Program, Material Science (2026 Cohort)","company_name":"Lila Sciences","first_published":"2025-10-06T13:26:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;AI Resident – 2026 Cohort\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;The \u0026lt;strong\u0026gt;AI Residency Program\u0026lt;/strong\u0026gt; is a full-time research opportunity designed to bridge the gap between academic research and industry applications in \u0026lt;strong\u0026gt;AI for materials science\u0026lt;/strong\u0026gt;. Residents will work closely with Lila scientists and engineers on high-impact, open-science projects, with the option to focus on either fundamental or applied research.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Duration:\u0026lt;/strong\u0026gt; 6–12 months (extension possible)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Start Dates:\u0026lt;/strong\u0026gt; First hires beginning \u0026lt;strong\u0026gt;January 2026\u0026lt;/strong\u0026gt;, with rolling applications and additional intakes in Summer and Fall 2026\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cohort Size:\u0026lt;/strong\u0026gt; Small group of selected residents\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mentorship:\u0026lt;/strong\u0026gt; Pairing with technical mentors, feedback from cross-functional teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Resources:\u0026lt;/strong\u0026gt; Access to proprietary datasets, high-performance compute, and Lila’s research infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Research areas include ML-accelerated simulations, Bayesian methods, representation learning, generative models, agentic science, and ML-driven automation.\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;notion-selectable notion-text-block\u0026quot; data-block-id=\u0026quot;2631a62c-8a83-8078-a9a2-fe47d0799444\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;notion-selectable notion-text-block\u0026quot; data-block-id=\u0026quot;2631a62c-8a83-8078-a9a2-fe47d0799444\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;notranslate\u0026quot; data-content-editable-leaf=\u0026quot;true\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Application Requirement:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;notranslate\u0026quot; data-content-editable-leaf=\u0026quot;true\u0026quot;\u0026gt;Please submit your\u0026amp;nbsp;\u0026lt;strong\u0026gt;resume\u0026lt;/strong\u0026gt; alongside a \u0026lt;strong\u0026gt;research proposal (up to 3 pages, unlimited references)\u0026lt;/strong\u0026gt; outlining the project you would plan to pursue during your residency at Lila Sciences. \u0026lt;strong\u0026gt;\u0026lt;em\u0026gt;Please submit your research proposal as your cover letter. \u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt;Applications without both documents will not be considered. Optional supporting materials (e.g., recommendation letters, publications, research artifacts) may also be included.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at Lila\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The\u0026lt;strong\u0026gt; Lila Sciences AI Residency\u0026lt;/strong\u0026gt; is a full-time research program at the intersection of artificial intelligence and materials science. As a resident, you\u0026#39;ll join a cohort of researchers tackling open-ended scientific challenges alongside Lila’s world-class team of scientists and engineers. With access to proprietary datasets, high-performance compute infrastructure, and experienced mentors, you\u0026#39;ll pursue ambitious research projects with both academic and real-world impact. Publishing is encouraged but not required — what matters most is pushing the frontier of scientific discovery.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and execute independent research projects in AI for materials science\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with Lila scientists and engineers on cutting-edge, open-science initiatives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Explore domains such as ML-accelerated simulations, Bayesian methods, representation learning, generative AI, agentic science, and ML-driven automation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to collaborative team research and co-develop novel approaches to scientific discovery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Share findings internally and externally; publications are welcome but not mandatory\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Degree in Materials Science, Chemistry, Computer Science, AI/ML, Physics, Mathematics, or related field (Bachelor’s, Master’s, or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python and deep learning frameworks (e.g., PyTorch)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with large-scale datasets or simulations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with modern AI/ML architectures and training techniques\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong research background, demonstrated through publications, thesis work, or open-source projects\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior work on ML applications in scientific domains (e.g., materials discovery, chemistry, simulations)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Bayesian optimization, active learning, or generative models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in reinforcement learning or agent-based approaches to scientific reasoning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Open-source contributions or collaborative research experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication and writing skills, especially for conveying complex scientific ideas\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013388009,"name":"Physical Sciences AI","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4244774009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4142644009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4244774009,"updated_at":"2026-05-21T09:55:49-04:00","requisition_id":"7497","title":"Analyst / Senior Analyst, Corporate Strategy","company_name":"Lila Sciences","first_published":"2026-05-11T09:58:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Analyst, Corporate Strategy sits at the center of how Lila Sciences thinks about its future. This is a high-visibility, high-impact individual contributor role within the Strategy and Corporate Development function. The team is small, senior, and fast-moving.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will support the full range of the function\u0026#39;s work: corporate strategy development, competitive intelligence, M\u0026amp;amp;A and corporate development, enterprise and strategic planning, and OKR-linked incentive tracking. You will work directly with senior leaders across the company and have regular exposure to board and investor-level materials.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is well-suited to someone early in their career who is intellectually curious, operates with strong analytical rigor, and is energized by working at the intersection of science, technology, and business strategy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Synthesize market, competitive, and internal data to support strategic decision-making\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain structured analyses, frameworks, and presentations for senior leadership and board audiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track emerging trends in AI, life sciences, and physical sciences relevant to Lila\u0026#39;s strategic positioning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support deal processes including landscape mapping, initial screening, and diligence preparation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain competitive intelligence across key market segments, including company tracking, partnership activity, and technology developments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and refresh comp sets and market benchmarks in support of M\u0026amp;amp;A and partnership evaluation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the annual strategic planning cycle, including data gathering, cross-functional synthesis, and documentation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist in OKR infrastructure: tracking, reporting, and maintaining the linkage between role-level objectives and company-level priorities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce clean, accurate outputs for leadership reviews and planning offsites\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years of experience in corporate strategy, management consulting, investment banking, or a related analytical field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong academic background; undergraduate degree from a rigorous institution required\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional analytical skills, including financial modeling, data synthesis, and structured problem framing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear, concise written and verbal communication; ability to distill complex information into crisp outputs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High degree of ownership and follow-through; this is a role for someone who runs things to completion without needing to be managed closely\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort operating in ambiguous, fast-moving environments with shifting priorities\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior exposure to M\u0026amp;amp;A processes, due diligence, or transaction support\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with OKR frameworks or enterprise planning processes\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience producing materials for board or investor audiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with data visualization or BI tools (e.g., Tableau, Looker, or equivalent)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in or genuine interest in life sciences, biotech, or deep tech industries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced degree (MBA or equivalent) a plus but not required\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$126,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$175,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4184652009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4106980009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4184652009,"updated_at":"2026-05-14T17:07:36-04:00","requisition_id":"7405","title":"Associate Director / Director of Program Management, Life Sciences","company_name":"Lila Sciences","first_published":"2026-03-17T11:06:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is looking for an Associate Director / Director, Program Management, Life Sciences — a senior operator who will drive the planning, execution, and delivery of therapeutic programs on Lila\u0026#39;s platform. This person will provide direct project management leadership to the internal science, engineering, and automation teams developing molecules for our partners, owning timelines, resourcing, and progress tracking across complex, multidisciplinary programs. They will also serve as a senior operational interface with our pharmaceutical and biotech partners, ensuring that deliverables, governance, and communication are running smoothly.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;These programs carry significant scientific complexity and commercial stakes. This role requires someone who can drive execution across fast-moving, technically demanding programs from the inside while maintaining the partner-facing judgment and presence to keep external stakeholders informed and aligned.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own end-to-end project management for active therapeutic programs, including timeline development, resource coordination, milestone tracking, and dependency management across product, science, machine learning and automation teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive day-to-day execution discipline; ensuring that internal teams have clear priorities, deliverables, and decision points, and that blockers are identified and resolved quickly\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage resource allocation discussions and trade-off decisions across a complex set of priorities (e.g., balancing experiments between AI model training and near-term partnership deliverables)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish and maintain program-level reporting, including status updates, milestone tracking, and resource utilization views for internal leadership and external deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively identify, communicate, and manage program risks, escalating appropriately and ensuring transparency with scientific and executive leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Structure and facilitate effective internal program meetings, decision forums, and reviews; ensuring the right information reaches the right people at the right time\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Partner-Facing Delivery\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as the primary operational interface with partner organizations, coordinating joint governance, managing deliverable timelines, and driving alignment on milestones and expectations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate internal program status into clear, structured updates for external partners, ensuring transparency without overexposing internal complexity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support alliance obligations including joint steering committees, milestone reporting, and deliverable handoffs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with scientific and product leadership to ensure that program plans reflect both Lila\u0026#39;s platform capabilities and partner-specific program goals and business objectives\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Process \u0026amp;amp; Scale\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead the development of scalable project management practices, templates, and tools as Lila\u0026#39;s partnership portfolio grows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help build repeatable operating models for how Lila plans, tracks, and delivers partner programs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience in the pharmaceutical or biotechnology industry in roles associated with drug discovery or development, project management, or operations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years in program management, project management, or a similar cross-functional coordination role with direct responsibility for timelines, resourcing, and tracking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to independently drive execution across complex, multidisciplinary programs with significant scientific and commercial stakes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of drug discovery and development processes; ability to engage credibly with scientific stakeholders and communicate at a high level across therapeutic and technical domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing programs with external partners, including milestone management, governance, and stakeholder communication\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Outstanding communication skills, with the ability to distill complex scientific and operational information for diverse audiences including executive leadership and external partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to influence without authority and drive alignment across cross-functional teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience working at or partnering with AI-native or platform-based drug discovery companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing external collaborations in a discovery or preclinical setting (alliance management, CRO/CDMO oversight, or joint research programs)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with project management tools and methodologies (e.g., critical path analysis, scenario planning, resource management, portfolio reporting)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with the rapid evolution of LLMs and AI-driven science platforms and a perspective on how this will impact partnership models in drug discovery\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$148,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$224,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4147718009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4094388009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4147718009,"updated_at":"2026-06-04T11:44:58-04:00","requisition_id":"7363","title":"Associate Director/Director, Strategic Events","company_name":"Lila Sciences","first_published":"2026-02-26T15:12:17-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The \u0026lt;strong\u0026gt;Associate Director/Director, Strategic Events\u0026lt;/strong\u0026gt;\u0026amp;nbsp;will build and lead Lila’s global external events function. You will own a portfolio of high‑impact programs—flagship Lila events, executive summits, investor and partner gatherings, policy convenings, and key third‑party conferences—that drive \u0026lt;strong\u0026gt;pipeline, relationships, talent, and brand\u0026lt;/strong\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is not a logistics planner role. You own the \u0026lt;strong\u0026gt;“why” and “how”\u0026lt;/strong\u0026gt; of events: which audiences we prioritize, what we say, and how each moment advances Lila’s goals with:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Investors\u0026lt;/strong\u0026gt; – understanding our platform, business model, and roadmap\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Commercial partners \u0026amp;amp; customers\u0026lt;/strong\u0026gt; – seeing AISF capabilities and use cases, ssi milestones and team capabilities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Policymakers\u0026lt;/strong\u0026gt; – building trust in SSI, safety, and responsible deployment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI \u0026amp;amp; science talent\u0026lt;/strong\u0026gt; – experiencing our mission, culture, and technical ambition. *NOTE: Events driving talent acquisition are a key priority in 2026. Experience with organizing engaging events for technical audiences is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop a \u0026lt;strong\u0026gt;12–18 month strategic events roadmap\u0026lt;/strong\u0026gt; aligned with company priorities and GTM motions (e.g., SLAS, JPM, NVIDIA GTC, Lila‑hosted summits, hackathons).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define clear objectives and KPIs for each event (pipeline and revenue influence, investor and partner meetings, policy relationships, talent leads, brand reach).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own \u0026lt;strong\u0026gt;strategy and execution\u0026lt;/strong\u0026gt; for flagship and executive‑level events, including programming, formats, and audience journeys tailored for investors, partners/customers, policymakers, and technical talent.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead \u0026lt;strong\u0026gt;cross‑functional planning\u0026lt;/strong\u0026gt; with MarCom, Commercial, BizOps, Federal/Policy, Talent, and Science/AI/Robotics teams to ensure events are fully integrated with product, PR, content, and recruiting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage \u0026lt;strong\u0026gt;budgets, agencies, and vendors\u0026lt;/strong\u0026gt;, including sponsorships and production partners, with clear forecasting and ROI tracking.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design \u0026lt;strong\u0026gt;immersive experiences and demos\u0026lt;/strong\u0026gt; that bring Lila’s AI platform, AI science factories and scientific breakthroughs to life for different audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build scalable \u0026lt;strong\u0026gt;playbooks and processes\u0026lt;/strong\u0026gt; so future regional and functional teams can execute consistent, high‑quality events.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10–15+ years in strategic events, event marketing, or experiential marketing, ideally in B2B tech, life sciences, or AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record owning a \u0026lt;strong\u0026gt;global events portfolio\u0026lt;/strong\u0026gt; that serves multiple senior audiences (talent acquisition, investors, enterprise customers/partners, policymakers, technical communities).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong \u0026lt;strong\u0026gt;program management\u0026lt;/strong\u0026gt; skills and comfort operating in a fast‑moving, highly cross‑functional environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to define and track \u0026lt;strong\u0026gt;event ROI\u0026lt;/strong\u0026gt;, working with CRM and marketing tools (e.g., Salesforce or equivalents).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent \u0026lt;strong\u0026gt;storytelling and communication\u0026lt;/strong\u0026gt;, with the range to speak credibly to investors, scientists, engineers, policymakers, and candidates.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing vendors and influencing C‑suite leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willingness to \u0026lt;strong\u0026gt;travel 25–40%\u0026lt;/strong\u0026gt; for events and on‑site execution.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$148,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$224,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4246304009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4143842009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4246304009,"updated_at":"2026-05-19T10:28:52-04:00","requisition_id":"8503","title":"Associate / Engineer I, ResOps, Formulations and Characterization","company_name":"Lila Sciences","first_published":"2026-05-19T10:28:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a motivated and detail-oriented \u0026lt;strong\u0026gt;Associate Engineer\u0026lt;/strong\u0026gt; to join our high-throughput Research Operations team. In this role, you will focus on hands on material formulation preparation using characterization techniques relevant to rheology and mechanical properties\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will gain hands-on experience with state-of-the-art automation technologies while contributing directly to projects that drive our company’s growth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an excellent opportunity for candidates excited to learn engineering principles, work with advanced laboratory automation, and develop a strong foundation in scientific operations in a dynamic, shift-based environment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Perform wet-lab materials synthesis and formulation of materials including coatings, solutions, and elastic materials\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare reagents, solutions/electrolytes, samples, and consumables to ensure seamless continuation of experiments across shifts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct rheology of formulations, and mechanical testing such as tensile, peel, and shear tests\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Follow detailed standard operating procedures (SOPs) to ensure accuracy, reproducibility, and throughput\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Monitor workflow performance, troubleshoot common issues, and escalate when necessary to ensure continuity between shifts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Record, organize, and maintain experimental data with high attention to detail\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify opportunities to improve efficiency and streamline processes across shift operations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flag unusual features or results for scientist review\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with scientists and engineers to support diverse projects across life sciences and physical sciences\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Chemistry, Physics, Chemical/Materials Engineering, or a related field (or equivalent laboratory experience)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Attention to detail and strong organizational skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;gt;1 year of experience with bench top and wet lab environments in an industrial setting with high throughout performing: pipetting, chemical handling, solution and sample preparation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience synthesizing and testing materials such as coatings, solutions, adhesives, paints, and elastic materials\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working and disposing of acids and bases, synthesis in fume hoods, and handling powders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Curiosity to learn new skills and techniques relevant to materials science\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Additional familiarity with: mechanical testing (e.g., tensile and peel tests), rheology, polymer-based systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in high-throughput production environments with a focus on scalability, efficiency, and accuracy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Basic engineering skills for troubleshooting synthesis tools such as centrifuges, pipettes, ovens, chemical handlers, glove box, and pumps\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with automated workflows and techniques to operate and generate custom scripts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with characterization methods for analyzing morphology and chemical compositions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$72,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$106,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4246303009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4143841009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4246303009,"updated_at":"2026-05-19T20:31:39-04:00","requisition_id":"8502","title":"Associate / Engineer I, ResOps, Synthesis","company_name":"Lila Sciences","first_published":"2026-05-19T20:31:39-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a motivated and detail-oriented \u0026lt;strong\u0026gt;Associate Engineer\u0026lt;/strong\u0026gt; to join our high-throughput Research Operations team. In this role, you will focus on hands on materials synthesis of various powders and porous medias as well as characterization of materials using spectroscopy and microscopy techniques.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will gain hands-on experience with state-of-the-art automation technologies while contributing directly to projects that drive our company’s growth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an excellent opportunity for candidates excited to learn engineering principles, work with advanced laboratory automation, and develop a strong foundation in scientific operations in a dynamic, shift-based environment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Perform materials synthesis for materials including zeolites, MOFS, coolants, quantum dots, and lipid nanoparticles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare reagents, solutions/electrolytes , samples, and consumables to ensure seamless continuation of experiments across shifts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Follow detailed standard operating procedures (SOPs) to ensure accuracy, reproducibility, and throughput\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Monitor workflow performance, troubleshoot common issues, and escalate when necessary to ensure continuity between shifts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Record, organize, and maintain experimental data with high attention to detail\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify opportunities to improve efficiency and streamline processes across shift operations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flag unusual features or results for scientist review\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with scientists and engineers to support diverse projects across life sciences and physical sciences\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Chemistry, Physics, Chemical/Materials Engineering, or a related field (or equivalent laboratory experience)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Attention to detail and strong organizational skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;1 year of experience with bench top and wet lab environments an industrial setting with high throughout performing: pipetting, chemical handling, solution and sample preperation, high temperature annealing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hand on experience synthesizing zeolites, MOFs, and powder materials\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working and disposing of acids and bases, synthesis in fume hoods, and handling powders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Curiosity to learn new skills and techniques relevant to materials science\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Additional familiarity with: coolants, quantum dots, nanoparticles, and thin films.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in high-throughput production environments with a focus on scalability, efficiency, and accuracy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Basic engineering skills for troubleshooting synthesis tools such as centrifuge, annealers, chemical handler robots, glove box\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with automated workflows and techniques to operate and generate custom scripts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with characterization methods for analyzing morphology and chemical compositions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$72,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$106,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4204188009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4119239009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4204188009,"updated_at":"2026-05-14T17:07:38-04:00","requisition_id":"7432","title":"Chemistry Technical Program Manager","company_name":"Lila Sciences","first_published":"2026-04-24T15:28:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is using its autonomous science platform to accelerate chemical discovery — from smarter synthesis pathways and next-generation catalysts to molecular design for clean energy and industrial applications. The Chemistry experiment team is running programs at a pace and scale that demands serious operational rigor, and we\u0026#39;re looking for a Technical Program Manager to provide it. You\u0026#39;ll work closely with the Chemistry domain lead who sets scientific strategy and direction, while you own the execution layer: the project plans, the cross-functional dependencies, and the blockers that need to be surfaced and resolved before they become problems. You won\u0026#39;t be directing scientific work — you\u0026#39;ll be creating the conditions for it to happen at speed and at scale. This is a role for someone who genuinely loves the craft of program management in complex, technical environments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own day-to-day program execution within the Chemistry experiment team — maintaining project plans, tracking milestones, and ensuring agentic science programs are delivered on time and with rigor\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the primary operational interface between the Chemistry team and platform partners (Automation, ML, Engineering) — communicating needs, aligning on priorities, and keeping dependencies visible and resolved\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate scientific program goals into structured workstreams that enable autonomous experimentation to run efficiently and at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run program rituals including sprint planning, stand-ups, and retrospectives with a bias toward purposeful meetings, documentation, and follow-through\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the Chemistry domain leads to surface blockers, risks, and interdependencies early and drive them to resolution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the delivery of commercial contracts by working with the Product \u0026amp;amp; Revenue team to ensure program commitments are well-scoped, tracked, and clearly communicated to all stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to capacity planning and resource coordination in partnership with scientific leadership\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of program or project management experience in a chemistry, pharmaceutical, or deep tech environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor\u0026#39;s degree in Chemistry, Chemical Engineering, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of managing multiple concurrent programs in fast-paced, ambiguous environments and energized by building programs from the ground up; early-stage start-up experience is a strong plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to coordinate across scientific and operational stakeholders and manage complex cross-functional dependencies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sufficient scientific fluency to understand Chemistry program goals and communicate them clearly to partner teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting commercial program delivery and working with external partners or customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional written and verbal communication skills — able to break complex goals into clear, achievable units of work and keep stakeholders consistently well-informed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with project management tools such as Smartsheet, Asana, Jira, or similar\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;PMP, PgMP, or agile certification (e.g., CSM, SAFe) is a plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$128,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$172,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4174259009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4100869009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4174259009,"updated_at":"2026-05-14T17:07:34-04:00","requisition_id":"7381","title":"Commercial Counsel (Associate Director/Director)","company_name":"Lila Sciences","first_published":"2026-03-09T21:27:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As Commercial Counsel (Director/Associate Director) at Lila Sciences, you will be a foundational member of the legal team, responsible for shaping and scaling legal capabilities in a fast-moving, frontier technology environment. This is a dynamic, high-ownership role focused on structuring and negotiating a wide array of commercial agreements, while also advising on legal and regulatory considerations surrounding artificial intelligence, scientific research, and cutting-edge technology development. You\u0026#39;ll partner cross-functionally across science, engineering, business development, and operations to enable Lila’s mission to accelerate discovery with AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for an experienced, entrepreneurial attorney with 6–10 years of legal experience—someone who is excited to work at the intersection of law, AI, and science. You should thrive in environments that demand both precision and creativity, be comfortable navigating ambiguity, and bring a strong sense of judgment and empathy to collaborative problem-solving. If you\u0026#39;re passionate about building scalable legal infrastructure, engaging deeply with novel technologies, and evolving the practice of law using AI, this is the role for you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Draft, negotiate, and manage a broad range of commercial agreements (e.g., SaaS, IP licensing, vendor, partnership, and R\u0026amp;amp;D collaboration contracts)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide pragmatic legal counsel to internal stakeholders across the business, product, and science functions, balancing legal risk with strategic objectives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a thought partner on regulatory and ethical considerations related to the use of AI in scientific and commercial contexts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help build scalable systems and workflows to streamline legal processes and amplify team impact using AI tools and automation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support strategic transactions and partnerships, rapidly developing expertise in new domains to ensure sound legal outcomes\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;J.D. and membership in at least one U.S. state bar in good standing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6+ years of legal experience, with substantial time in-house at a technology company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience drafting and negotiating complex commercial contracts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI, SaaS, and/or scientific R\u0026amp;amp;D business models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to operate independently, manage multiple priorities, and communicate effectively across technical and non-technical teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Enthusiasm for transforming legal practice through AI and data-driven tools\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior work involving export-controlled technologies or CFIUS considerations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting R\u0026amp;amp;D teams in life sciences, materials, or climate-tech domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort with technical subject matter and scientific research environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of building legal infrastructure or scalable processes from scratch\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$232,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$327,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null},{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4146091009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4093399009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4146091009,"updated_at":"2026-05-27T16:14:06-04:00","requisition_id":"7354","title":"Community \u0026 Ecosystem Growth Strategist","company_name":"Lila Sciences","first_published":"2026-02-24T15:45:37-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are hiring a \u0026lt;strong\u0026gt;Community \u0026amp;amp; Ecosystem Growth Strategist\u0026lt;/strong\u0026gt; who is equal parts social strategist, influencer operator, and deeply online community member. A key part of this role is growing high-quality networks of followers for Lila’s executives and scientific leaders by tapping the communities that matter across:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Academia and research\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Relevant industries (materials, energy, chemicals, therapeutics, biotech, aerospace and defense)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Government and public sector science, technology, and innovation ecosystems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;You will help our leaders show up credibly and consistently in technical discourse, build relationships, and earn durable attention.This role also requires fluency with AI agents and the ability to build, deploy, and manage them — from engagement monitoring and community growth to content drafts and analytics workflows. We expect this person to think like an operator who uses agentic tooling to extend their reach and keep pace with the demands of running a multi-platform presence at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive presence and follower growth\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and execute growth strategies for key executives’ social accounts (X, LinkedIn, substack, and niche community platforms).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow networks with the \u0026lt;em\u0026gt;right\u0026lt;/em\u0026gt; followers: researchers, lab leaders, R\u0026amp;amp;D decision-makers, open-source contributors, and public sector stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build an executive “always-on” cadence: posts, replies, threads, commentary, and lightweight community engagement.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Be present in frontier technical communities\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Participate in online communities discussing AI-accelerated science, robotics, materials science, life science, chemistry, frontier technology, generative AI, and agentic science.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bring Lila into threads in a way that is helpful and authentic, including in skeptical or high-signal conversations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Influencer and community activation\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build relationships with credible creators and technical influencers across academia, industry, and government-adjacent networks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate co-created moments: AMAs, roundtables, briefings, interviews, guest threads, and research spotlights that elevate Lila leaders.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Thought leadership enablement\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ghostwrite or co-write with executives and technical leaders while preserving their voice.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coach leaders on how to engage in replies and community threads in ways that build trust (not hype).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Measure and iterate\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Track executive and brand growth using meaningful metrics: follower quality, engagement depth, network effects, and relationship development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run experiments and continuously improve the playbook.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to organically grow executive and brand followings in technical/scientific spaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong writing and editorial judgment for technical audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort operating in public technical discourse, including disagreement and skepticism.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enough marketing fluency to align with brand and comms strategy, plus the independence to run the social/community engine day to day.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building or managing AI agents — for content workflows, community intelligence, or analytics — and a clear-eyed sense of where they help and where human judgment is irreplaceable.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Existing networks across AI-for-science, robotics, open-source, academia, national labs, or government-adjacent science/tech communities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting executives or founders as thought leaders (voice, cadence, engagement strategy).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with agentic frameworks or platforms (e.g., Claude, NotionAI, custom tooling) and the ability to scope, prompt, and iterate on agent behavior without necessarily writing production code.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$148,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$198,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4246299009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4143838009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4246299009,"updated_at":"2026-06-04T19:30:52-04:00","requisition_id":"8500","title":"Contract, Lab Operations Specialist I (2nd shift)","company_name":"Lila Sciences","first_published":"2026-05-20T06:02:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is seeking a \u0026lt;strong\u0026gt;Lab Operations Specialist I\u0026lt;/strong\u0026gt; to support \u0026lt;strong\u0026gt;second-shift \u0026lt;/strong\u0026gt;operations within our AI Science Factory (AISF) environments. This role is critical to maintaining the operational backbone of our laboratories, ensuring that scientific workflows, automation platforms, and experimental teams can operate continuously and without interruption.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Working within a high-throughput, rapidly scaling environment, you will help translate operational needs into reliable day-to-day execution by maintaining organized lab spaces, supporting material flow, and ensuring that laboratory systems remain ready for ongoing work.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an excellent opportunity for someone interested in laboratory operations, logistics, and supporting advanced scientific and automation systems in a fast-paced research environment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Maintain operational readiness of laboratory environments during second shift, ensuring spaces support ongoing scientific and automated workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage consumables and material flow, including restocking, inventory monitoring, and staging materials for upcoming experiments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support laboratory service programs, including glasswash coordination, waste handling, and lab coat management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist with receiving, organizing, and distributing materials, samples, and small equipment across lab spaces\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and resolve routine operational issues, escalating more complex problems to appropriate teams (LabOps, Sustained Engineering, EHS)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Document work and communicate updates to ensure continuity between shifts and visibility into ongoing lab operations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work within established systems (e.g., inventory platforms, ticketing tools) to support tracking and coordination of lab activities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with scientific, engineering, and operations teams to support day-to-day laboratory needs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;1–3 years of experience in a laboratory, operations, or similar hands-on environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong attention to detail and organizational skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work independently during second-shift hours in a lower-support environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear communication skills for documenting work and coordinating across shifts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working in a fast-paced, evolving environment\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience working in shift-based or extended-hour operations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in lab operations, facilities, or scientific support environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in Life Science and/or Physical Science fields\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to automated laboratory environments or high-throughput workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with inventory systems, CMMS, or ticketing tools\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4180877009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4104704009,"location":{"name":"Washington, D.C. USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4180877009,"updated_at":"2026-05-14T17:07:35-04:00","requisition_id":"7394","title":"Contractor, Administrative Coordinator ","company_name":"Lila Sciences","first_published":"2026-03-16T12:54:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a highly organized and proactive Administrative Coordinator to provide operational and administrative support to our Government Affairs team in Washington, D.C. This role is the operational backbone of the team and ensuring the Government Affairs office can focus on its core efforts. The ideal candidate is a self-starter who thrives in a fast-paced, politically dynamic environment and exercises sound judgment and discretion at all times. \u0026lt;strong\u0026gt;This role requires 5 days a week in office in Washington, DC.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;GA Team Support\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage scheduling for government affairs team, including scheduling meetings with Members of Congress, agency officials, and coalition partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate domestic and international travel logistics, including flights, hotels, ground transportation, and itineraries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare and process expense reports, invoices, and reimbursements in a timely manner\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Draft, proofread, and edit correspondence, briefing materials, talking points, and internal memos\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Anticipate executive needs and proactively handle administrative matters with minimal direction\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Office Management\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Oversee day-to-day office operations, serving as the primary point of contact for building management, vendors, and service providers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage office supply inventory, equipment maintenance, and facilities needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Onboard new team members, including coordinating workspace setup, badge access, and IT provisioning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain organized filing systems for legislative documents, regulatory filings, lobbying disclosures, and compliance records\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate with IT support to troubleshoot technology issues and manage software subscriptions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Legislative \u0026amp;amp; Government Affairs Support\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Assist with the preparation and timely filing of lobbying disclosure reports (LDA filings) in coordination with compliance counsel\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain and update contact databases for congressional offices, agency contacts, and external stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate logistics for Capitol Hill meetings, fly-ins, briefings, receptions, and fundraising events with external consultants\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the preparation of leave-behinds, one-pagers, and materials for Congressional meetings\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Events \u0026amp;amp; Stakeholder Coordination\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Plan and execute team events, including staff retreats, coalition meetings, roundtables, and receptions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage coordination including invitations, RSVPs, catering, AV setup, and venue coordination\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Liaise with external partners, trade associations, and consulting firms on joint events and initiatives\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3–5 years of experience in an executive assistant, office manager, or administrative role, preferably in public service, government affairs, lobbying, law, or public policy environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong familiarity with the Washington, D.C. political landscape, including how Congress and federal agencies operate\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional organizational skills with the ability to manage multiple priorities under tight deadlines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Outstanding written and verbal communication skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High degree of professionalism, discretion, and judgment when handling sensitive or confidential information\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Microsoft Office Suite (Outlook, Word, Excel, PowerPoint) and collaboration tools (e.g., Teams, Zoom, Slack)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to travel up to 10% of the calendar year, including international travel\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to be in office 5 days a week in Washington, DC\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting C-suite executives or senior government officials\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Lobbying Disclosure Act (LDA) compliance and reporting requirements\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with stakeholder or contact management platforms (e.g., Quorum, Fireside, Salesforce)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with political giving processes, including PAC administration, contribution tracking, and FEC reporting requirements\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in political science, public policy, communications, business, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Discretion \u0026amp;amp; Professionalism\u0026lt;/strong\u0026gt; — Handles sensitive political and organizational information with the utmost confidentiality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proactive Problem-Solving\u0026lt;/strong\u0026gt; — Anticipates issues and resolves them before they escalate\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Attention to Detail\u0026lt;/strong\u0026gt; — Produces accurate, polished work products consistently\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Adaptability\u0026lt;/strong\u0026gt; — Remains calm and effective in a dynamic, high-stakes environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Relationship Management\u0026lt;/strong\u0026gt; — Builds trusted relationships with internal stakeholders, congressional staff, and external partners\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4246978009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4144255009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4246978009,"updated_at":"2026-05-22T07:55:01-04:00","requisition_id":"8508","title":"Contractor, Facility Layout \u0026 3D Modeling Specialist","company_name":"Lila Sciences","first_published":"2026-05-22T07:55:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building the future of autonomous science, and our laboratory facilities are at the center of that work. The 3D Modeler will own the SketchUp models that represent these spaces, from new lab buildouts to existing facility documentation. The models drive design reviews, spatial planning decisions, and workcell layout work across the Autonomous Science Platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Working on the Automated Systems Engineering team, the 3D Modeler will translate facility design intent, equipment footprints, and operational constraints into accurate, up-to-date SketchUp models. The role partners closely with engineers, architects, and operations leads to keep models current as designs evolve and as-built conditions change.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a part-time contract role based out of the Alewife office in Cambridge, with on-site presence required during ramp-up and hybrid flexibility over time.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain SketchUp models for new lab buildouts and existing facility as-builts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate architectural drawings, equipment specs, and field measurements into accurate 3D geometry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Update models as designs evolve, capturing revisions to layouts, equipment, and workcells.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce model views, renderings, and exports that support design reviews and stakeholder alignment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate with engineers, architects, and operations leads to validate model accuracy against real-world conditions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organize model files, components, and version history so the team can navigate and reuse assets.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience producing production-quality 3D models in SketchUp.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency interpreting architectural drawings, mechanical layouts, and field measurements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working from incomplete information and validating assumptions with stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong file organization habits across components, layers, scenes, and version history.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work on-site at the Alewife office during ramp-up, with hybrid flexibility longer term.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear written and verbal communication for working across engineering, architecture, and operations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience modeling laboratory, cleanroom, or industrial facility environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with lab equipment, robotics workcells, or automated systems layouts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of complementary tools (AutoCAD, Revit, Rhino, V-Ray, LayOut).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to facility design or buildout processes from concept through occupancy.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4240268009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4140389009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4240268009,"updated_at":"2026-05-14T17:07:44-04:00","requisition_id":"7491","title":"Contractor, Robotics Engineer","company_name":"Lila Sciences","first_published":"2026-05-13T17:41:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila\u0026#39;s Autonomous Science Platform is building a closed-loop, AI-driven scientific facility, and inter- and intra-cell transport in the AISF is a critical bottleneck on that path. We\u0026#39;re bringing on a Robotics Engineer on a temporary basis to help unblock it.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Sitting on the Next Gen Robotics team and based at Alewife, you\u0026#39;ll work hands-on across the robotics stack — physical hardware and simulation — to integrate, tune, and debug systems that have to run reliably in production. The work spans ROS2 development, motion planning, and real-world hardware integration, with upstream science projects (including 1023-009-GRIDv1) gated on what you ship. This is a 3-month contract with potential to extend and potential to convert to full-time based on performance and ongoing need.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop ROS2 nodes, launch files, and message/service/action interfaces to support inter- and intra-cell transport workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bring up and integrate physical robotic systems — including arms, AMRs, or mobile manipulators — into the AISF environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain simulation environments in Isaac Sim and/or Gazebo to de-risk hardware deployments before they hit the floor\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Debug hardware and software integration failures end-to-end: kinematics, calibration, timing, and sensor issues\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute domain depth in motion planning, navigation, localization, perception, or sensor fusion as the team\u0026#39;s needs evolve\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Document configurations, failure modes, and operating procedures so the team can scale and maintain what you deploy\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree or higher in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a closely related field, or equivalent hands-on industry experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong experience with ROS2: node development, launch files, message/service/action interfaces\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of robot kinematics — forward/inverse kinematics, Jacobians, transforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in at least one robotic simulation platform: NVIDIA Isaac Sim and/or Gazebo\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience working with physical robots — robotic arms, AMRs, and/or mobile manipulators\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Depth in at least one of: motion planning (MoveIt2, trajectory generation), autonomous navigation (Nav2), localization (SLAM, AMCL), perception (object detection, depth sensing), or sensor fusion (IMU, LiDAR, camera integration)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience deploying robotic systems to production or field environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong Python and/or C++ in a ROS2 context\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to debug hardware/software integration issues independently\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in lab automation or scientific environments\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4040086009,"name":"Robotics","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4249657009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145888009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4249657009,"updated_at":"2026-05-22T16:03:04-04:00","requisition_id":"8517","title":"Contractor, Support Engineer I, Automation (2nd shift)","company_name":"Lila Sciences","first_published":"2026-05-22T16:01:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is hiring a Support Engineer I, Automation to keep second-shift operations humming on the AI Science Factory (AISF), the automated platform driving our work in drug discovery, bioengineering, and advanced materials. You will work 2–10 PM alongside the Integration Engineering and Research Operations teams, picking up where the day shift leaves off and keeping experiments moving into the evening.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The work is hands-on and varied. You triage issues on the workcells as they come up, recover stalled runs, knock out routine maintenance, and partner with on-shift Research Ops scientists to keep their work on track. At the end of the night, you hand the system back to the day team with a clear status report so tomorrow\u0026#39;s science can start without surprises.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will work closely with the engineers who designed the AISF — its schedulers, liquid handlers, robotics, and the software tying them together. This is a contract position, on site in Cambridge, MA.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Monitor and maintain AISF workcells during second shift, triaging instrument faults, software errors, and run failures as they surface.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate with on-shift Research Operations scientists to prioritize recovery efforts and keep active experiments moving when multiple issues compete for attention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Troubleshoot electro-mechanical and software systems, using judgment about when to resolve in-shift versus stabilizing and handing off to day-shift engineers for fixes that need vendor support, parts, or extended downtime.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Surface recurring failure patterns to the engineering team so root causes get addressed, not just symptoms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run routine maintenance, setup, and teardown to keep workcells reliable across shifts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Document each shift\u0026#39;s events, decisions, and outstanding issues so the day team inherits a clear picture and can plan accordingly.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Engineering, Biology, Chemistry, Materials Science, or a related field, or equivalent hands-on experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;1+ years of hands-on experience with lab automation, lab instrumentation, or production operations in a life sciences or physical sciences environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to troubleshoot electro-mechanical equipment and software systems independently — on second shift, you\u0026#39;re the automation engineer on site.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written communication, particularly for shift handoff documentation the day team can act on without follow-up questions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willingness and availability to work a 2–10 PM weekday schedule on site in Cambridge, MA.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with liquid handlers, plate-based workflows, or high-throughput screening instrumentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with lab scheduling or workflow orchestration software (Cellario or similar).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scripting or light programming ability (Python, C#, or similar) for log analysis or quick diagnostic work.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to robotic integration platforms or multi-instrument workcell environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in a 24/7 or multi-shift operations environment where structured handoffs were part of the workflow.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4149226009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4094597009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4149226009,"updated_at":"2026-05-14T17:07:33-04:00","requisition_id":"7364","title":"Contractor, Technical Science Writer","company_name":"Lila Sciences","first_published":"2026-02-25T15:01:54-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is seeking a talented and experienced \u0026lt;strong\u0026gt;Technical Science Writer / (Content Creator)\u0026lt;/strong\u0026gt; to help shape how we explain our work to the world. This role is akin to a managing editor: you will translate complex scientific and technical work into rigorous, accessible content, and you will guide a small bench of contractor writers to deliver consistently high-quality storytelling.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a mission-critical role because great science only changes the world when it is understood and trusted. Your work will help:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customers\u0026lt;/strong\u0026gt; understand what Lila enables, how it works, and why it is reliable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partners\u0026lt;/strong\u0026gt; see where collaboration creates leverage and what “good” integration looks like.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Government and public-sector partners\u0026lt;/strong\u0026gt; assess relevance, safety, and societal value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Investors\u0026lt;/strong\u0026gt; understand the technical moat, the platform strategy, and the long-term trajectory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Future employees\u0026lt;/strong\u0026gt; understand the ambition, the rigor, and the problems they will help solve.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Write and edit high-quality articles, explainers, technical overviews, case studies, and multimedia scripts that communicate complex scientific topics with accuracy and narrative strength.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build content that connects \u0026lt;em\u0026gt;what we are building\u0026lt;/em\u0026gt; to \u0026lt;em\u0026gt;why it matters\u0026lt;/em\u0026gt;, with an emphasis on scientific integrity, measurable impact, and responsible communication.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Audience-specific storytelling\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Adapt messaging and format for distinct stakeholder needs:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Customers: practical outcomes, workflows, reliability, and real constraints.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partners: shared roadmaps, joint innovation stories, and integration narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Government partners: public benefit, validation, safety, and responsible use.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Investors: differentiation, defensibility, and platform trajectory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Candidates: mission, culture of rigor, and the kinds of problems they will own.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create “layered” assets where a single core story can be repurposed into multiple depths (social post → blog → technical brief → talk track).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Editorial leadership and managing editor responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Assign projects to contractor writers, set clear briefs, and provide feedback to ensure quality, coherence, and consistent voice.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish lightweight editorial workflows (intake, review, fact-check, approvals) that keep content moving without compromising accuracy or confidentiality.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Research and collaboration\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with scientists, engineers, and leaders to gather insights, pressure-test claims, and capture the “why” behind the work.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate internal notes, talks, and research milestones into externally appropriate narratives.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Visuals and multimedia\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Oversee development of visuals (figures, diagrams, infographics), photography, and short-form video concepts that enhance comprehension.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with design/creative partners to keep visuals consistent with Lila’s standards while making science legible and engaging.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Quality and trust\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own editorial quality: accuracy, coherence, and clear sourcing. Maintain journalistic standards (including Associated Press style where applicable).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure content reflects responsible communication: no hype, no overclaims, and clear framing of what is validated vs. exploratory.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Trend analysis and story discovery\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Stay current on relevant breakthroughs across AI, drug discovery, chemistry, materials science, automation, and compute.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively identify timely story angles that reinforce Lila’s mission and help audiences understand the broader landscape.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What Success Looks Like\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lila’s science and platform are explained with a voice that is \u0026lt;em\u0026gt;credible to experts\u0026lt;/em\u0026gt; and \u0026lt;em\u0026gt;clear to non-specialists\u0026lt;/em\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stakeholders can quickly understand Lila’s “so what,” without sacrificing accuracy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A dependable editorial pipeline exists: contractors produce faster with fewer revisions, and internal reviewers trust the process.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Core narratives travel across formats and channels, increasing understanding, trust, and interest among customers, partners, government stakeholders, investors, and candidates.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s or Master’s degree in life sciences, chemistry, materials science, journalism, or a related field. PhD candidates or holders are highly encouraged to apply.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience as a science writer or journalist, with a portfolio including work published in reputable outlets (for example: Nature, Wired, Chemical \u0026amp;amp; Engineering News, or similar).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ability to explain complex scientific concepts to diverse audiences without losing technical integrity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing or leading a team of writers (including contractors) preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to create or manage creation of visual/multimedia content (graphics, photos, video) is a significant plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional written and verbal communication skills, with a keen eye for detail.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4257050009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4150237009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4257050009,"updated_at":"2026-05-27T09:26:35-04:00","requisition_id":"8528","title":"Co-op, Protein Sciences","company_name":"Lila Sciences","first_published":"2026-05-27T09:26:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is seeking a dedicated Cell Free Co-op for Protein Sciences to join our team. The focus of this role will be cell culture and cell lysis to generate materials for protein expression. You will continue maintenance and optimization of the cell free platform here at Lila.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Perform cell culture and lysis of various cell lines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generate quality control data via plate-based assays\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare media and solutions for cell culture and processing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track and maintain excellent data records in formats amenable to computational workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze and interpret experimental data, prepare technical reports, and present findings to internal teams and stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Working on a degree in biochemistry, molecular biology, biotechnology, biological engineering, chemical engineering, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;1+ years of laboratory experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cell culture techniques, including growth, maintenance, and transformation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent attention to detail, organization, and communication\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;An enthusiasm for and openness to using AI in laboratory settings is highly valued\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with plate-based assays is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Python programming for data analysis and automation is a plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4202443009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4118194009,"location":{"name":"San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":true,"value_type":"yes_no"}],"id":4202443009,"updated_at":"2026-05-14T17:07:38-04:00","requisition_id":"7428","title":"Director, Data Platform Engineering","company_name":"Lila Sciences","first_published":"2026-04-01T09:47:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is seeking a highly motivated and experienced engineering leader to lead a team responsible for our Lila\u0026#39;s product data platform. You will own the data platform and infrastructure end-to-end — architecture, delivery, reliability, and developer/data scientist experience.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our mission is to deliver Scientific Super Intelligence through a reliable, scalable, and self-service infrastructure for data ingestion, storage, processing, and interaction — enabling AI/ML, product teams, and scientists to build data-intensive applications with confidence and speed. Our platform supports analytical and machine learning workloads across Lila, serving autonomous DBTL cycles, instrument data pipelines, and AI inference workflows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be responsible for building and leading a team of talented engineers, driving technical strategy, and ensuring the scalability and performance of our data management and data serving capabilities of our Data Platform. You will work closely with data scientists, data engineers, lab scientists, and product teams to understand their needs and deliver innovative solutions that leverage the power of cutting edge data processing technologies.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Team Leadership: Build, mentor, and manage a high-performing team of 8-12 data engineering experts. Evaluate and adopt modern data infrastructure - including real-time streaming (Kafka, Flink), columnar engines (DuckDB, ClickHouse), lake house, and cloud-native object storage architectures; Foster a culture of collaboration, innovation, and continuous improvement; Provide technical guidance and mentorship to team members, promoting their professional growth; Conduct performance reviews, provide feedback, and identify opportunities for training and development; Manage team workload, prioritize projects, and ensure timely delivery of high-quality solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical Strategy and Execution: Define and execute the technical roadmap for our data platform, aligning with Lila’s overall data strategy; Drive innovation in data Lakehouse and data serving ecosystem exploring new technologies and approaches to improve usability, performance, scalability, and efficiency; Ensure the reliability, availability, and security of our data processing infrastructure.; Collaborate with other engineering teams to integrate our data processing technologies with other Lila systems and services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stakeholder Management: Partner with data scientists, data engineers, lab scientists, product managers, and other stakeholders to understand their data processing needs and requirements; Communicate technical concepts and solutions effectively to both technical and non-technical audiences; Advocate for best practices in data processing and engineering; Manage expectations and ensure alignment across different teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engineering Thought Leadership: Represent Lila’s data platform work at external conferences; Deliver presentations, and write blog posts highlighting Lila’s leadership in big data processing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scientist and Engineering Productivity: Drive innovative, agentic, and low-code solutions to deliver data interfaces - exploration, query, analytics, and ML/inference solutions at scale.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;12+ years of software development experience, with a focus on data processing at scale. 5+ years of experience leading senior engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with building on AWS/GCP primitives like S3 + Athena/BigQuery, and query engines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operated data platforms at petabyte scale with sub-second query latency requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing data infrastructure supporting 100+ concurrent ML training and inference workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with LLM/AI-native data patterns — vector stores, embedding pipelines, pre/mid/post training.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of building data platforms in high-growth or early-stage environments where speed-to-value mattered as much as long-term architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on coding in Python and modern backend frameworks. Experience with infrastructure-as-code and containerized deployments (Kubernetes).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS, MS, or Ph.D. in Computer Science or a related field of study.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Thought leadership in the community via presentations in conferences or blog posts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and growing teams focusing on open source technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scientific data management and quality experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Built self-service data products/platforms where developer experience was a first-class product concern.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$232,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$346,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4192648009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4113390009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4192648009,"updated_at":"2026-05-14T17:07:37-04:00","requisition_id":"7413","title":"Director, Discovery Chemistry ","company_name":"Lila Sciences","first_published":"2026-03-25T14:43:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The \u0026lt;strong\u0026gt;Director, Discovery Chemistry\u0026lt;/strong\u0026gt; will lead the design, synthesis, and optimization of small molecules across Lila’s discovery platform, with a primary focus on \u0026lt;strong\u0026gt;organic synthesis, molecular design, and scalable chemistry execution\u0026lt;/strong\u0026gt;. This leader will build and scale a world-class molecular chemistry program that translates AI-generated molecular hypotheses into high-quality, synthetically tractable, and functionally validated chemical matter.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Working closely with Lila’s AI, automation, computational, biology, and platform teams, this role will establish the chemistry infrastructure required to rapidly progress novel molecules from concept to validated candidates across a broad range of discovery efforts. The Director will drive synthetic strategy, route design, analog generation, molecular property optimization, and chemistry-enabled innovation, while enabling seamless integration with robotic synthesis and platform-based experimentation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This leader will play a central role in shaping Lila’s molecular discovery engine by combining deep expertise in synthetic organic chemistry, molecular design, and data-enabled experimentation to accelerate the discovery of high-value molecules for therapeutic and broader platform applications.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive discovery chemistry strategy across discovery programs, with strong emphasis on small molecule design, synthetic innovation, analog generation, and optimization of chemical matter.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the design and execution of synthetic routes for novel small molecules, emphasizing speed, robustness, scalability, and compatibility with automated synthesis platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and implement efficient workflows for molecular design, compound prioritization, analog generation, and iterative design–make–test cycles in collaboration with AI and computational teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with automation and platform teams to establish robotic and high-throughput chemistry capabilities that expand accessible chemical space and accelerate molecule generation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide the selection of reagents, reaction modalities, and synthetic methodologies to enable rapid exploration of structurally diverse and functionally relevant chemical matter.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive discovery chemistry strategy across discovery programs, with strong emphasis on small molecule design, synthetic innovation, analog generation, and optimization of chemical matter.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the design and execution of synthetic routes for novel small molecules, emphasizing speed, robustness, scalability, and compatibility with automated synthesis platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and implement efficient workflows for molecular design, compound prioritization, analog generation, and iterative design–make–test cycles in collaboration with AI and computational teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with automation and platform teams to establish robotic and high-throughput chemistry capabilities that expand accessible chemical space and accelerate molecule generation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide the selection of reagents, reaction modalities, and synthetic methodologies to enable rapid exploration of structurally diverse and functionally relevant chemical matter.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Oversee molecular optimization by integrating chemistry principles including structure–activity relationships, physicochemical properties, selectivity, developability, and synthetic tractability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with biology, screening, and profiling teams to interpret assay and characterization data and translate those insights into informed molecular design decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive discovery efforts from early chemical matter generation through optimization of advanced molecules, including scaffold evolution, property tuning, and progression toward candidate-quality compounds.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices for experimental design, chemistry data capture, compound registration, quality control, and reproducibility across molecular chemistry operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute strategically to program direction by aligning chemistry efforts with therapeutic hypotheses, platform capabilities, and broader company priorities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in Organic Chemistry, Medicinal Chemistry, Chemical Biology, or a closely related discipline with \u0026lt;strong\u0026gt;12–15 years\u0026lt;/strong\u0026gt; of experience in small molecule discovery and molecular design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience building and leading high-performing chemistry teams, including hiring, mentoring, and developing scientists across multiple levels.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record advancing small molecule programs through molecular design, high-throughput synthesis, optimization, and candidate progression.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in synthetic organic chemistry, retrosynthesis, route design, and practical execution of complex multistep syntheses.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong experience optimizing molecular properties, including potency, selectivity, physicochemical behavior, and overall developability of small molecule series.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success designing and delivering compound libraries or analog series to efficiently explore chemical space and address multiparameter optimization challenges.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working effectively in highly interdisciplinary environments spanning chemistry, biology, automation, and computational sciences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with biology, screening, pharmacology, or related functions to incorporate experimental data into chemistry decision-making.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of compound quality standards, purification and characterization workflows, and chemistry data integrity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of scientific leadership, program delivery, and advancing discovery-stage molecules in an industrial or high-performance research environment.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience working in AI-enabled discovery environments or integrating computational design and machine learning insights into chemistry workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building or scaling automated, robotics-enabled, or high-throughput chemistry platforms for molecular synthesis and optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with modern synthesis-enabling technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience translating chemistry needs into platform requirements, including instrumentation selection, workflow design, and integration with automated systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Broad understanding of molecular design principles across therapeutic discovery and other small-molecule innovation areas.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience operating in fast-paced environments where scientific creativity, speed, and cross-functional execution are critical.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to evaluate synthetic feasibility alongside innovation potential to prioritize molecules and chemical series effectively.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication and leadership skills, with the ability to align multidisciplinary teams around ambitious scientific goals.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$184,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$246,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4163575009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4097756009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4163575009,"updated_at":"2026-05-14T17:07:34-04:00","requisition_id":"7374","title":"Director, Facilities ","company_name":"Lila Sciences","first_published":"2026-03-03T14:13:18-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is looking for a strategic, hands-on Director of Facilities to lead the day-to-day and long-term management of multiple facilities. You’ll own a scalable facilities strategy, drive safety and compliance across sites, and oversee budgets, capital planning, vendor governance, and KPI reporting. This role is a cross-functional, cross-site leadership position with real responsibility for building and growing a world-class facilities team that scales with our growth and supports our scientific mission.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strategy \u0026amp;amp; Leadership\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and execute a comprehensive facilities strategy across multiple sites that aligns with company growth, science programs, and operational risk posture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build, mentor, and lead a high-performing facilities organization. Establish clear career paths, succession plans, and a culture rooted in safety, reliability, and continuous improvement.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;People \u0026amp;amp; Team Management\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Directly manage and develop facility managers, supervisors, and support staff; create a positive, collaborative culture with a strong focus on employee experience and professional growth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster cross-functional collaboration with BD, tech, finance, legal, and HR to drive decisions and improvements.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Safety, Compliance, and Quality\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Set and uphold enterprise-wide safety standards and facilities compliance across all sites; guide audits and corrective actions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead capital planning, lifecycle management, and EOL decisions for critical equipment using ROI-driven analyses.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Financial Stewardship\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Oversee multi-site budgets, long-range capital planning, and KPI achievement; optimize total cost of ownership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the vendor management lifecycle, including RFPs, contract negotiations, SLAs, and performance reviews.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operations \u0026amp;amp; Process Excellence\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Standardize and optimize maintenance processes with documentation, digital tools, and scalable playbooks; champion improvements with a strong emphasis on the employee and occupant experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement governance, risk management, and compliance controls; ensure audit readiness and transparent reporting.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stakeholder \u0026amp;amp; Client Liaison\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Be the primary touchpoint with clients, senior leadership, Facilities Org, and key business teams; translate facilities strategy into tangible business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with HR on workforce planning, safety training, and employee engagement initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Project Delivery \u0026amp;amp; Portfolio Management\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead major projects (renovations, expansions, high-impact maintenance) from scoping to closeout; manage schedule, budget, and risk.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align cross-site efforts to ensure consistent service levels and performance metrics.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Performance Measurement \u0026amp;amp; Improvement\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and track key metrics (safety, reliability, lifecycle spend, uptime, cost-to-serve, work-order throughput, client satisfaction) and use data to drive improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nurture a culture of continuous improvement; lead post-implementation reviews and share learnings across sites.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Mechanical, Electrical, Business, or a related field. An advanced degree or professional certifications (e.g., FMP, CFM, CPM) are a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8–15+ years of facilities management experience, with a track record of leading multi-site operations in life sciences, physical sciences, or related industries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to design and implement scalable facilities strategies and to lead through ambiguity and rapid growth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing large budgets, capital plans, and vendor ecosystems; strong ROI and financial acumen.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated track record of cultivating a safety-first culture, robust reporting, and effective cross-functional collaboration at the executive level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong leadership, communication, and stakeholder management skills; able to influence and mobilize diverse teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Direct experience in environments blending physical science and life sciences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with regulatory standards (OSHA/EHS, environmental compliance) and enterprise facilities software.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$168,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$224,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4202459009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4118200009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4202459009,"updated_at":"2026-05-14T17:07:38-04:00","requisition_id":"7429","title":"Director, Federal Strategy and Capture, Government Partnerships","company_name":"Lila Sciences","first_published":"2026-03-30T16:10:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is looking for a Director of Federal Strategy \u0026amp;amp; Capture to convert senior agency relationships and deep policy fluency into real government partnerships and funding wins. This role sits within our Government Partnerships organization and operates at the front end of capture — shaping the competitive environment before opportunities are formally announced, reading where the federal funding landscape is heading, and opening doors that demand genuine scientific and policy credibility.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is not a policy role. It\u0026#39;s a capture role that requires someone with unusually deep federal experience.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Named Account Ownership\u0026lt;/strong\u0026gt; — Build, manage, and advance senior relationships at DOE, ARPA-E, NIH, and adjacent US mission agencies. You own the health, depth, and trajectory of those relationships over time.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Opportunity Shaping\u0026lt;/strong\u0026gt; — Engage agencies early enough to influence how funding opportunities are scoped and structured before they become RFPs, ensuring alignment with Lila\u0026#39;s strategic roadmap.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Cross-Agency Narrative Development\u0026lt;/strong\u0026gt; — Partner with the Head of Government Partnerships to connect Lila\u0026#39;s portfolio to national science priorities and build a prioritized federal pipeline.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Institution Building\u0026lt;/strong\u0026gt; — Help stand up Lila\u0026#39;s federal capture function, including how we track relationships, manage pipeline, and engage agencies systematically over time.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Senior US federal experience at the intersection of science, policy, and strategy — agency, NSC, interagency, or equivalent background\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scientific fluency in life sciences, biotechnology, or adjacent domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A demonstrated track record of turning relationships into concrete outcomes: funded programs, formal partnerships, or procurement pathways\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience standing up new government functions, programs, or divisions from scratch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort operating in a fast-moving, resource-constrained environment where you\u0026#39;re building as you go\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with federal funding mechanisms — OTAs, cooperative agreements, SBIRs, BAAs — and how to position a company advantageously within each\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Existing relationships within DOE, ARPA-E, DARPA, BARDA, DoD, NSC, or interagency bioeconomy and biosecurity networks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with or inside a startup, venture-backed company, or other resource-constrained private sector environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Congressional authorization and appropriations processes as they relate to agency R\u0026amp;amp;D priorities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort with CRM or pipeline tracking tools to systematize relationship and opportunity management\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$168,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$238,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4205560009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4120115009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4205560009,"updated_at":"2026-05-14T17:07:39-04:00","requisition_id":"7440","title":"Director, Instrument Development Acceleration","company_name":"Lila Sciences","first_published":"2026-04-01T13:00:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is seeking a relentless executor and strategic operator to spearhead our Instrument Development initiatives and lead our Virtual Lab Team. As the Director of Instrument Development Acceleration, you will be responsible for getting instruments online, fast, reliably, and at scale. The role is for someone who thrives in high-throughput environments and measures success in instruments shipped.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Set clear expectations, remove obstacles quickly, and keep the team focused on delivery over deliberation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the rapid design and development of laboratory instruments across the full lifecycle, from concept to operational in the lab, at high volume.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect and implement integration frameworks connecting virtual laboratory environments with physical instrumentation and robotic systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain rigorous hardware-software integration standards, system performance benchmarks, and quality assurance processes without letting them become bottlenecks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Make pragmatic technical decisions across software, hardware, and systems integration that keep momentum, escalating only what truly needs escalation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work tightly with AI researchers, software engineers, and robotics teams to drive fast, efficient system integration and deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate clearly and concisely on status, blockers, and decisions to stakeholders at all levels.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and refine lean development practices that prioritize speed, system reliability, and repeatable quality assurance.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s or Master\u0026#39;s degree in Computer Science, Engineering, Biomedical Engineering, or a related field. Ph.D. is a plus but not required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;At least 10 years in engineering or technical leadership, with a proven record of delivering complex systems at scale and on time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong hands-on coding ability in C++, Python, or Java, with deep experience in hardware-software integration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to lead complex systems integration across software, hardware, and robotic platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A problem-solver who makes decisions with imperfect information and keeps moving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear, direct communicator who can align engineers and stakeholders without unnecessary overhead.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with agile or lean development methodologies in high-throughput environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on knowledge of AI, robotics, and simulation technologies as applied to laboratory instrumentation and automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with system monitoring, performance optimization, and QA in hardware-software environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of scaling teams and processes during periods of rapid growth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$232,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$304,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4179564009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4103697009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4179564009,"updated_at":"2026-05-14T17:07:35-04:00","requisition_id":"7391","title":"Director, Nucleic Acid Delivery","company_name":"Lila Sciences","first_published":"2026-03-11T10:14:03-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;notion-selectable notion-text-block\u0026quot; data-block-id=\u0026quot;31f1a62c-8a83-80e7-9123-d05b500706ae\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div class=\u0026quot;x78zum5\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;:r1e5:\u0026quot; class=\u0026quot;content-editable-leaf-rtl notranslate\u0026quot; data-content-editable-leaf=\u0026quot;true\u0026quot;\u0026gt;The Director of Nucleic Acid Delivery will lead the discovery and engineering of next-generation delivery systems for nucleic acid cargo. This role will drive the design of targeted lipid nanoparticles (tLNPs) and other biological delivery modalities to enable precise delivery of nucleic acids across diverse tissues and cell types.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;notion-selectable notion-text-block\u0026quot; data-block-id=\u0026quot;31f1a62c-8a83-80cd-a437-c72960cc38d9\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div class=\u0026quot;x78zum5\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;:r1e6:\u0026quot; class=\u0026quot;content-editable-leaf-rtl notranslate\u0026quot; data-content-editable-leaf=\u0026quot;true\u0026quot;\u0026gt;Leveraging the \u0026lt;span class=\u0026quot;notion-enable-hover\u0026quot; data-token-index=\u0026quot;1\u0026quot;\u0026gt;Lila Sciences AI platform and AI Science Factory\u0026lt;/span\u0026gt;, this leader will guide an interdisciplinary team of scientists in integrating AI-driven hypothesis generation, robotics-enabled experimentation, and biological insight to accelerate discovery of transformative delivery technologies. The role will focus on the biological targeting and functional delivery, while collaborating closely with formulation scientists responsible for lipid composition and formulation optimization.\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;content-editable-leaf-rtl notranslate\u0026quot; data-content-editable-leaf=\u0026quot;true\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;This position is ideal for a\u0026amp;nbsp;\u0026lt;span class=\u0026quot;notion-enable-hover\u0026quot; data-token-index=\u0026quot;1\u0026quot;\u0026gt;creative scientific leader\u0026lt;/span\u0026gt; who believes that AI, automation, and integrated biological systems thinking will fundamentally reshape therapeutic discovery. The successful candidate will bring deep expertise in nucleic acid delivery and a passion for building collaborative teams.\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and build a high-performing team of senior scientists, scientists, and research associates focused on nucleic acid delivery technology development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive the \u0026lt;strong\u0026gt;discovery and engineering of targeted lipid nanoparticle systems\u0026lt;/strong\u0026gt; for delivery of nucleic acid therapeutics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and evaluate \u0026lt;strong\u0026gt;targeting ligands, conjugation strategies, and nanoparticle architectures\u0026lt;/strong\u0026gt; that enable tissue- and cell-specific delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and implement \u0026lt;strong\u0026gt;innovative biological assays and screening platforms\u0026lt;/strong\u0026gt; to evaluate delivery efficiency, biodistribution, cellular uptake, and functional nucleic acid expression or editing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage the \u0026lt;strong\u0026gt;Lila AI platform and AI Science Factory\u0026lt;/strong\u0026gt; to accelerate design–build–test–learn cycles through AI-driven experimental design and robotics-enabled experimentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with formulation scientists to integrate \u0026lt;strong\u0026gt;biological targeting strategies with lipid chemistry and nanoparticle formulation optimization\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Explore and evaluate \u0026lt;strong\u0026gt;next-generation delivery modalities\u0026lt;/strong\u0026gt; that extend beyond traditional LNPs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish strategic scientific direction for nucleic acid delivery research and ensure alignment with company-wide therapeutic goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of \u0026lt;strong\u0026gt;innovation, collaboration, and scientific rigor\u0026lt;/strong\u0026gt;, mentoring team members and developing future leaders in the field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in molecular biology, bioengineering, chemical biology, biomedical engineering, pharmacology, or a related discipline with \u0026lt;strong\u0026gt;8–10+ years of relevant industry or academic experience\u0026lt;/strong\u0026gt;, or a \u0026lt;strong\u0026gt;BS/MS with 12–15+ years of experience\u0026lt;/strong\u0026gt; in nucleic acid delivery or genetic medicine.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated expertise in \u0026lt;strong\u0026gt;lipid nanoparticle technologies, nucleic acid delivery systems, or related genetic medicine platforms\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong track record of scientific leadership and mentorship, including managing multidisciplinary research teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and executing \u0026lt;strong\u0026gt;in vitro and in vivo assays to measure delivery efficiency, biodistribution, and functional activity of nucleic acid therapeutics\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of the biological mechanisms underlying delivery, including \u0026lt;strong\u0026gt;cellular uptake, endosomal escape, tissue targeting, and intracellular trafficking\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating across disciplines including \u0026lt;strong\u0026gt;formulation chemistry, molecular biology, protein engineering, and pharmacology\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of impactful scientific contributions demonstrated through \u0026lt;strong\u0026gt;publications, patents, or therapeutic development programs\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and strategic thinking skills with the ability to translate complex scientific ideas into actionable research programs.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Direct experience developing \u0026lt;strong\u0026gt;targeted LNP systems or ligand-directed nanoparticle delivery technologies\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in \u0026lt;strong\u0026gt;RNA therapeutics, gene editing systems (e.g., CRISPR/Cas), siRNA, mRNA, or DNA therapeutics\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience integrating \u0026lt;strong\u0026gt;AI-driven discovery tools, high-throughput experimentation, or automated laboratory platforms\u0026lt;/strong\u0026gt; into biological research.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in \u0026lt;strong\u0026gt;highly collaborative environments spanning biology, chemistry, computational science, and engineering\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to translate early discovery concepts into \u0026lt;strong\u0026gt;therapeutically relevant delivery platforms\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Entrepreneurial mindset with a passion for pushing the boundaries of \u0026lt;strong\u0026gt;AI-enabled scientific discovery\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$184,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$256,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4048370009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4033219009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4048370009,"updated_at":"2026-05-14T17:07:19-04:00","requisition_id":"7193","title":"Director of Product, Life Sciences","company_name":"Lila Sciences","first_published":"2025-10-20T12:09:03-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is looking for a \u0026lt;span class=\u0026quot;notion-enable-hover\u0026quot; data-token-index=\u0026quot;1\u0026quot;\u0026gt;Director of Product, Life Sciences\u0026lt;/span\u0026gt; strategic and visionary product leader who will shape the future of our therapeutic research and development capabilities. Reporting to the Vice President, Life Science Product, you will lead the strategy, roadmap, and execution for products and platforms at the intersection of drug discovery, chemical synthesis, and scientific intelligence.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive the strategic direction for turning our AI capabilities toward breakthrough solutions in drug discovery, chemical synthesis, and molecular characterization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate strategic objectives into target product profiles (TPPs) and development campaigns that guide science and engineering teams and enable breakthrough innovations in life sciences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead customer and internal-user discovery, serving as the technical link to external customers and partners in the life sciences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and shape product opportunities grounded in real-world discovery challenges, partnering closely with collaborators, customers, and strategic partners to ensure relevance and downstream value\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate insights into clear product requirements, acceptance criteria, and experiment plans that guide engineering and science teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive product execution from concept to launch while leading cross-functional teams across science, machine learning, automation, and software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage resource allocations (budget, compute, lab access, people) and decisions against a complex set of priorities (e.g., focus of experiments between AI model training and near-term partnership requests)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define clear success metrics and milestones, and clearly communicate progress against them to the company, including executive leadership\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;MS, PhD, or equivalent experience in medicinal chemistry, chemical biology, chemical engineering, biochemistry, or a related field, with a strong grounding in experimental science\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years in Product Management building new and/or experimental products in drug discovery, molecular profiling, machine learning, or scientific software development\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of drug development processes, molecular and cellular research tools, and wet and dry lab workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with small molecule discovery workflows (e.g., lead optimization, ADMET profiling, synthesis planning) is strongly preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience defining and executing target product profiles (TPPs) for new drug products, life sciences research tools, or scientific data platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with managing extremely complex, multidisciplinary projects using project management best practices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Relentlessly output-focused; driven by impact against our mission and program goals, not by doing tasks, owning decisions, or being in meetings\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to influence without authority and lead cross-functional teams effectively\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Highly collaborative and empathetic\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High degree of comfort with ambiguity and able to adapt to changing teams and needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Able to create small, achievable units of work from large, complex, and ambiguous goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and presentation skills, capable of conveying technical information to any audience\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with automated/self-driving labs and experience working with (not necessarily having run) ML approaches relevant to drug discovery and molecular science\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Following the rapid evolution of LLMs and other AI solutions and have thoughts and opinions on how this will impact the future of scientific discovery and product development\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in partnering with biopharma or research organizations to define collaborative milestones and workflows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$184,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$256,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4258093009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4150920009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4258093009,"updated_at":"2026-05-26T15:31:16-04:00","requisition_id":"8531","title":"Director / Senior Director, New Product Planning, Life Sciences","company_name":"Lila Sciences","first_published":"2026-05-26T15:31:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is hiring a Director / Senior Director, New Product Planning to help shape Lila Origins, our company and asset creation arm which partners to translate scientific vision into molecules, materials, and real-world ventures. As a member of a small, highly cross-functional team, you will bring the commercial voice to life sciences opportunities at the earliest stages, assessing where Lila\u0026#39;s platform can produce differentiated assets and shaping how those opportunities become ventures, partnerships, or programs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will spend your time at the interface of science, market, and deal structure. You will match therapeutic modalities to disease areas based on biological fit, competitive landscape, and commercial viability. You will build quantitative views of opportunities (market sizing, patient population modeling, deal economics) and translate them into recommendations for Origins and Lila leadership. You will pressure-test ideas with external operators, investors, and partners, and use what you learn to sharpen Lila\u0026#39;s Origins thesis.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role suits someone who has run new product planning, asset strategy, or commercial assessment work inside a pharma or biotech organization, lives close to industry trends, and is drawn to a builder environment where the asset list is being defined in real time. You will work closely with the VP, Head of Lila Origins, and sit within Corporate Development. The work is high ambiguity, high leverage, and deliberately cross-disciplinary.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Source and evaluate new life sciences opportunities for Origins, screening for scientific differentiation, commercial viability, and fit with Lila\u0026#39;s platform capabilities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track therapeutic area trends, modality breakthroughs, pipeline movement, and deal activity across pharma and biotech, and translate signal into actionable views for Origins\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Match therapeutic modalities to disease areas using biological rationale, competitive landscape, and unmet need, and recommend where Origins should concentrate effort\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and own market sizing, patient population, and deal economic models that inform go / no-go decisions on candidate ventures and partnerships\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop target product profiles and early commercial theses for assets under consideration, in partnership with Science, Product, and Corporate Development\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run primary and secondary research (KOL interviews, competitor tracking, payer and clinician landscape) to stress-test assumptions and sharpen recommendations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape deal structures and partnership constructs alongside Corporate Development, translating commercial logic into terms that work for Lila and counterparties\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to Origins\u0026#39; strategic thesis by synthesizing what we learn across opportunities into recommendations on therapeutic area focus, modality bets, and partnership models\u0026lt;/li\u0026gt;\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6-8+ years in new product planning, commercial assessment, asset strategy, or business development inside a pharma, biotech, or life sciences investor (VC, growth equity) setting, with a track record of shaping go / no-go calls on early assets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong scientific literacy in life sciences (therapeutics, modalities, disease biology); able to engage substantively with Science and external KOLs and translate scientific nuance into commercial implications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to match therapeutic modalities to disease areas, with a clear point of view on where biological fit, unmet need, and competitive landscape converge\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on modeling experience: market sizing, patient population, forecasting, deal economics; comfortable building models from scratch and defending assumptions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Active fluency in industry trends, pipeline movement, and deal activity across pharma and biotech; reads the market without needing a research function to brief you\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written and verbal communication; able to distill complex commercial and scientific analyses into crisp recommendations for senior leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort operating in high ambiguity with limited oversight; biased toward building structure where none exists\u0026lt;/li\u0026gt;\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Advanced degree in life sciences (PhD, MS in biology, chemistry, bioengineering) or an MBA with deep life sciences focus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Network of biotech operators, VCs, KOLs, and pharma BD leaders that you can tap for diligence and signal\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on use of AI tools in your workflows (market research, competitor tracking, modeling, synthesis) and a clear point of view on how AI is reshaping drug discovery and asset creation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience structuring or evaluating partnership models, joint ventures, or NewCo formation\u0026lt;/li\u0026gt;\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4257319009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4150403009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4257319009,"updated_at":"2026-05-29T13:59:53-04:00","requisition_id":"8529","title":"Director / Senior Director, Product, Physical Sciences","company_name":"Lila Sciences","first_published":"2026-05-29T13:59:53-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is hiring a Director, Product, Physical Sciences: a strategic, cross-functional product leader who shapes the vision, roadmap, and execution for platforms that accelerate scientific discovery and product development. Reporting to the Head of Physical Science Product, you will lead product strategy and delivery across capabilities at the intersection of physical science, simulation and physics-based modeling, lab automation, data and ML, and scientific intelligence.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires strong leadership, crisp prioritization, and the ability to translate complex technical and scientific work into clear product direction and measurable outcomes for internal teams, partners, and customers. You will be deeply customer-facing, serving as a trusted technical and product voice with prospects and partners, and shaping proposals, driving commercial conversations, and closing deals that bring Lila\u0026#39;s Physical Sciences platform to market.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Set the long-term product vision, roadmap, and portfolio priorities for Lila\u0026#39;s Physical Sciences portfolio.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define product strategy and target product profiles (TPPs) for physical-science workflows: materials design, formulation, characterization, reliability, scale-up.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive product execution from concept to launch across physical sciences, simulation, automation, data engineering, and ML.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent product to executives, scientific leaders, partners, and customers as the senior external voice for the domain.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own commercial outcomes end-to-end: opportunity shaping, proposal development, deal closure, and revenue for the domain.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define success metrics and milestones (technical, product, commercial) and report progress clearly to leadership.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;MS, PhD, or equivalent experience in physical sciences (materials science, chemistry, physics, chemical or mechanical engineering, related fields).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of product leadership (PM, Group PM, Product Lead) building and launching complex technical products: scientific software or hardware, simulation platforms, data products, ML-enabled systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of physical-science R\u0026amp;amp;D workflows: experimental iteration, instrumentation, data quality, scale-up constraints.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong familiarity with one or more of:\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong executive communication: clear storytelling and decisions legible to technical and non-technical audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Highly collaborative leadership style; influences across research, engineering, operations, and commercial teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Output- and impact-focused: driven by delivered results against mission and program goals.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Track record defining and executing TPPs and product strategies for scientific platforms (software + hardware + workflows), not just standalone applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building products at the intersection of LLMs/agentic systems and technical or scientific workflows, with a point of view on where these tools actually change throughput and decision quality in physical-science R\u0026amp;amp;D.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct experience with external partners or customers in technical domains (materials, energy, aerospace, manufacturing, industrials).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep domain knowledge in simulations, semiconductors, or formulations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$168,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$272,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null},{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4219171009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4128250009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":true,"value_type":"yes_no"}],"id":4219171009,"updated_at":"2026-05-21T08:24:46-04:00","requisition_id":"7462","title":"Director / Senior Director, Talent Acquisition","company_name":"Lila Sciences","first_published":"2026-04-15T10:52:15-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is building at the frontier of AI-driven science, and the quality of our team is the most important variable in our success. As Director of Talent Acquisition, you will lead a team of recruiters, sourcers, and TA Operations professionals maintaining a critically high talent bar across AI, Software, and Scientific hiring.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will set the strategic direction for how Lila finds, attracts, and closes exceptional talent in some of the most competitive markets in the world, designing interview processes, developing bespoke sourcing strategies, and building the metrics infrastructure to track what\u0026#39;s working. You will also coach and mentor your team, raising the overall craft of the function.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The right person is deeply curious about highly technical disciplines, well-networked across AI, Software, and Science talent communities, and driven to multiply the brilliance and culture of the company with every hire. You operate with high autonomy and are motivated by building a talent function that is itself a competitive advantage.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and develop a team of recruiters, sourcers, and TA Operations professionals, setting high standards for performance, craft, and candidate experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own full-cycle recruiting strategy across the entire company, scaling the organization across multiple technical disciplines, functions, and geographies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and continuously improve interview processes, sourcing strategies, and closing approaches for highly technical and competitive roles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and deploy AI-powered tools and custom sourcing methodologies that raise the ceiling on how Lila recruits, and socialize best practices up to and including the C-suite\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and manage recruiting metrics and reporting infrastructure to track pipeline health, conversion rates, time-to-fill, and quality of hire\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a thought partner to senior leadership on talent market trends, hiring forecasts, and team-building strategy\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of recruiting experience, with at least 3 years building and leading high-performing TA teams in a fast-growing company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success developing recruiter capability, raising the bar on sourcing craft, candidate quality, and team-wide performance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep technical recruiting expertise across multiple of the following: AI/ML, Software Engineering, Scientific research\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to scale a recruiting function across disciplines, geographies, and role types as a company grows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of building and deploying AI-powered tools and custom sourcing methodologies that give the team a structural advantage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong command of recruiting metrics and the ability to translate data into team priorities and hiring strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advises senior leadership and hiring managers on talent strategy and how to build world-class teams at scale\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience scaling TA functions at high-growth companies from early stage through significant organizational expansion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with the talent landscape in AI, biotech, or deep tech\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience recruiting internationally or building multi-region hiring pipelineS\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$168,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$272,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4240449009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4140501009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4240449009,"updated_at":"2026-05-14T17:07:44-04:00","requisition_id":"7493","title":"Director / Senior Director, Tax","company_name":"Lila Sciences","first_published":"2026-05-13T21:33:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA Sciences is seeking a Tax Director (or Senior Director, depending on experience) to build and lead our tax function. As a foundational hire — the first dedicated tax leader at LILA — you will establish our tax strategy, infrastructure, and ongoing compliance across federal, state, local, and international jurisdictions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will work hand-in-hand with Finance, Legal, and the executive team to ensure our tax position is optimized, compliant, and aligned with our long-term goals. This is a high-impact, high-ownership role where you\u0026#39;ll have the opportunity to shape the function from the ground up while contributing to the company\u0026#39;s strategic direction.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own end-to-end U.S. and international tax compliance and reporting — federal, state, local, income, sales \u0026amp;amp; use, and R\u0026amp;amp;D credits — and manage all related filings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and execute LILA\u0026#39;s tax planning strategy, optimizing the effective tax rate (ETR) while supporting the company\u0026#39;s growth, capital structure, and strategic initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead all aspects of ASC 740 income tax accounting — provisions, deferred tax, and uncertain tax positions — and manage relationships with external tax advisors and auditors.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Finance, Accounting, and Legal on the tax implications of M\u0026amp;amp;A, equity rounds, equity compensation, intercompany transactions, and major vendor agreements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build scalable tax infrastructure (systems, controls, documentation, advisor network) and advise on international tax matters including transfer pricing, GILTI, and FDII.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Monitor legislative and regulatory developments and serve as a cross-functional partner to Legal, People Ops, Supply Chain, and Finance — translating complex tax matters for non-tax stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of progressive tax experience, including a mix of Big 4 and/or in-house tax leadership at high-growth technology or life sciences companies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in U.S. federal and multi-state corporate income tax, with meaningful exposure to international tax.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong working knowledge of ASC 740 and GAAP-compliant tax accounting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated track record of building or significantly improving in-house tax functions, processes, and controls in a scaling environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience advising on complex transactions — equity rounds, M\u0026amp;amp;A, and strategic partnerships — from a tax perspective.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent judgment and communication skills, with the ability to translate complex tax matters for non-tax stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;CPA required.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Advanced degree (MST, LLM, or JD).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Biotech, life sciences, or AI-tech experience with significant R\u0026amp;amp;D operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with R\u0026amp;amp;D tax credits (IRC Section 41).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with equity compensation tax matters (ISO/NSO, 83(b), QSBS).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;International tax experience including transfer pricing documentation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$168,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$272,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4227385009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4133064009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4227385009,"updated_at":"2026-05-21T15:30:57-04:00","requisition_id":"7474","title":"Director, Sustaining Engineering \u0026 Lab Operations","company_name":"Lila Sciences","first_published":"2026-04-22T17:49:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is building AI Science Factories (AISFs) — highly automated, AI-directed labs that generate the proprietary experimental data powering our AI platform. As we scale from one AISF to many, the operational infrastructure that keeps those factories running is a first-class strategic capability.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Director of Sustaining Engineering \u0026amp;amp; LabOps owns that execution layer: \u0026lt;strong\u0026gt;fleet reliability, incident response, AISF health, root cause analysis, site-level continuous improvement, and the execution of platform releases and change control at the site\u0026lt;/strong\u0026gt; — alongside the operational foundation that makes it possible (consumables, reagents, CMMS, asset management, PM, first-response maintenance, multi-shift logistics).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role will build out Lila\u0026#39;s \u0026lt;strong\u0026gt;Local Site Sustaining Engineering\u0026lt;/strong\u0026gt; capability from the ground up, incorporating Maintenance Engineering (ME) as a sub-function. It reports solid-line to the VP, ASP Strategy and Operations with a \u0026lt;strong\u0026gt;dotted line to the Director of Sustaining Engineering (Global / Cambridge Core Engineering)\u0026lt;/strong\u0026gt; for platform standards, change control, and equivalence evidence. The function executes within centrally defined platform constraints and feeds structured signal back to Global Engineering through the operating cadences defined in the ASP Engineering operating model.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll define the operating model, lead its expansion to new sites, drive AI-enabled innovation in equipment health and lab operations, and author the standards that travel with every AISF we open. You\u0026#39;ll be a principal contributor to the Blueprint program — the global deployment framework defining how Lila builds and runs AISFs at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Local Site Sustaining Engineering (incl. Maintenance Engineering)\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The site-level execution layer described in the ASP Engineering operating model — executes within centrally defined platform constraints and feeds structured signal back to Cambridge Core Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build the Local Site Sustaining Engineering function from scratch in partnership with HCE and Global Engineering; incorporates Maintenance Engineering (instrument PM, calibration, first-response troubleshooting) as a sub-capability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own \u0026lt;strong\u0026gt;fleet reliability, incident response, and AISF health\u0026lt;/strong\u0026gt; at the site — on-call rotations, severity policy, incident playbooks, RCA library\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own deployment, commissioning, and operational readiness; partner with the Deployment Project team during stand-up and own steady-state post-handoff\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute the \u0026lt;strong\u0026gt;two-lane change model\u0026lt;/strong\u0026gt;: route platform-critical changes (Lane A) through Global Change Control; manage bounded site-local changes (Lane B) within explicit guardrails; document and time-box emergency-path bypasses\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide the site signature for the \u0026lt;strong\u0026gt;dual-signoff go-live model\u0026lt;/strong\u0026gt; (Platform Release Certification + Site/Workcell Commissioning acceptance)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive site-level continuous improvement within platform guardrails; surface candidates for promotion into platform releases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Triage equipment health data and act on drift signals and re-qualification triggers defined by the Equivalence Review\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define escalation and handoff protocols between Sustaining, ME, LabOps, Research Ops, and HCE/Automation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent the site in standing cadences: Platform Change Control, Release Readiness Review, Fleet Health Review, Equivalence Review\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Operating Model \u0026amp;amp; Governance\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and own the operating model across Lila sites — from single-shift pilot to multi-site, continuous operations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish org structure, staffing model, and governance framework\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Set and track KPIs (fleet uptime, MTTR, RCA close-out rate, drift response time, inventory accuracy, stockout rate, PM compliance, asset data integrity, ticket resolution); drive structured improvement cycles\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Consumables, Reagents \u0026amp;amp; Supply Chain\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own end-to-end supply chain continuity for lab consumables, reagents, and PPE across all shifts and sites\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Govern par-level inventory, reorder triggers, cold storage, and expiry tracking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead dual-source qualification for high-risk consumables; build the satellite site supply chain playbook for Blueprint\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;CMMS \u0026amp;amp; Equipment Asset Management\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Support CMMS implementation and governance; accountable for CMMS data accuracy across commissioned instruments and mobile assets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define asset tagging and location tracking standards aligned with Blueprint\u0026#39;s taxonomy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own PM coordination and calibration access; ensure CMMS feeds the broader system-of-record (PLM + release model) maintained by Global Engineering\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;AI Integration \u0026amp;amp; Continuous Improvement\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead Lila\u0026#39;s thinking on AI-enabled site operations and equipment health (predictive maintenance, anomaly detection, AI-assisted RCA, predictive inventory, asset tracking)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bring external best practices from biotech and industrial reliability into Lila\u0026#39;s operating model\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Vendor \u0026amp;amp; Logistics\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own vendor relationships for lab supplies, service contracts, and logistics within approved frameworks; partner with Finance/Corp Dev on contract strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Oversee lab-side receiving, space readiness for instrument deployments, waste/hazmat scheduling, gas management, and cold storage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage the support ticket system as the single intake for lab supply, equipment, space, and site engineering requests\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Team Leadership\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead, grow, and develop the team across shifts and sites; build the Local Site Sustaining Engineering team from first hire through a fully operational multi-site capability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define staffing models, hiring roadmaps, and capability plans for each sub-function\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a culture of engineering rigor, operational discipline, proactive problem-solving, and continuous improvement\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Blueprint \u0026amp;amp; Multi-Site Scaling\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Author and own the Site Sustaining Engineering and LabOps chapters of Blueprint — processes, system requirements, staffing models, vendor frameworks, sustaining-readiness criteria\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pilot the Site Launch Readiness Scorecard for each new facility; feed findings back into Blueprint\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the Director of Sustaining Engineering (Global) to keep local execution consistent with platform-level standards and to channel field learnings into platform evolution\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;12–15+ years of engineering and operations experience with a \u0026lt;strong\u0026gt;primary background in sustaining engineering, reliability engineering, or site-level engineering execution\u0026lt;/strong\u0026gt; for complex hardware-software integrated systems (automation, robotics, semiconductor, aerospace, medical devices, advanced manufacturing, or similar)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated track record of \u0026lt;strong\u0026gt;owning fleet reliability, incident response, and root cause analysis\u0026lt;/strong\u0026gt; at scale — severity policies, RCA cadences, MTBF/MTTR programs, durable corrective actions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience operating within (or building) a \u0026lt;strong\u0026gt;structured change control model\u0026lt;/strong\u0026gt; — versioned releases, change boards, traceability of \u0026quot;what\u0026#39;s running where\u0026quot; across sites\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of \u0026lt;strong\u0026gt;defining and scaling sustaining or site-level engineering systems\u0026lt;/strong\u0026gt; — built operating models and governance, not just inherited them\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong operations instincts — engineering rigor only matters if day-to-day execution (supply continuity, asset management, PM, shift coverage) actually works, and you\u0026#39;re willing to own that scope directly\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and leading teams across multiple functions, shifts, or sites, including hiring from scratch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable in a \u0026lt;strong\u0026gt;solid-line / dotted-line accountability structure\u0026lt;/strong\u0026gt; and partnering with a central engineering authority on standards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Recognized authority in your domain; comfortable operating as a peer to VPs and senior leaders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong strategic and systems-level thinking\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in a \u0026lt;strong\u0026gt;biotech or lab-based\u0026lt;/strong\u0026gt; environment — consumables, reagents, instrument PM, calibration, IQ/OQ/PQ\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience \u0026lt;strong\u0026gt;building or overseeing a LabOps or instrument Maintenance Engineering function\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with \u0026lt;strong\u0026gt;equivalence or drift-based qualification frameworks\u0026lt;/strong\u0026gt; (golden runs, tolerance bands, re-qualification triggers)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience applying \u0026lt;strong\u0026gt;AI or intelligent automation\u0026lt;/strong\u0026gt; to equipment health and operations workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting multi-shift or 24/7 operations and on-call coverage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with QMS-adjacent environments (SOP control, change control, training records)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience contributing to a global site deployment or standardization program\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in \u0026lt;strong\u0026gt;CMMS selection, implementation, and governance\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why This Role\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;Lila is at an inflection point — transitioning from building our first AI Science Factory to operating many, and scientific equivalence across that fleet depends on rigorous site-level engineering execution within tightly defined platform constraints. The Director of Sustaining Engineering \u0026amp;amp; LabOps will be a defining hire in that transition: the engineering leader who builds the site-level reliability foundation, runs the execution layer that keeps the fleet healthy, and ensures every AISF we open runs with the same rigor as the last — while owning the operational scaffolding that makes that execution possible.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$168,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$224,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null},{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4256865009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4150103009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4256865009,"updated_at":"2026-06-01T10:03:12-04:00","requisition_id":"8527","title":"Electrical Engineer I/II","company_name":"Lila Sciences","first_published":"2026-06-01T10:03:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is seeking a motivated Electrical Engineer I or II to contribute to the design and deployment of electrical systems in our automated scientific equipment. This role involves applying core engineering principles to support electrical systems design, rapid prototyping, and cross-system integration, while collaborating within multi-functional teams to advance laboratory automation. This is an ideal opportunity for an early-career engineer who is eager to grow, thrives in a fast-paced R\u0026amp;amp;D environment, and wants to see their work directly accelerate the future of autonomous science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the design and implementation of electrical solutions using CAD tools and design software to produce wiring schematics and support system optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist in designing and building prototypes, applying agile methodologies to test and iterate on electrical systems and components for novel scientific instruments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work alongside senior engineers and scientists to help convert manual benchtop workflows into automated solutions in an R\u0026amp;amp;D setting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the development of process instrumentation, sensors, and field-level control devices to ensure precision and reliability in system performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, update, and maintain engineering documentation for assigned projects, including wiring schematics, test plans, instrument I/O lists, and results analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform calibration, testing, troubleshooting, and validation of electrical systems to ensure performance, accuracy, and safety standards are met.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support multi-team automation projects by independently executing assigned technical tasks, meeting milestones, and adhering to engineering best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with cross-functional teams to gather requirements and deliver engineering solutions, raising risks early and sharing findings proactively.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;1–4 years of experience in electrical systems design, integration, or a closely related engineering discipline (co-op and internship experience counts).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foundational knowledge of CAD software and electrical design tools such as SolidWorks Electrical or AutoCAD Electrical.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with industrial electrical safety standards such as UL508A and IEC 60204-1.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Basic understanding of integration technologies including embedded controllers, PLCs, HMIs, and relevant controls principals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid troubleshooting fundamentals with hands-on experience using electrical test equipment such as oscilloscopes and multimeters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Effective communication and collaborative skills for working within project teams and with internal stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong attention to detail, commitment to quality, and willingness to raise risks early.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Degree in Electrical Engineering, Automation Engineering, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience or coursework in a scientific, R\u0026amp;amp;D, or life science environment with exposure to laboratory automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with SCADA systems, BMS, or EMS platforms in a lab or industrial setting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to Industry 4.0 concepts and IoT integration for smart laboratory solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Basic understanding of industrial networking concepts (IP addressing, OT/IT network separation).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience reading and interpreting P\u0026amp;amp;ID diagrams and control narratives.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$75,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$124,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4214677009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4125834009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4214677009,"updated_at":"2026-05-14T17:07:41-04:00","requisition_id":"7457","title":"Engineer II / Senior Mechatronics Engineer, Hardware \u0026 Controls Engineering","company_name":"Lila Sciences","first_published":"2026-04-14T12:21:39-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is seeking a Mechatronics Engineer II to join our Advanced Engineering Team to design, develop, and optimize electromechanical systems. This role bridges hardware, software, electrical, and controls to deliver intuitive, high-performance automated solutions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Write control software to coordinate sensors, actuators, and motion systems into cohesive automated solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop HMI/GUI interfaces for operator interaction and system monitoring\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prototype and build test jigs and fixtures to de-risk designs and optimize system performance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Program and tune servo drives, actuators, and sensor feedback loops\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create control algorithms and logic for automated equipment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cross-functional engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Mechatronics, Electrical, or Mechanical Engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3-5 years of relevant experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with HMI development platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with\u0026amp;nbsp;\u0026lt;strong\u0026gt;version control systems, especially Git \u0026amp;amp; Github\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with C/C++ and Python, or similar languages\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with microcontrollers (STM-32, Arduino, Raspberry Pi)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with rapid prototyping techniques\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience specifying and integrating sensors, motors, drives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of analog signal types (4-20mA, 0-10V) and discrete I/O\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Thrives in a hands-on prototype heavy environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong troubleshooting and debugging skills\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Understanding of machine states, control theory and PID tuning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience or familiarity with PLC based systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with industrial communication protocols (EtherNet/IP, RS-232, OPC/UA, MQTT)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience or familiarity with CAD software (Solidworks, Creo, Siemens NX)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working directly with end-users to develop requirements\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$93,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$158,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4254265009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4148644009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4254265009,"updated_at":"2026-05-26T22:12:30-04:00","requisition_id":"8524","title":"Engineer II /Senior Software Engineer, Simulation","company_name":"Lila Sciences","first_published":"2026-05-26T22:12:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building autonomous science platforms that compress the cycle time of scientific discovery. The Robotics and Scheduling teams develop the scheduling and coordination infrastructure that drives our AI Science Factory, commanding instruments, managing robotic fleets, and maximizing throughput across complex, multi-step lab workflows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Software Engineer to build and maintain a discrete event simulation platform that serves as a fast, lightweight complement to our high-fidelity robotics simulations. Your work will be the primary testbed for iterating on scheduling strategies, fleet coordination algorithms, and capacity planning, exercising the same core decision-making code that runs in production at a fraction of the cost and time. You will work closely with the Robotics and Scheduling teams to ensure the simulation remains a trustworthy, reproducible tool for driving real engineering decisions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and maintain a low-fidelity discrete event simulation platform modeling lab workflows, instrument states, and robotic transport.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect the platform so production scheduling and fleet coordination code runs with minimal changes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build experiment tracking and reproducibility infrastructure so every run is logged, versioned, and comparable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop tooling for parameter sweeps, scheduler benchmarks, and capacity planning across lab configurations and workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Scheduling and Robotics teams to validate new scheduling and coordination strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ship clean, well-documented simulation APIs other engineers can build on.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;1-3 years of hands-on experience in simulation engineering, operations research, or a closely related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong software engineering fundamentals: testing, CI/CD, API design, and the ability to balance velocity with maintainability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of experiment reproducibility: seeding, versioning, logging, and structured comparison of simulation runs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid grasp of system modeling concepts: queuing, resource contention, event scheduling, and stochastic behavior.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and comfort working across teams with different technical backgrounds.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Practical experience with discrete event simulation (e.g. SimPy).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and maintaining internal developer tools or platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in robotics, warehousing, or logistics environments where physical transport is a first-class part of the system model.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with scheduling algorithms or heuristics (greedy dispatching, priority rules, constraint-based approaches).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with experiment tracking platforms (MLflow, Weights \u0026amp;amp; Biases, or similar).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort reasoning about the tradeoffs between simulation fidelity, speed, and coverage of production code paths.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$120,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$192,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4040086009,"name":"Robotics","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4251026009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4146798009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4251026009,"updated_at":"2026-05-28T20:41:55-04:00","requisition_id":"8520","title":"Enterprise Account Lead, Life Sciences","company_name":"Lila Sciences","first_published":"2026-05-28T20:41:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking an Enterprise Account Lead, Life Sciences to define how top 20 pharma and leading biotech companies engage with the world\u0026#39;s first platform for scientific superintelligence. You\u0026#39;ll be a foundational member of the team responsible for building and scaling our enterprise sales organization and driving deal execution for Lila\u0026#39;s AI-driven drug discovery and life sciences platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a revenue-focused individual contributor, you\u0026#39;ll own and grow a portion of our life sciences revenue pipeline, working across technical product, science, GTM, software, robotics, and Physical AI teams to translate our closed-loop AI and autonomous lab capabilities into signed enterprise contracts across target discovery, small molecule, and biologics. You\u0026#39;ll lead deep, multi-stakeholder engagements with a portfolio of top 20 pharma accounts, and in parallel, open new doors across the biotech ecosystem to build a repeatable mid-market motion.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The role demands technical depth, business acumen, an entrepreneurial mindset, and customer-centricity, and it is intentionally shaped to grow with the person who takes it on. In year one, you will work across product and customer strategy, customer technical discovery, sales process design, and account leadership in one of the most technically demanding verticals in enterprise software.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and grow a qualified pipeline against clear revenue targets, from lead generation through close, with accurate forecasts and deal records.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead complex, multi-quarter sales cycles across discovery, translational, platform, data/AI, BD/licensing, and business stakeholders at top 20 pharma accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own a portfolio of pharma accounts end-to-end, building executive relationships across R\u0026amp;amp;D, BD/licensing, and IT, and running whitespace, expansion, and renewal planning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Open new doors across the biotech ecosystem, sourcing opportunities and shaping a repeatable mid-market motion as it matures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with product, science, and leadership to scope high-value engagements, unblock technical inputs, and keep deals moving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own technical RFI and DDQ response, routing scientific questions to internal experts and packaging customer-facing deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain the revenue CRM, BD tooling, and a repeatable GTM playbook including qualification criteria, battle cards, and proposal templates.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS, MS, PhD, or equivalent experience in biology, chemistry, biochemistry, bioengineering, or adjacent fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2-5+ years in a client-facing role where you owned outcomes for customers, across pharma BD or alliance management, life sciences strategy consulting, pharma-tech enterprise sales or pre-sales, customer success, or applied science.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable in a fast-moving, technical, cross-functional environment where the process, materials, and role itself are still being shaped.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written and verbal communication paired with disciplined execution, comfortable managing multiple live accounts in parallel with limited oversight.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of carrying multi-quarter pursuits where momentum comes from sustained stakeholder orchestration and proof-of-value milestones.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborative, low-ego working style, able to build trust quickly with PMs, scientists, engineers, and product leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on use of AI tools in day-to-day workflows and curiosity about how AI and autonomous science will reshape life science.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Working familiarity with AI/ML applied to life sciences: target identification, generative models for molecules and biologics, predictive ADMET, computational biology.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct exposure to enterprise R\u0026amp;amp;D buying cycles in pharma, biotech, diagnostics, or therapeutics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in frontier AI (SaaS, biotech, robotics, or data) selling into technical buyers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience as a founder or early GTM/commercial hire helping define early processes, playbooks, and collateral.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A point of view on where AI is and is not useful in life sciences R\u0026amp;amp;D today.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$88,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$144,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4251025009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4146797009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4251025009,"updated_at":"2026-05-20T09:27:49-04:00","requisition_id":"8519","title":"Enterprise Account Lead, Physical Sciences","company_name":"Lila Sciences","first_published":"2026-05-20T09:27:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking an Enterprise Account Lead, Physical Sciences to define how Fortune 500 energy, chemicals, manufacturing, and materials companies engage with the world\u0026#39;s first platform for scientific superintelligence. You\u0026#39;ll be a foundational member of the team responsible for building and scaling our enterprise sales organization and driving deal execution for Lila\u0026#39;s AI-driven materials and chemistry platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a revenue-focused individual contributor, you\u0026#39;ll own and grow a portion of our physical sciences revenue pipeline, working across technical product, science, GTM, software, robotics, and Physical AI teams to translate our closed-loop AI and autonomous lab capabilities into signed enterprise contracts across catalyst, flow chemistry, and advanced materials.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role blends technical depth with strong business acumen, an entrepreneurial mindset, and customer-centricity, and it is intentionally shaped to grow with the person who takes it on. You will prospect, qualify, and close enterprise deals, deliver structured market insights back to inform our product roadmap, and help to build out our GTM organization. In year one, you\u0026#39;ll work across product and customer strategy, customer technical discovery, sales process design, and account leadership in one of the most technically demanding verticals in enterprise software.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build, manage, and grow a high-quality pipeline against clear revenue targets, from opportunity identification and qualification through proposal, negotiation, and close.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead complex, multi-stakeholder sales cycles across R\u0026amp;amp;D, platform/technology, data/AI, and business leadership, coordinating internally to ensure tight execution and timely progress.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain accurate revenue forecasts and deal records, surfacing tradeoffs, priorities, and decisions for Lila\u0026#39;s leadership team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage confidently with physical sciences buyers, speaking their language and helping customers understand where Lila fits in their R\u0026amp;amp;D stack.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own a portfolio of strategic accounts end-to-end, building executive relationships and running account-level planning (whitespace, expansion, renewal).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive day-to-day account execution: account research, meeting prep, customer-facing materials (pitch decks, proposals, briefs), structured follow-up, and stakeholder management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with product, science, and business teams to scope high-value customer engagements, mapping customer needs and timelines against internal capabilities and resourcing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate internally across product, science, and leadership, bringing the right experts into customer conversations and unblocking technical inputs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own technical RFI and DDQ response, routing scientific questions to internal experts and packaging polished customer-facing deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track the AI/ML partnership landscape across physical sciences and translate it into implications for Lila\u0026#39;s positioning, messaging, and competitive strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Refine and maintain the revenue CRM, build BD tools and processes (proposal templates, delivery handoffs, governance), and define a repeatable GTM playbook (qualification criteria, battle cards, talk tracks).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS, MS, PhD, or equivalent experience in chemistry, materials, physics, chemical engineering, or adjacent fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2-5+ years in a client-facing role where you owned outcomes for customers, across BD, enterprise sales, management consulting, customer success, or applied science (industrial, energy, or materials).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable in a fast-moving, highly technical, cross-functional environment where the sales process, materials, and role itself are still being shaped.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written and verbal communication, able to translate technical depth into clear, customer-ready narratives for both R\u0026amp;amp;D buyers and procurement teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Highly organized and execution-oriented, comfortable managing multiple live accounts in parallel with limited oversight.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborative, low-ego working style, able to build trust quickly with PMs, scientists, engineers, and product leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on use of AI tools in day-to-day workflows and curiosity about how AI and autonomous science will reshape physical science.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Working familiarity with AI/ML applied to physical sciences: property prediction, generative models for materials, Bayesian optimization, simulation-driven design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct exposure to enterprise R\u0026amp;amp;D buying cycles in chemicals, energy, materials, semiconductors, or industrial biotech.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in frontier AI (SaaS, biotech, robotics, or data) selling into technical buyers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience as a founder or early GTM/commercial hire helping define early processes, playbooks, and collateral.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A point of view on where AI is and is not useful in physical sciences R\u0026amp;amp;D today.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$88,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$144,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4205624009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4120161009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4205624009,"updated_at":"2026-05-25T22:31:40-04:00","requisition_id":"7441","title":"Head of Software Product","company_name":"Lila Sciences","first_published":"2026-04-08T10:47:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the \u0026lt;strong\u0026gt;\u0026lt;span class=\u0026quot;notion-enable-hover\u0026quot; data-token-index=\u0026quot;1\u0026quot;\u0026gt;Head of Software Produc\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;notion-enable-hover\u0026quot; data-token-index=\u0026quot;1\u0026quot;\u0026gt;t\u0026lt;/span\u0026gt; \u0026lt;/strong\u0026gt;you will serve as the primary architect of our software product strategy. You will lead the development of our “Agentic Superscience” software—the foundational platform designed to reinvent the scientific method through AI. Reporting directly to the Chief Revenue \u0026amp;amp; Product Officer, you will be responsible for transforming complex scientific workflows into a scalable, world-class software ecosystem. You will set the roadmap, build the processes, and the culture necessary to deliver Lila’s most critical competitive advantage. As a member of the leadership team, you will play a critical role in shaping the culture, technical strategy, and therapeutic impact of our software.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;The Agentic Platform\u0026lt;/strong\u0026gt;: Lead the roadmap and build of our foundational software platform that enables AI agents to conduct, analyze, and iterate on complex materials, chemistry, and biology experiments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;A Cross-Functional Engine:\u0026lt;/strong\u0026gt; Create the integrated framework that allows Software, ML, and Wet-lab teams to work in a continuous, high-performance loop.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customer-Centric Interfaces:\u0026lt;/strong\u0026gt; Deliver reliable, intuitive interfaces and high-performance endpoints that make scientific superintelligence accessible to diverse users.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operational Excellence:\u0026lt;/strong\u0026gt; Own the product lifecycle from discovery to delivery. Implement robust frameworks for prioritization that balance rapid innovation with enterprise-grade reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;The Product Org \u0026amp;amp; Executive Voice:\u0026lt;/strong\u0026gt; You will build the frameworks for high-level communication, serving as the authoritative voice for the software product and providing the strategic insights that will influence Lila’s overall trajectory.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Qualifications\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of experience in Product Management, with a track record of shipping complex, multidisciplinary software systems (0-to-1 and scaling phases) using a modern tech stack.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building software with AI at its core and must be AI-native.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of the scientific method, either via schooling in a scientific domain or from experience building software for scientists\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience building and leading large, high-performing teams in fast-paced, high-stakes environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A drive for impact against mission goals, with a high degree of comfort in the ambiguity of a ‘founding’ environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Capable of communicating technical and scientific concepts to any audience, from engineers to investors.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with automated or self-driving labs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building complex agentic AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$400,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$500,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4179505009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4103651009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4179505009,"updated_at":"2026-05-14T17:07:35-04:00","requisition_id":"7390","title":"Head of Supply Chain \u0026 Strategic Sourcing","company_name":"Lila Sciences","first_published":"2026-03-11T10:10:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re seeking a Head of Supply Chain \u0026amp;amp; Strategic Sourcing to design and scale the function that keeps our scientific platform moving. You’ll own sourcing, procurement, vendor management, inventory, and payments with responsibility for hundreds of millions in annual spend across scientific equipment, lab operations, consumables, and technology infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role sits at the intersection of science, engineering, and finance. You’ll work closely with R\u0026amp;amp;D, engineering, and AI research teams to ensure material availability, supplier performance, cost optimization, and operational resilience. If you’ve built procurement functions in environments where the stakes are high and the pace is fast whether in biotech, AI infrastructure, advanced materials, or hardware this is the role for you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and scale the end-to-end Procure-to-Pay (P2P) process: sourcing strategy, purchasing channels, vendor governance, and payment operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead strategic sourcing: supplier selection, contract negotiations, and ongoing vendor management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build scalable supply chain infrastructure to support complex labs, capital equipment programs, specialized materials, and evolving R\u0026amp;amp;D needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement and optimize ERP/P2P systems, automation, and operations (procurement tools, AP workflows, controls).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create KPIs and dashboards to drive cost savings, supplier performance, and working capital optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish governance, policies, internal controls, and scalable systems for compliance and audit readiness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Centralize procurement operations to align purchasing, payments, leasing, and working capital management.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of progressive leadership in procurement, supply chain, or P2P operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building or transforming supply chain/P2P in a high-growth setting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in biotech, life sciences, AI, advanced materials, or hardware-enabled environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep knowledge of ERP and procurement systems (examples: NetSuite, Coupa, Ariba, Ramp; familiarity with Prendo if applicable).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success negotiating complex supplier agreements and driving cost optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading cross-functional teams through rapid growth in spend and headcount.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience implementing modern procurement or ERP systems to replace legacy infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience overseeing leasing and equipment financing aligned with capital strategy.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with public-company readiness, SOX compliance, and audit environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing equipment leasing and financing strategies to optimize capital deployment and cash flow.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Relevant certifications (e.g., MBA, CPIM, CPSM) or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$272,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4070054009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":null,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":null,"value_type":"yes_no"}],"id":4070054009,"updated_at":"2026-05-14T13:59:39-04:00","requisition_id":null,"title":"Join Our Talent Community","company_name":"Lila Sciences","first_published":"2025-12-02T10:07:28-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;If you don’t see a current role that matches your background but want to be considered for future opportunities at Lila, join our talent community here.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[],"offices":[]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4249275009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145669009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4249275009,"updated_at":"2026-05-20T09:37:21-04:00","requisition_id":"8516","title":"Lab IT \u0026 OT Systems Administrator","company_name":"Lila Sciences","first_published":"2026-05-20T09:37:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Lab IT/OT Systems Administrator is a hands-on technology role responsible for the day-to-day administration, troubleshooting, and continuous improvement of computing infrastructure inside Lila Sciences\u0026#39; laboratory environments. This role owns the layer of technology that sits between corporate IT and operational technology (OT), the workstations, edge compute, lab-area networking, and instrument-adjacent systems that enable autonomous science to run reliably.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Senior Director, OT Security and IT/OT Convergence, the Lab IT/OT Systems Administrator works in close partnership with the OT network architecture team, corporate IT operations, facilities/building automation, and laboratory operations leadership. The successful candidate is comfortable operating in a complex, fast-moving research environment where standard corporate IT practices do not always apply, where change control matters more than speed, and where the end users are scientists running irreplaceable experiments on highly specialized equipment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a foundational role in Lila\u0026#39;s IT/OT convergence program. The person hired will not only deliver operational support but will also help define standards, build the device catalog, and establish the playbooks that scale the function as the company grows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lab IT Operations and Support\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide day-to-day administration and troubleshooting for laboratory computing assets, including lab-area workstations, edge compute nodes, lab-supplied PCs, and dedicated lab-network infrastructure (switches, access points, cabling).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Respond to and resolve Lab IT incidents and service requests through the enterprise ITSM platform, applying appropriate prioritization for experiments in progress and time-sensitive scientific work.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain a strong on-site presence across Lila\u0026#39;s laboratory locations; observe how scientists and lab operators use technology in practice and proactively identify issues before they become tickets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate scheduled maintenance windows for Lab IT systems in alignment with laboratory operations leadership; ensure changes do not disrupt active experiments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Instrument-Adjacent and OT Boundary Support\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide IT-side support for laboratory instruments and automated platforms, including networking, identity integration, agent deployment decisions, and image/configuration alignment with company standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the OT network architecture team, instrument vendors, and laboratory automation engineers to support new instrument deployments and changes, recognizing that instrument-connected systems require specialized handling distinct from standard corporate endpoints.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Troubleshoot authentication, networking, and connectivity issues on vendor-supplied lab equipment, including systems with non-standard configurations, embedded operating systems, or unique vendor account models.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Asset Management and Inventory\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Maintain accurate, current Lab IT asset records in the enterprise CMDB, including device tier, owner, location, configuration baseline, and lifecycle state.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apply company labeling standards (QR/barcode asset tags linked to CMDB records) to Lab IT assets and conduct periodic ownership reconciliation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a primary point of contact when security or vulnerability management tools generate alerts on Lab IT assets, executing the workflow of alert review, asset identification, owner notification, and resolution.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Standards, Onboarding, and Procurement Support\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the development and ongoing maintenance of the standardized device catalog and golden image program for laboratory computing equipment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the secure onboarding of new laboratory instruments and platforms, including baseline configuration, segmentation placement, monitoring enrollment, and owner assignment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide IT/OT review of laboratory procurement requests involving compute or network equipment, ensuring new acquisitions can be supported, secured, and monitored before they are placed into production.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Network and Segmentation Support\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work alongside the OT network team to support and operate dedicated laboratory network infrastructure, including access points, intermediate distribution switches, and instrument-tier switching.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support enterprise network migration and modernization projects from the laboratory side, including SD-WAN cutovers, DHCP and reservation validation, and post-cutover instrument connectivity troubleshooting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and remediate drift from segmentation and architecture standards across laboratory sites.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Coordination, Documentation, and Cross-Site Coverage\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Coordinate all lab-impacting technology changes through the established laboratory operations approval channels; uphold change-control discipline as a core principle of the role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate between the network/architecture, facilities/building-automation, and laboratory operations perspectives; resolve issues that arise at the boundaries between these groups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide cross-coverage between laboratory sites and partner with managed-service support providers and second-shift resources as the function scales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Document Lab IT standards, procedures, and runbooks so the function remains operable, scalable, and onboardable as the team grows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Required Experience and Education\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Information Technology, or a related field; equivalent professional experience considered.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3 to 7 years of hands-on experience in IT systems administration, with a meaningful portion of that experience spent supporting non-standard or specialized environments (laboratories, manufacturing, healthcare clinical environments, broadcast, or similar settings where standard corporate IT practices must be adapted).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience supporting users and systems in environments where rebooting, re-imaging, or applying patches on demand is not an acceptable approach, and where coordinated change windows are required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in close partnership with networking, infrastructure, or operational technology teams on shared systems and boundary handoffs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written and verbal communication skills, with the ability to explain technical concepts to scientists, engineers, and executives in language appropriate to each audience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willingness and ability to work on-site at Lila\u0026#39;s laboratory locations on a regular basis; this is not a remote role.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Technical Expertise\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong Windows administration skills: domain join, group policy, drivers and networking stack, advanced troubleshooting; working comfort with macOS and Linux as they appear on laboratory benches.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid networking fundamentals: VLANs, DHCP, DNS, switch port configuration, Wi-Fi troubleshooting, and the ability to read packet captures when vendor diagnostics fall short.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern endpoint management platforms such as Microsoft Intune, JAMF, Addigy, or SCCM, including the judgment to know when standard policies should not be applied to specialized equipment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identity and access administration experience with Okta, Active Directory, Entra ID, or equivalent SSO platforms; comfort making informed decisions about local vs. domain accounts on specialized equipment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with ITSM/CMDB platforms (Freshservice, ServiceNow, Jira Service Management, or similar), including asset management and inventory hygiene.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with cybersecurity fundamentals, endpoint security tooling, and patch management practices.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Working Conditions\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;On-site work at Lila\u0026#39;s laboratory facilities is required; this role is defined by physical presence in and around laboratory spaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cross-site travel between laboratory locations may be required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Occasional work outside standard business hours during scheduled maintenance windows, major changes, or incident response.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work in proximity to laboratory environments, including standing, walking, and light lifting (e.g., laboratory computing equipment); appropriate personal protective equipment will be provided as required.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Preferred Qualifications\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Direct experience in a life sciences, biotechnology, or pharmaceutical laboratory environment, particularly one with automated laboratory equipment (liquid handlers, plate readers, sequencers, robotic arms, or similar).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to operational technology (OT) or industrial environments, PLCs, SCADA, building automation systems, or Purdue Model concepts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with SD-WAN platforms (e.g., Cato Networks), OT asset visibility and vulnerability platforms (e.g., Claroty, Tenable OT), and OT-aware security frameworks (IEC 62443, NIST SP 800-82).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting environments subject to GxP, 21 CFR Part 11, ISO 9001, or comparable quality/regulatory frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building or maintaining standardized device catalogs, golden images, and secure onboarding workflows for specialized equipment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Industry certifications such as CompTIA Network+ or Security+, Microsoft 365 Certified, ITIL Foundation, or Global Industrial Cyber Security Professional (GICSP).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Personal Attributes\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Disciplined and methodical, with a strong preference for understanding root cause over applying quick fixes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer-oriented mindset, with patience and curiosity for the work of the scientists and lab operators this role supports.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working in ambiguity and helping to define a function that is still being built, while also delivering reliable day-to-day operational support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong sense of accountability; treats change-control, documentation, and coordination as core to the role rather than overhead.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$88,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$126,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4204248009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4119270009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4204248009,"updated_at":"2026-05-14T17:07:39-04:00","requisition_id":"7434","title":"Life Sciences Technical Program Manager","company_name":"Lila Sciences","first_published":"2026-04-07T15:55:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is applying its autonomous science platform to some of the most complex challenges in biology and medicine — from protein therapeutics and nucleic acid design to antibody discovery and cell therapies. The Life Sciences experiment team is running programs where the pace of autonomous experimentation demands real operational rigor, and we\u0026#39;re looking for a Technical Program Manager to provide it. You\u0026#39;ll work closely with the Life Sciences domain lead who sets scientific strategy and direction, while you own the execution layer: the project plans, the cross-functional dependencies, and the blockers that need to be surfaced and resolved before they become problems. You won\u0026#39;t be directing scientific work — you\u0026#39;ll be creating the conditions for it to happen at speed and at scale. This is a role for someone who genuinely loves the craft of program management in complex, technical environments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own day-to-day program execution within the Life Sciences experiment team — maintaining project plans, tracking milestones, and ensuring agentic science programs are delivered on time and with rigor\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the primary operational interface between the Life Sciences team and platform partners (Automation, ML, Engineering) communicating needs, aligning on priorities, and keeping dependencies visible and resolved\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate scientific program goals into structured workstreams that enable autonomous experimentation to run efficiently and at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run program rituals including sprint planning, stand-ups, and retrospectives with a bias toward purposeful meetings, documentation, and follow-through\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the Life Sciences domain lead to surface blockers, risks, and interdependencies early and drive them to resolution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the delivery of commercial contracts by working with the Product \u0026amp;amp; Revenue team to ensure program commitments are well-scoped, tracked, and clearly communicated to all stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to capacity planning and resource coordination in partnership with scientific leadership\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of program or project management experience in a life sciences or biotechnology environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree in Life Sciences, Bioengineering, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of managing multiple concurrent programs in fast-paced, ambiguous environments and energized by building programs from the ground up; early-stage start-up experience is a strong plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to coordinate across scientific and operational stakeholders and manage complex cross-functional dependencies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sufficient scientific fluency to understand Life Sciences program goals and communicate them clearly to partner teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting commercial program delivery and working with external partners or customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional written and verbal communication skills — able to break complex goals into clear, achievable units of work and keep stakeholders consistently well-informed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with project management tools such as Smartsheet, Asana, Jira, or similar\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;PMP, PgMP, or agile certification (e.g., CSM, SAFe) is a plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$128,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$172,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4116513009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4079220009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4116513009,"updated_at":"2026-05-14T17:07:28-04:00","requisition_id":"7310","title":"Machine Learning Engineer II / Senior Machine Learning Engineer I, Physical Sciences","company_name":"Lila Sciences","first_published":"2026-02-03T14:00:47-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This Machine Learning Engineer for the Physical Sciences team focuses on building and operating end-to-end, scalable machine learning workflows that solve a diversity scientific use cases in materials, chemistry and physical sciences. Your work will advance research efforts on state-of-the-art algorithms to build towards scientific superintelligence across today’s greatest challenges in physical sciences.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, implement, and maintain end‑to‑end ML pipelines (data ingestion, feature engineering, training, evaluation, deployment, monitoring).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Productionize models and services with robust testing, observability, and documentation in collaboration with cross-functional software teams and build CI/CD workflows and automated evaluations to ensure safe, frequent releases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with domain scientists and platform engineers to translate research insights into performant, scalable systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to technical design reviews, coding standards, and mentoring of best practices.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong Python software engineering fundamentals (testing, packaging, typing); experience with machine learning frameworks (e.g., PyTorch, Huggingface, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience deploying ML services to production in cloud-based infrastructure (FastAPI/GRPC, containers, orchestration, cloud infra).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands‑on experience with model deployment in production systems (LLMs, multimodal models, databases, RAG) with strong debugging and profiling skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear communication and collaboration in cross‑functional settings.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Exposure to scientific or engineering domains (materials, chemistry, physics) and related data formats/benchmarks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;GPU optimization experience (CUDA, Triton, compilation, distributed training).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior contributions to open‑source ML or scientific software.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with workflow orchestration, data provenance, or large‑scale compute environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$128,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$198,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013388009,"name":"Physical Sciences AI","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4116672009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4079325009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4116672009,"updated_at":"2026-05-15T14:30:46-04:00","requisition_id":"7311","title":"Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings","company_name":"Lila Sciences","first_published":"2026-02-03T15:35:13-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re hiring a Machine Learning Scientist to advance multi‑modal reasoning with vision‑language models (VLMs) on real-world scientific data including, but not limited to: figures and plots, microscopy data from diverse sources. You’ll design and build state‑of‑the‑art methods to advance the state of Scientific Superintelligence.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead research on multi‑modal reasoning systems that interpret scientific data (images, plots, text, etc) using state‑of‑the‑art and custom VLMs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design training, adaptation and test-time methods and strategies (e.g., instruction tuning, supervised learning, RLHF, RAG) for scientific understanding tasks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build datasets and benchmarks from real scientific artifacts (e.g., microscopy, spectra, protocols) to understand model performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop perception modules (e.g, OCR, table/structure recognition, plot parsing) for multi-modal data modalities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with domain scientists and engineers to scale research into production ready systems for scientific superintelligence.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Advanced degree in a relevant field (CS/AI, Applied Math/Stats, EE) or a physical‑sciences discipline (Materials, Chemistry, Physics) with strong ML focus; or equivalent research/industry experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record in multi‑modal ML or VLMs demonstrated via shipped systems, publications, or open‑source.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of scientific QA/benchmarks and custom evaluation design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with multi-modal fine-tuning, document parsing \u0026amp;amp; understanding, dataset curation and benchmarking.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong engineering skills centered on modern machine learning frameworks (e.g., PyTorch, Huggingface).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear communication and collaboration in cross‑functional settings.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with scientific data modalities in real-world laboratories such as microscopy images.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Publications in top ML/CV/NLP venues or tangible impact in applied industrial research.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open‑source multi‑modal tooling, evaluation suites, or datasets.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$176,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$304,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013388009,"name":"Physical Sciences AI","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4031437009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4022248009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4031437009,"updated_at":"2026-05-14T17:07:14-04:00","requisition_id":"7066","title":"Machine Learning Scientist I/II, Scientific Reasoning","company_name":"Lila Sciences","first_published":"2025-10-06T13:56:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Machine Learning Scientist focused on Scientific Reasoning, you will help pioneer the next generation of AI systems capable of reasoning like a scientist. You’ll design novel frameworks that push the boundaries of LLM-based reasoning methods — while also implementing scalable frameworks that integrate with Lila’s platforms. This role bridges deep theoretical thinking with practical ML engineering, enabling breakthroughs in how scientific hypotheses are generated, tested, deployed and optimized.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and formalize frameworks for\u0026amp;nbsp;\u0026lt;strong\u0026gt;scientific reasoning with LLMs\u0026lt;/strong\u0026gt;, including structured prompting, reasoning chains, and test-time compute.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Explore and implement methods for\u0026amp;nbsp;\u0026lt;strong\u0026gt;in-context learning, self-reflection, and adaptive reasoning\u0026lt;/strong\u0026gt;\u0026amp;nbsp;in scientific discovery workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build\u0026amp;nbsp;\u0026lt;strong\u0026gt;scalable model prototypes\u0026lt;/strong\u0026gt; that can be deployed to solve frontier scientific problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with scientists and engineers to encode\u0026amp;nbsp;\u0026lt;strong\u0026gt;domain knowledge\u0026lt;/strong\u0026gt;\u0026amp;nbsp;into reasoning systems that integrate symbolic and statistical approaches.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD (preferred) or equivalent research/industry experience in Computer Science, Machine Learning, AI, Engineering, Materials Science or related fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in\u0026amp;nbsp;\u0026lt;strong\u0026gt;Python\u0026lt;/strong\u0026gt;\u0026amp;nbsp;with deep expertise in LLM frameworks (PyTorch,\u0026amp;nbsp;HuggingFace Transformers, \u0026lt;strong\u0026gt;LangChain, LlamaIndex\u0026lt;/strong\u0026gt;, and related toolkits).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in\u0026amp;nbsp;\u0026lt;strong\u0026gt;LLM reasoning methods\u0026lt;/strong\u0026gt;: in-context learning, test-time compute, chain-of-thought, or tool-augmented reasoning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to balance\u0026amp;nbsp;\u0026lt;strong\u0026gt;theoretical research\u0026lt;/strong\u0026gt;\u0026amp;nbsp;with\u0026amp;nbsp;\u0026lt;strong\u0026gt;practical ML engineering\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to deliver scalable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Research experience in\u0026amp;nbsp;\u0026lt;strong\u0026gt;causal reasoning, symbolic AI, or probabilistic programming\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to\u0026amp;nbsp;\u0026lt;strong\u0026gt;open-source LLM reasoning frameworks\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with\u0026amp;nbsp;\u0026lt;strong\u0026gt;scientific discovery pipelines\u0026lt;/strong\u0026gt;\u0026amp;nbsp;in chemistry, biology, or materials science.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with\u0026amp;nbsp;\u0026lt;strong\u0026gt;multimodal reasoning\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(e.g., combining text, image, and experimental data).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, ACL).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$176,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$304,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013388009,"name":"Physical Sciences AI","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4195640009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4115136009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4195640009,"updated_at":"2026-05-14T17:07:38-04:00","requisition_id":"7425","title":"Manager / Senior Manager, Finance, Revenue Accounting","company_name":"Lila Sciences","first_published":"2026-03-29T14:53:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a detail-oriented and highly collaborative Revenue Manager to own the operational execution of revenue accounting for licensing, collaboration, and other complex revenue agreements. This role sits within the finance function and focuses on ensuring accurate, timely, and scalable revenue processes, partner reporting, and billing operations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Revenue Operations \u0026amp;amp; Execution\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own day-to-day revenue accounting operations for collaboration, licensing, and other revenue-generating agreements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate contract terms into operational workflows for revenue recognition, billing, and reporting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure revenue is recorded accurately and consistently in accordance with established accounting policies\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Contract Interpretation \u0026amp;amp; Application\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Review revenue agreements and summarize key accounting and operational terms (e.g., billing triggers, milestones, deliverables)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apply ASC 606 principles to support proper treatment of revenue, in partnership with technical accounting where needed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a bridge between technical accounting conclusions and operational execution\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Close \u0026amp;amp; Reporting\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead monthly and quarterly close activities for revenue, including journal entries and reconciliations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain supporting schedules and ensure completeness and accuracy of revenue balances\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support financial reporting and audit requests with well-organized documentation\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Partner Billing \u0026amp;amp; Reporting\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own invoicing, cash application, and partner reporting processes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure billing and reporting align with contractual terms and timelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track and manage milestone billing, cost-sharing arrangements, and other variable components\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Process Improvement \u0026amp;amp; Systems\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and refine scalable processes for managing revenue\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with systems teams to operationalize revenue workflows in ERP systems (e.g., NetSuite)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop templates, trackers, and documentation to improve efficiency and reduce risk\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Coordination\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with legal, FP\u0026amp;amp;A, business development, and scientific teams to ensure alignment between contracts and execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively identify gaps or ambiguities in agreements that could impact revenue operations\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years of experience in accounting, with exposure to revenue recognition\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong working knowledge of ASC 606 and ability to apply it in practice\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience operationalizing revenue processes (billing, revenue tracking, reconciliations)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience reviewing contracts and translating terms into accounting workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong attention to detail and ability to manage multiple agreements simultaneously\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent organizational and cross-functional communication skills\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in biotech, life sciences, or deep tech environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with collaboration agreements, licensing, milestone-based revenue, or cost-sharing arrangements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with NetSuite or similar ERP systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;CPA\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to operate in a fast-paced, evolving environment\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$108,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$186,667 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4207885009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4121607009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4207885009,"updated_at":"2026-05-19T14:47:59-04:00","requisition_id":"7443","title":"Manager / Senior Manager, Human Resources","company_name":"Lila Sciences","first_published":"2026-04-06T14:29:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is looking for an HR Manager to join the HRBP team and serve as a reliable, day-to-day people partner to assigned managers and client groups. You will support the execution of people programs, help managers navigate employee relations and performance topics, and contribute to building a strong, consistent culture as the organization scales. This role is a strong foundation for growing into a broader strategic HR advisory capacity over time.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with assigned managers to provide hands-on HR guidance on talent management, employee relations, performance management, and team effectiveness\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coach managers on people leadership, navigating difficult conversations, and developing their teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive execution of core HR programs including performance review cycles, compensation planning, and engagement initiatives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify trends in people data and employee feedback to surface insights and flag areas requiring attention\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with HR, Legal, and Finance to ensure consistency and compliance across people processes\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5–7 years of progressive HR experience, with at least 2 years in an HRBP, HR generalist, or client-facing HR role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to build trusted relationships with managers and leaders across an organization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid knowledge of core HR disciplines including performance management and employment law fundamentals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience coaching managers through complex or sensitive people situations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort operating in a fast-paced, evolving environment where priorities shift quickly\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong judgment and discretion when handling confidential matters\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work 3 days per week onsite at our Cambridge, MA location\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting technical or scientific organizations, particularly in biotech, AI, or deeptech\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with HRIS and people tools such as HiBob, Udemy, Greenhouse, or similar platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in organizational development, change management, or culture-building initiatives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a startup or high-growth company where HR processes and infrastructure were still being built\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort using AI tools to improve and scale people processes and programs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$108,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$186,667 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4157130009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4096075009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4157130009,"updated_at":"2026-06-04T11:37:14-04:00","requisition_id":"7368","title":"Manager / Senior Manager, Multimedia ","company_name":"Lila Sciences","first_published":"2026-02-27T16:49:59-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a creative, technically fluent, and highly organized \u0026lt;strong\u0026gt;Multimedia Sr. Manager\u0026lt;/strong\u0026gt; to join our team. This in-house role is the go-to resource for multimedia content creation, production, and asset management across the organization — from corporate communications and scientific storytelling to supporting our broader content asset needs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is intentionally broad. At Lila, multimedia is infrastructure. You will produce content that helps the company communicate internally and externally, attract world-class talent, support business operations, advance commercial \u0026amp;amp; government relationships, and document scientific discovery in real time.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is building scientific superintelligence, and this person will be embedded in that environment. You should be genuinely comfortable engaging with scientists and engineers, quickly absorbing new concepts, and translating complex, frontier work into clear, compelling visuals and narrative content. A background in science, biology, AI, robotics, or software is a strong plus.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p style=\u0026quot;padding-left: 40px;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Multimedia production (core)\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Create and produce engaging multimedia content\u0026lt;/strong\u0026gt; — including videos, graphics, and animations — for a wide range of internal and external platforms and audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Capture and edit high-quality photographs\u0026lt;/strong\u0026gt; and video for promotional materials, internal communications, recruiting, events, and social content.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Manage end-to-end production from concept development to final delivery\u0026lt;/strong\u0026gt;, including coordination of timelines, reviews, and asset handoff \u0026amp;amp; management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay current with industry trends, emerging tools, and best practices in multimedia production — with particular attention to AI-powered tools that can accelerate or elevate the work.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p style=\u0026quot;padding-left: 40px;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scientific + technical communication\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with scientific, engineering, and product stakeholders to understand complex topics and translate them into accurate visual stories.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce content for both external-facing and internal audiences, such as:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Sales enablement and commercial materials (short videos, demo clips, slide visuals, one-pager graphics)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scientific and technical explainers (animations, diagrams, process visuals)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lab/team documentation that helps capture discoveries and workflows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p style=\u0026quot;padding-left: 40px;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Business unit and operational support\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as the multimedia resource for a broad set of internal clients, including Talent Acquisition (recruiting content, employer brand assets), Internal Communications (announcements, culture content), Facilities (signage, office experience content), Product (web content, demo videos), and Commercial/Sales (pitch materials, event assets).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build repeatable templates and lightweight production systems so high-frequency requests can be turned around quickly without sacrificing quality.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p style=\u0026quot;padding-left: 40px;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Collaboration \u0026amp;amp; visual storytelling\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Collaborate across functional partners who need content daily, balancing speed with quality and consistency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and execute visual storytelling strategies across platforms including Notion, Slack, Web, newsletters, and social channels.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p style=\u0026quot;padding-left: 40px;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Content asset management \u0026amp;amp; archiving\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Maintain an organized library of multimedia assets, including basic \u0026lt;strong\u0026gt;metadata/tagging, versioning, and archiving\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create lightweight norms/templates for naming conventions, file hygiene, and reuse so assets can be easily found and repurposed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred Skills:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in fast-paced work settings or digital marketing agency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with content strategy and storytelling in a startup or corporate environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI-powered production:\u0026lt;/strong\u0026gt; This role requires fluency with AI production tools — generative image, video, audio, motion, and editing workflows.The ability to move faster and produce more without sacrificing quality is a real expectation of this role, and AI is a big part of how that happens.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity or comfort with scientific/technical topics. Background in \u0026lt;strong\u0026gt;science, biology, AI/ML, robotics, or software\u0026lt;/strong\u0026gt; is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$108,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$186,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4118210009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4080295009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4118210009,"updated_at":"2026-05-20T14:09:47-04:00","requisition_id":"7323","title":"Manager / Senior Manager, Product Marketing, Life Science","company_name":"Lila Sciences","first_published":"2026-02-24T15:39:21-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a strategic Product Marketing Manager (Life Science) to own go-to-market for Lila’s life science product portfolio. You’ll translate complex, closed-loop AI and lab capabilities—such as mRNA design, DNA construct optimization, and AI-driven medicinal chemistry—into clear, credible stories and compelling commercial offerings for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Biopharma and advanced therapy companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;R\u0026amp;amp;D and CMC leaders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data science / AI teams and scientific IT\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;In collaboration with the Life Science Product team, you will shape RNA and DNA design technology tiles, hit-to-lead and lead optimization offerings, and early commercial pilots. Your work will define positioning, launch plans, and evidence strategies that move prospects from curiosity to committed programs. You’ll articulate value, build differentiated narratives, and enable cross-functional execution across product, sales, and customer success to accelerate adoption and drive measurable business impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Messaging \u0026amp;amp; Positioning\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and continuously refine product narratives for Lila’s life science capabilities (RNA/mRNA design, DNA constructs, protein and small molecule optimization, AISF-powered workflows).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Tailor messaging to specific personas (Heads of R\u0026amp;amp;D, Therapeutic Area leaders, CMC, translational and bioinformatics leads, Scientific IT) and use cases (hit-to-lead, mRNA design, in vivo CAR-T data stories).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure all external materials reflect Lila’s master narrative on scientific superintelligence, safety, and multi-domain learning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Go-To-Market Strategy \u0026amp;amp; Launch\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead end-to-end GTM for new life science capabilities: from beta/pilot framing through general availability and expansion.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product, Commercial, and BizOps to define offer constructs (pilot scopes, pricing guardrails, AISF access models) and map the customer journey from first meeting to signed programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align roadmap milestones (new RNA/DNA or medicinal chemistry capabilities, app workflows) with external launch moments, events, PR, and sales cycles.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Content \u0026amp;amp; Evidence Creation\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Produce technical and visionary content that makes capabilities tangible:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Use case briefs, technical one-pagers, solution guides\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Decks for customer pitches, partner discussions, and scientific meetings\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Blog posts, webinar scripts, demo narratives, and explainer videos in partnership with Brand/Creative\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with Life Science (LS) Product, science, and commercial teams to turn pilots and tech tiles into case studies showing real impact\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Education\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Life Sciences, Bioengineering, Data Science, or a related field. MS/PhD a plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Experience\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years in Product Marketing or closely related roles at a B2B SaaS, life sciences technology, or AI/ML company, ideally supporting discovery, translational, or CMC/R\u0026amp;amp;D teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Domain Expertise\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of the life science value chain (discovery → preclinical → early development; RNA/DNA/protein or small molecule workflows).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with lab automation, assay platforms, FAIR data principles, and AI/ML in drug discovery or therapeutics.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Technical Fluency\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Comfortable engaging with AI scientists, bench scientists, and engineering/IT stakeholders; able to translate closed-loop AI and AISF concepts into clear business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Communication \u0026amp;amp; Storytelling\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Exceptional writing and presentation skills, with a track record of content targeting scientific and technical audiences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Cross-Functional Collaboration\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven success partnering across Product, Sales/BD, and Marketing; able to influence without formal authority.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Startup Mindset\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Thrives in a fast-moving, highly cross-functional environment where both the product and category are evolving.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PHD is a plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$108,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$186,667 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4118224009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4080306009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4118224009,"updated_at":"2026-05-20T14:09:24-04:00","requisition_id":"7324","title":"Manager / Senior Manager, Product Marketing, Physical Science","company_name":"Lila Sciences","first_published":"2026-02-24T15:39:41-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Product Marketing Manager, Physical Sciences to lead go-to-market for Lila’s AI-driven materials and chemistry platform. You will operate at the convergence of:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Physical science domains: catalysts, sorbents, coatings, LNPs, quantum and extreme-environment materials\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Autonomous experimentation: flow chemistry ecosystems, high-throughput electrocatalysis, advanced characterization workcells\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI \u0026amp;amp; modeling: property prediction, design spaces, Bayesian optimization, LLM-augmented optimization\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Your mission is to translate this tech stack into clear narratives, compelling launches, and credible evidence that resonate with:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Industrial R\u0026amp;amp;D and technology leaders in energy, chemicals, and manufacturing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sustainability and advanced materials teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic partners, national labs, and federal programs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Go-To-Market Strategy \u0026amp;amp; Launch\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and execute GTM plans for new physical science capabilities (e.g., catalyst discovery campaigns, LNP property prediction, flow-reactor–based optimization, sorbents and coatings workflows), translating technical milestones into compelling market moments with clear offers, timelines, and success metrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate PS product milestones (new AISF demos, CLUE campaign results, partner-ready vignettes) into launch-ready packages, including positioning, messaging, collateral, and enablement assets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align launches with priority commercial motions in physical sciences (Accelerated By Lila, Lila Superscientists, joint development, and agentic science offerings) to maximize adoption and impact.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Messaging \u0026amp;amp; Positioning\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Craft crisp, value-based messaging that communicates how Lila’s platform accelerates:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Catalyst and materials discovery for green hydrogen and electrochemistry\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;LNP design and advanced materials development for transport and separations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coatings, sorbents, and quantum/extreme-environment materials discovery\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Tailor narratives for R\u0026amp;amp;D executives, technical experts, and corporate innovation/sustainability leaders, clearly differentiating Lila from traditional HTE vendors, point-solution AI tools, and CROs.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Content Creation\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Produce technical and visionary content, including:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Domain-focused one-pagers and solution briefs (electrocatalysis, LNPs, sorbents, coatings, quantum materials)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Case studies and vignettes that translate CLUE campaigns, flow cell workcells, and AISF demos into partner-ready slides and visuals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive decks for Chevron, Merck-style conversations, industry keynotes, and joint partner briefings\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Website and industry-page copy for physical sciences, in collaboration with Brand, CSO Materials, and PS leads\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Sales \u0026amp;amp; Field Enablement\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with Commercial and BD to deliver high-impact collateral for physical-science prospects:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Pitch decks and talk tracks linked to CLUE, flow chemistry, LNP, sorbents, and coatings capabilities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Competitive positioning and objection handling against AI-for-materials and automation players\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simple ROI/value frameworks (faster time to best-in-class catalysts, improved yields, fewer experiments, enhanced durability)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Capture learnings from customer and partner meetings (e.g., Chevron, energy majors, OEMs, national labs) and feed them back into messaging and product feedback loops\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Market Intelligence \u0026amp;amp; Insight\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Monitor competitive landscape and adjacencies in AI-driven materials discovery, HTE vendors, simulation platforms, and industrial R\u0026amp;amp;D digitization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Synthesize customer signals from commercial conversations, conferences (e.g., GTC, sustainability/energy events), and federal initiatives to inform PS product and business-model decisions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help prioritize PS storytelling priorities for 2026 (e.g., CLUE results and green hydrogen, LNPs and targeted delivery, extreme-environment coatings, quantum materials) to drive revenue and partnerships\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Evangelism \u0026amp;amp; Representation\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a visible advocate for Lila’s physical sciences work, supporting researchers in events, webinars, and joint partner sessions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with MarCom on PR and thought leadership that highlights CLUE, AISF for flow chemistry, electrocatalysis, carbon capture sorbents, and advanced materials achievements\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Education\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s or Master’s degree in Chemistry, Materials Science, Chemical Engineering, or a related field. PhD a plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Experience\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years in B2B SaaS or technical product marketing, ideally within lab informatics, scientific software, or AI/ML for physical sciences, energy, or advanced materials.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Technical Understanding\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong grasp of AI/ML applied to physical sciences (e.g., property prediction, generative models for materials, Bayesian optimization, simulation-driven design).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable discussing catalysis, sorbents, coatings, or related domains, even if you are not the domain PI.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Storytelling \u0026amp;amp; Communication\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to translate complex technical data and workflows into accessible, precise, and compelling narratives for scientists and business stakeholders; strong writing portfolio a plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Collaboration\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Track record of partnering with Product, R\u0026amp;amp;D, and Commercial teams; able to serve as a trusted thought partner to PS leaders and researchers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Execution \u0026amp;amp; Ownership\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong project management skills; capable of coordinating multiple GTM streams in parallel and delivering on deadlines tied to events, partner meetings, and internal milestones.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Startup Mindset\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Comfortable in a fast-moving, highly cross-functional environment where product, category, and business models are evolving.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$108,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$186,667 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4207843009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4121583009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4207843009,"updated_at":"2026-05-14T17:07:39-04:00","requisition_id":"7442","title":"Materials Technical Program Manager","company_name":"Lila Sciences","first_published":"2026-04-24T15:30:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is applying its autonomous science platform to some of the hardest materials discovery problems in the world — from next-generation structural materials and extreme-environment coatings to clean energy catalysts and carbon capture. The Materials Science experiment team is running programs where the pace of autonomous experimentation demands real operational rigor, and we\u0026#39;re looking for a Technical Program Manager to provide it. You\u0026#39;ll work closely with the Materials Science domain leads who set scientific strategy and direction, while you own the execution layer: the project plans, the cross-functional dependencies, and the blockers that need to be surfaced and resolved before they become problems. You won\u0026#39;t be directing scientific work — you\u0026#39;ll be creating the conditions for it to happen at speed and at scale. This is a role for someone who genuinely loves the craft of program management in complex, technical environments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own day-to-day program execution within the Materials Science experiment team — maintaining project plans, tracking milestones, and ensuring agentic science programs are delivered on time and with rigor\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the primary operational interface between the Materials Science team and platform partners (Automation, ML, Engineering) — communicating needs, aligning on priorities, and keeping dependencies visible and resolved\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate scientific program goals into structured workstreams that enable autonomous experimentation to run efficiently and at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run program rituals including sprint planning, stand-ups, and retrospectives with a bias toward purposeful meetings, documentation, and follow-through\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the Materials Science domain leads to surface blockers, risks, and interdependencies early and drive them to resolution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the delivery of commercial contracts by working with the Product \u0026amp;amp; Revenue team to ensure program commitments are well-scoped, tracked, and clearly communicated to all stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to capacity planning and resource coordination in partnership with scientific leadership\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of program or project management experience in a materials science, advanced manufacturing, or deep tech environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor\u0026#39;s degree in Materials Science, Chemistry, Chemical Engineering, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of managing multiple concurrent programs in fast-paced, ambiguous environments and energized by building programs from the ground up; early-stage start-up experience is a strong plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to coordinate across scientific and operational stakeholders and manage complex cross-functional dependencies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sufficient scientific fluency to understand Materials Science program goals and communicate them clearly to partner teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting commercial program delivery and working with external partners or customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional written and verbal communication skills — able to break complex goals into clear, achievable units of work and keep stakeholders consistently well-informed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with project management tools such as Smartsheet, Asana, Jira, or similar\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;PMP, PgMP, or agile certification (e.g., CSM, SAFe) is a plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$156,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$214,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4052832009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4035982009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4052832009,"updated_at":"2026-05-14T17:07:20-04:00","requisition_id":"7201","title":"ML Research Scientist I/II, Multimodal Data Extraction","company_name":"Lila Sciences","first_published":"2025-11-03T13:31:24-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a \u0026lt;span class=\u0026quot;notion-enable-hover\u0026quot; data-token-index=\u0026quot;1\u0026quot;\u0026gt;ML Research Scientist - Multimodal Data Extraction\u0026lt;/span\u0026gt;, you will advance Lila’s vision of scientific superintelligence by developing foundation models that autonomously read, interpret, and structure scientific knowledge across text, images, and experimental data in the physical sciences. Your research will help unify the world’s scientific information into machine-understandable form, powering reasoning, prediction, and autonomous discovery across materials science and chemistry.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Research and develop\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI systems\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that extract and structure knowledge from diverse scientific sources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and fine-tune\u0026amp;nbsp;\u0026lt;strong\u0026gt;large language, multi-modal and specialized models\u0026lt;/strong\u0026gt;\u0026amp;nbsp;for factual, interpretable data extraction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build scalable pipelines for\u0026amp;nbsp;\u0026lt;strong\u0026gt;unstructured and heterogeneous scientific data\u0026lt;/strong\u0026gt;, integrating text, tables, and visuals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with domain experts to align extracted data with real-world discovery workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Publish research that advances the state of the art in multimodal understanding and AI-driven knowledge extraction.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD (or equivalent research experience) in Computer Science, Chemistry, Materials Science, or related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in\u0026amp;nbsp;\u0026lt;strong\u0026gt;machine learning\u0026lt;/strong\u0026gt;,\u0026amp;nbsp;\u0026lt;strong\u0026gt;NLP\u0026lt;/strong\u0026gt;, and\u0026amp;nbsp;\u0026lt;strong\u0026gt;vision–language modeling\u0026lt;/strong\u0026gt;\u0026amp;nbsp;using\u0026amp;nbsp;\u0026lt;strong\u0026gt;PyTorch\u0026lt;/strong\u0026gt;\u0026amp;nbsp;and\u0026amp;nbsp;\u0026lt;strong\u0026gt;Hugging Face Transformers\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to train, fine-tune, and evaluate\u0026amp;nbsp;\u0026lt;strong\u0026gt;LLMs and multimodal models\u0026lt;/strong\u0026gt;\u0026amp;nbsp;for scientific data extraction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of data structures and representations used in the physical sciences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated research impact through publications, preprints, or open-source work (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, Scientific Journals).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with\u0026amp;nbsp;\u0026lt;strong\u0026gt;multimodal fusion architectures\u0026lt;/strong\u0026gt;\u0026amp;nbsp;and document-level understanding.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of\u0026amp;nbsp;\u0026lt;strong\u0026gt;scientific document parsing\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(OCR, table extraction, figure-caption linking).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with\u0026amp;nbsp;\u0026lt;strong\u0026gt;knowledge graph construction\u0026lt;/strong\u0026gt;\u0026amp;nbsp;or reasoning systems for science.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with noisy or heterogeneous real-world scientific data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborative mindset and passion for advancing AI in the physical sciences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$176,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$304,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013388009,"name":"Physical Sciences AI","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4222051009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4129790009,"location":{"name":"San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4222051009,"updated_at":"2026-05-14T17:07:42-04:00","requisition_id":"7468","title":"ML Scientist I / II, Foundation Models for Life Sciences","company_name":"Lila Sciences","first_published":"2026-04-28T06:54:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at Lila\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), the Foundation Models team researches and develops large-scale generative models and reasoning frameworks that power automated scientific discovery across Lila\u0026#39;s life science domains.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Scientist I or II to join this team as a contributor to foundation model research at the intersection of machine learning and life science data. You will work on generative models spanning biological sequences, molecular structures, and multimodal experimental data, contributing to problem formulation, model design, training, evaluation, and integration into Lila\u0026#39;s closed-loop discovery engine.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an IC role for someone building deep expertise in generative AI applied to biology. You will own research sub-problems end to end, collaborate closely with experimental scientists to close the computational-experimental loop, and contribute to Lila\u0026#39;s presence in the broader scientific community.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Contribute to research on foundation models for life science applications, including biological sequence design, structure prediction, and multimodal scientific reasoning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design, train, and evaluate generative models on biological and chemical data, incorporating domain-specific constraints and priors\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be part of the end-to-end ML process within Lila\u0026#39;s \u0026quot;Lab-in-the-Loop\u0026quot; lifecycle: support data generation strategy, build pipeline models, and help design feedback loops where experimental results improve model performance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate biological questions into well-defined ML problems and interpret model outputs in collaboration with wet-lab scientists and computational biologists\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support research quality and methodology standards within the foundation models program\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in Computer Science, Machine Learning, Computational Biology, or a related quantitative field (or Master\u0026#39;s with equivalent research experience)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in generative model architectures and training, with hands-on experience in model development and evaluation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to formulate and execute research independently, from problem definition through experimentation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with at least one life science domain (molecular biology, genomics, protein engineering, nucleic acid design, or related)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with experimental scientists or working with biological/chemical data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in ML frameworks (PyTorch, JAX, or TensorFlow) and experience with GPU-based training workflows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in computational protein design or molecular structure prediction\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with active learning loops or closed-loop experimental workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source ML tools, frameworks, or benchmark datasets for scientific applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with distributed training infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High-impact publications or open‑source contributions in AI for Science in relevant venues (NeurIPS, ICML, ICLR, AAAAI, Nature Methods, Nature Biotechnology, or equivalent)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$176,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$304,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4011901009,"name":"AI","child_ids":[],"parent_id":null}],"offices":[{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4088253009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4058833009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4088253009,"updated_at":"2026-05-14T17:07:24-04:00","requisition_id":"7262","title":"Platform Scientist, Soft Materials ","company_name":"Lila Sciences","first_published":"2025-12-23T09:21:35-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is seeking \u0026lt;span class=\u0026quot;notion-enable-hover\u0026quot; data-token-index=\u0026quot;1\u0026quot;\u0026gt;Platform Scientists, Soft Materials Focus\u0026lt;/span\u0026gt; to ideate, prototype, and transfer new experimental concepts for AI Science Factories targeting complex and soft material systems. In this role, you will work at the forefront of scientific ideation—partnering with a broad range of chemistry, materials, and AI teams to define new approaches to formulation, structure–property relationships, and performance evaluation. You will translate these concepts into scalable experimental workflows, custom apparatus, and software-enabled systems for autonomous research.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with diverse scientific teams to ideate new experimental strategies for soft and complex materials, including formulations, colloids, polymers, gels, and biological or hybrid systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead conceptual development of characterization and performance workflows leveraging techniques such as SAXS, SANS, rheology, and formulation performance assays\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design, prototype, and validate custom apparatus, experimental methods, and software tools to realize these concepts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and refine workflows that connect structure, dynamics, and performance across multiple length and time scales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transfer successful prototypes into production-ready systems within Lila’s AI Science Factory platform, enabling autonomous experimentation\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;MS or PhD in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field, with a focus on soft or complex materials\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience collaborating across scientific disciplines to generate and refine experimental concepts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with one or more of the following: SAXS, SANS, rheology, formulation performance or functional assays\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and implementing custom experimental workflows and/or scientific software\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills (e.g., Python, C++, or similar) applied to data analysis, automation, or experiment control\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills and comfort operating in a fast-paced, exploratory R\u0026amp;amp;D environment\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with lab automation, high-throughput experimentation, or instrument control software\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in formulation science (e.g., consumer products, coatings, energy materials, bio-soft matter)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience linking scattering, rheological, and performance data to predictive or ML-driven models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with prototyping tools such as 3D printing, machining, microfluidics, or custom sample environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Industry or national lab experience working on soft materials or complex fluids\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$108,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$150,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4210497009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4123471009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4210497009,"updated_at":"2026-05-14T17:07:40-04:00","requisition_id":"7452","title":"Principal Engineer, AI Security","company_name":"Lila Sciences","first_published":"2026-04-16T12:38:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Principal Security Engineer focused on AI Security, you will define and drive the technical strategy for securing how AI is used across Lila\u0026#39;s enterprise. You will operate as a senior individual contributor, partnering with IT and business teams to ensure safe and compliant adoption of AI tools and platforms.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While Lila builds AI-powered systems, this role is primarily focused on securing the use of third-party and internally deployed AI tools across the enterprise — ensuring sensitive data, intellectual property, and scientific workflows are protected as AI becomes deeply embedded in how work gets done.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enterprise AI Security Strategy\u0026lt;/strong\u0026gt; — Define and implement security controls and guardrails for the use of AI tools (e.g., LLM APIs, SaaS AI platforms, and internal AI services) across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI Gateway \u0026amp;amp; Agentic Gateway Security\u0026lt;/strong\u0026gt; — Design and implement AI gateway controls to manage and monitor access to external and internal AI systems. Secure agentic workflows by enforcing identity, authorization, tool-use constraints, and policy controls for autonomous or semi-autonomous agents.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI Red Teaming \u0026amp;amp; Adversarial Testing\u0026lt;/strong\u0026gt; — Conduct red teaming and adversarial testing focused on enterprise AI usage, including prompt injection, data exfiltration, jailbreaks, and abuse of connected tools and plugins.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data Protection for AI Usage\u0026lt;/strong\u0026gt; — Develop and enforce controls to prevent sensitive data leakage through AI systems, including input/output filtering, data classification, tokenization, and secure handling of prompts, embeddings, and outputs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Multi-Layer AI Security (Network, Endpoint, Data)\u0026lt;/strong\u0026gt; — Integrate AI security into existing enterprise security layers: network visibility and control over AI service access, API traffic inspection, and zero trust enforcement; endpoint security for developer machines, research environments, browsers, and plugins; data layer controls ensuring proper handling of sensitive data when interacting with AI systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI Threat Modeling (Enterprise Context)\u0026lt;/strong\u0026gt; — Develop threat models focused on enterprise AI usage, including risks such as data leakage, prompt injection, model misuse, supply chain risks from AI vendors, and unauthorized agent actions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Vendor \u0026amp;amp; Platform Security\u0026lt;/strong\u0026gt; — Assess and guide secure adoption of third-party AI vendors and platforms, including evaluating data handling practices, model behavior, and integration risks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Incident Response for AI Usage\u0026lt;/strong\u0026gt; — Define and support response approaches for AI-related incidents, such as sensitive data exposure, policy violations, or misuse of AI tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Technical Leadership\u0026lt;/strong\u0026gt; — Partner with Legal, Compliance, IT, and Engineering to align AI usage with regulatory requirements, data governance policies, and responsible AI practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Security Enablement\u0026lt;/strong\u0026gt; — Contribute to internal guidance and education on safe AI usage, including secure prompting, data handling, and appropriate use of AI tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Security Tooling \u0026amp;amp; Implementation\u0026lt;/strong\u0026gt; — Evaluate and implement tooling for AI security, including AI gateways, DLP integrations, monitoring solutions, and policy enforcement mechanisms.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience in information security, with strong expertise in enterprise, cloud, or application security.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience designing and implementing security controls in enterprise environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI/ML systems and how modern AI tools (LLMs, copilots, APIs) are used in practice.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud platforms (AWS/GCP), SaaS security, and zero trust architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with data protection technologies (e.g., DLP, data classification, access controls).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Practical experience with threat modeling, red teaming, or adversarial testing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication and influence skills across technical and non-technical stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience securing enterprise use of LLMs, copilots, or generative AI platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI gateways, prompt filtering, or model interaction controls.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience evaluating or securing third-party AI vendors and APIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in regulated environments (biotech, healthcare, defense, or government).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with browser security, endpoint controls, or SaaS security platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of privacy-enhancing technologies or confidential computing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to AI/ML security research or community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$171,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$230,534 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4222224009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4129883009,"location":{"name":"San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4222224009,"updated_at":"2026-05-14T17:07:42-04:00","requisition_id":"7471","title":"Principal, Machine Learning Engineer","company_name":"Lila Sciences","first_published":"2026-04-28T06:54:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), ML engineers build and operate the systems that turn generative models and reasoning frameworks into production capabilities powering automated scientific discovery across Lila\u0026#39;s life science domains.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Principal ML Engineer to design, build, and scale the ML infrastructure behind models spanning biological sequence design, molecular structure prediction, antibody engineering, and multimodal scientific reasoning. You will own critical systems end to end, from training pipelines and distributed compute to model deployment and integration into Lila\u0026#39;s closed-loop discovery engine.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-impact IC role for someone who operates at the intersection of ML systems engineering and life science applications. You will shape the technical direction for how ML models are trained, evaluated, and deployed at scale, collaborate closely with AI scientists and experimental researchers to close the computational-experimental loop, and drive Lila\u0026#39;s ML infrastructure toward the next generation of capabilities.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, build, and optimize large-scale training pipelines for generative models on biological and chemical data, including distributed training across GPU clusters\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own production ML systems end to end: model deployment, serving infrastructure, monitoring, and reliability for models used in Lila\u0026#39;s scientific workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect ML infrastructure that supports rapid iteration across sequence design, structure prediction, and multimodal scientific reasoning workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive the engineering side of Lila\u0026#39;s \u0026quot;Lab-in-the-Loop\u0026quot; lifecycle: build pipeline models, integrate experimental feedback loops, and ensure model outputs are actionable for downstream scientific workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and advance ML engineering standards, tooling, and best practices across the AI organization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with AI scientists to translate research prototypes into robust, scalable production systems, bridging the research-to-deployment gap\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Master\u0026#39;s degree or higher in Computer Science, Machine Learning, or a related quantitative field (or Bachelor\u0026#39;s with equivalent professional experience)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of hands-on experience building and operating production ML systems at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in distributed training infrastructure, including experience with large-scale GPU clusters (AWS, GCP, or on-prem)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong software engineering fundamentals: system design, production-grade code, CI/CD, observability, and reliability practices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in ML frameworks (PyTorch, JAX, or TensorFlow) with experience optimizing training and inference performance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to drive technical direction for ML infrastructure independently, from architecture through implementation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of cross-functional collaboration with research scientists, translating between ML methodology and engineering execution\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building training or inference infrastructure for generative models applied to biological sequences, molecular structures, or scientific data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with agentic frameworks, active learning loops, or closed-loop experimental workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source ML tools, frameworks, or infrastructure projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with at least one life science domain (molecular biology, genomics, protein engineering, or nucleic acid design)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with model evaluation frameworks for scientific applications where ground truth is sparse or delayed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$252,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4011901009,"name":"AI","child_ids":[],"parent_id":null}],"offices":[{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4248820009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145407009,"location":{"name":"San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4248820009,"updated_at":"2026-05-15T13:23:52-04:00","requisition_id":"8514","title":"Principal ML Research Engineer","company_name":"Lila Sciences","first_published":"2026-05-15T13:23:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is building a platform where AI and automation co-evolve to solve the hardest problems in science. Within Life Science AI (LSAI), we are launching a new \u0026lt;strong\u0026gt;AI for Cell Biology\u0026lt;/strong\u0026gt; team to develop autonomous-science capabilities for cellular and tissue biology, spanning single-cell omics, perturbation biology, spatial profiling, imaging, genetics, and multi-modal experimental data; that integrate deep biological expertise with foundation modeling and agentic systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a \u0026lt;strong\u0026gt;Principal ML Research Engineer\u0026lt;/strong\u0026gt; to be the \u0026lt;strong\u0026gt;founding engineering leader on this team\u0026lt;/strong\u0026gt;. This is a 0→1 hands-on role. You will \u0026lt;strong\u0026gt;build and operate the engineering platform\u0026lt;/strong\u0026gt;: domain data, domain-specific models, shared specialist-model serving and inference, agentic infrastructure, and the evaluation harness that the team\u0026#39;s research programs run on, and that integrates cell-biology research with Lila\u0026#39;s central autonomous-science platform: it\u0026#39;s core-model, agentic-systems, and experimental-automation infrastructure that closes the loop between AI reasoning and the lab. You will work closely with \u0026lt;strong\u0026gt;Lila\u0026#39;s central AI Platform, Data Platform, and autonomous-lab engineering teams to leverage and extend core Lila infrastructure rather than rebuild it\u0026lt;/strong\u0026gt;, and you will \u0026lt;strong\u0026gt;co-develop the technical direction of the team with the VP of AI for Cell Biology and its ML Scientists\u0026lt;/strong\u0026gt; as you build.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Cell- and tissue-scale biology sits at an open frontier of AI for science. The field has produced strong specialist models across sub-domains: single-cell foundation models, molecular structural prediction, perturbation response, cellular imaging, pathway and ligand–receptor inference — but the engineering platform that makes these models reliably composable, the domain data that grounds them, and the evaluation that connects their outputs to autonomous experimentation are still being defined. We have a working point of view on what that platform looks like: domain-specific data curation and accessibility; fine-tuning and (where warranted) training of domain-specific models on cell- and tissue-resolution data; shared specialist-model serving; a unified reasoning-trace and tool-call schema; evaluation-harness instrumentation; and the agentic infrastructure for rollout generation, tool orchestration, and rubric grading that the team\u0026#39;s research programs share — and \u0026lt;strong\u0026gt;you will refine, challenge, or replace it.\u0026lt;/strong\u0026gt; The platform choices you make will shape what Lab-in-the-Loop autonomous science looks like at cell and tissue scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a senior IC role for someone who wants to build, with the engineering depth to ship the infrastructure that makes cell-biology research programs thrive and the judgment to co-author tech stack strategy with the team scientific leads as the platform takes shape.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build and operate the domain data platform.\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Stand up the curation, accessibility, lineage, schema, and versioning infrastructure for the multi-modal scientific data the team\u0026#39;s research programs depend on: single-cell, multi-omics, spatial, imaging, perturbation, and genetics. Make complex domain data discoverable and queryable for ML scientists and computational biologists. Steward the reasoning-trace and tool-call schema that lets domain data and downstream traces outlive any single program.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build and operate the shared specialist-model serving and fine-tuning stack.\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Serve the field\u0026#39;s strongest specialist biology models: single-cell foundation models, structural prediction, perturbation, spatial, imaging, pathway and ligand–receptor models, as composable, versioned tools the team\u0026#39;s research programs share. Build the infrastructure to fine-tune these specialists on cell- and tissue-resolution data, and (where warranted by evaluation evidence) to train new domain-specific models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build and operate the shared agentic infrastructure.\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Stand up the rollout-generation, tool-orchestration, rubric-grading, and trace-QC agents that the team\u0026#39;s research programs share. Set the standards by which agentic workflows are reproducible, observable, evaluable, and safe to scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build and operate the cross-program evaluation harness.\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Build the instrumentation that gauges progress across the team\u0026#39;s research programs and that connects team-internal metrics to Lila\u0026#39;s broader scientific evaluation suite. Benchmarks instrumented here outlive any single program and become part of Lila\u0026#39;s standing scientific evaluation suite.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leverage and extend Lila\u0026#39;s central AI Platform and Data Platform.\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Partner with Lila\u0026#39;s central AI Platform, Data Platform, and autonomous-lab engineering teams to extend core Lila infrastructure for cell-biology-specific needs rather than rebuild it. Architect how cell-biology research feeds into and benefits from Lila\u0026#39;s foundation-model, agentic-systems, and experimental-automation infrastructure, and how cell-biology research outputs flow back into Lila\u0026#39;s broader autonomous-science capability. Push improvements back into the central platforms where the team\u0026#39;s work generalizes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Co-develop the technical platform direction.\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Partner with the team scientific leads to shape the engineering architecture end-to-end: domain data, specialist-model serving, agentic infrastructure, evaluation, and integration into Lila\u0026#39;s Lab-in-the-Loop autonomous-science lifecycle. This is shared authorship of platform strategy alongside hands-on building, not in place of it.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Set engineering standards and grow the engineering bench.\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Set the team\u0026#39;s engineering culture — code quality, reproducibility, deployment hygiene, observability, MLOps practice — and mentor research engineers across the team\u0026#39;s research programs and applications horizontal. Externally, represent Lila\u0026#39;s AI for Cell Biology platform engineering through open-source contributions, conference participation, and recruiting top-of-funnel.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Education and experience.\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Advanced degree (MS or PhD) in Computer Science, Machine Learning, Engineering, or a related quantitative field, or equivalent industry track record, with 8+ years of ML platform, infrastructure, or research-engineering experience and a record of shipping and operating production ML systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hands-on ML platform building.\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Deep, hands-on experience building and operating ML platforms: model serving, fine-tuning and training pipelines, agentic orchestration, evaluation harnesses, data pipelines, that research teams build on. Comfortable both prototyping new infrastructure for the team and operating it at research scale, with central platform teams as the path to long-lived production services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Domain data engineering depth.\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Hands-on experience designing, operating, and\u0026amp;nbsp;\u0026lt;em\u0026gt;making accessible\u0026lt;/em\u0026gt;\u0026amp;nbsp;data pipelines and data infrastructure for high-dimensional multi-modal scientific data at scale: single-cell, spatial, imaging, multi-omics, genetics, or comparable scientific imaging/sequencing modalities. Comfortable owning curation, lineage, schema, and discoverability for research teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Specialist-model serving, fine-tuning, and integration.\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Hands-on experience serving heterogeneous specialist models (different frameworks, hardware profiles, inference patterns) as composable tools and fine-tuning or adapting them on domain-specific data. Comfort integrating multiple specialist models into end-to-end reasoning systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Agentic and autonomous-science systems experience.\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Demonstrated work on agentic, active-learning, or closed-loop systems — particularly those that orchestrate scientific tools, plan or execute experiments, or reason over scientific processes, and ideally those coupled to automated or autonomous laboratory infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Modern ML systems tooling.\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Strong fluency in PyTorch (or JAX/TensorFlow); large-scale data loading; inference-time optimization; interactive scientific workflows; modern observability and deployment practice. Strong software engineering fundamentals: Python, containers, Kubernetes, CI/CD, infrastructure-as-code.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-functional collaboration.\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Strong track record of collaboration across ML scientists, computational biologists, experimental scientists, and central AI/ML, data, and platform-engineering teams. Bilingual translation between platform engineering and cell biology is a daily activity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience composing specialist biology models (e.g., single-cell foundation models, structural prediction models, perturbation models, spatial/imaging models, pathway and ligand–receptor models) into multi-step reasoning systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience standing up shared model-serving stacks for heterogeneous specialist models with different frameworks, hardware profiles, and inference patterns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building, fine-tuning, or contributing to domain-specific foundation models in biology, chemistry, or scientific imaging — useful where off-the-shelf specialists aren\u0026#39;t good enough on cell- and tissue-resolution data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing data accessibility, discoverability, and lineage tooling for complex scientific datasets shared across multiple research programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience operating against or contributing to shared central platform-engineering teams inside a large AI/ML organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with closed-loop or Lab-in-the-Loop workflows where computational predictions drive experimental decisions and experimental results feed back to retrain or retune models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building or operating reasoning-trace, rubric-grading, or evaluation pipelines for agentic systems at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with large-scale distributed training infrastructure (cloud or on-prem clusters) — useful but not required, since this role primarily consumes rather than operates such infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Open-source contributions to ML platform tooling, scientific computing frameworks, or biological modeling libraries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience as a founding engineer or technical lead on a new team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4011901009,"name":"AI","child_ids":[],"parent_id":null}],"offices":[{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4121314009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4082326009,"location":{"name":"San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4121314009,"updated_at":"2026-05-14T17:07:30-04:00","requisition_id":"7329","title":"Principal / Senior Principal, Security Architect","company_name":"Lila Sciences","first_published":"2026-02-11T15:48:32-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;notion-selectable notion-text-block\u0026quot; data-block-id=\u0026quot;3001a62c-8a83-80cd-baff-ece5b87ca92a\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;:rdk:\u0026quot; class=\u0026quot;content-editable-leaf-rtl notranslate\u0026quot; data-content-editable-leaf=\u0026quot;true\u0026quot;\u0026gt;We’re looking for a Principal Security Architect to lead the security architecture for cloud applications operating at FedRAMP IL5 and IL6, while also shaping enterprise-wide security architecture and engineering.\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;notion-selectable notion-text-block\u0026quot; data-block-id=\u0026quot;3001a62c-8a83-80f9-a5d3-d6b56a94fc56\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;notion-selectable notion-text-block\u0026quot; data-block-id=\u0026quot;3001a62c-8a83-80dc-8cf4-c510e68801e1\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div id=\u0026quot;:rdm:\u0026quot; class=\u0026quot;content-editable-leaf-rtl notranslate\u0026quot; data-content-editable-leaf=\u0026quot;true\u0026quot;\u0026gt;This is a hands-on leadership role—your work will directly enable secure product delivery at speed. You’ll lead the design, implementation, and authorization of FedRAMP IL5/IL6 systems, then scale that success by building reusable security platforms, patterns, and practices across the organization.\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;notion-selectable notion-text-block\u0026quot; data-block-id=\u0026quot;3001a62c-8a83-8047-b0a6-f8345b110c33\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;notion-selectable notion-text-block\u0026quot; data-block-id=\u0026quot;3001a62c-8a83-80e0-9e2b-cdf60ba8c51e\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div id=\u0026quot;:rdo:\u0026quot; class=\u0026quot;content-editable-leaf-rtl notranslate\u0026quot; data-content-editable-leaf=\u0026quot;true\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;You will define and deliver secure cloud architectures that meet the highest federal standards while staying practical and engineer friendly. Your designs will become the foundation for multiple systems and scale across teams and environments.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;FedRAMP IL5 / IL6 security architectures co-owned with Application Architects and applied across multiple systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deployable security designs grounded in NIST 800-53 Rev. 5, DoD Cloud SRG (IL5/IL6), and FedRAMP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Core security building blocks, including:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Identity, credential, and access management (ICAM)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Network segmentation, trust boundaries, and secure data flows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Encryption, key management, and secrets handling\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Zero Trust architecture (NIST 800-207) implemented in production—not just documented\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable security platforms and patterns, including:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;IAM and access control\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Secrets management and key lifecycle\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Logging, monitoring, and detection\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Secure CI/CD and Infrastructure as Code\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enterprise reference architectures supporting both FedRAMP and non-FedRAMP systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Compliance-aware designs that minimize authorization scope through control inheritance, reuse, and standardization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automated compliance evidence pipelines that reduce manual effort and improve audit readiness\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Security-by-design integrations embedded into product engineering and cloud infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architectural support for resilience and response, including threat modeling, risk assessment, incident response, and forensic readiness\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;What Success Looks Like\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Security controls are designed once and reused across applications and platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Compliance evidence is automated, repeatable, and scalable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engineering teams adopt security patterns naturally, without friction\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Security architecture accelerates delivery instead of slowing it down\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;This role is for someone who wants to build durable, reusable security architecture that scales beyond one system—and enables high-assurance cloud delivery at speed. This is not a policy-only or governance-only position.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You bring deep, hands-on experience designing and delivering secure cloud systems in highly regulated environments. You’re comfortable translating complex requirements into scalable architecture and guiding teams through delivery.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in cybersecurity, security architecture, or security engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven, hands-on delivery of FedRAMP IL5 and/or IL6 systems, from design through authorization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong working knowledge of:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;NIST 800-53 Rev. 5\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;DoD Cloud Computing SRG (IL5/IL6)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;FedRAMP authorization and ATO processes\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cloud security architecture experience in AWS GovCloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience securing cloud-native platforms, including:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Container orchestration (EKS, AKS, OpenShift)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;CI/CD pipelines and Infrastructure as Code\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to explain control intent and risk tradeoffs, not just map requirements to controls\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$310,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4250071009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4146185009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4250071009,"updated_at":"2026-05-29T15:39:54-04:00","requisition_id":"7511","title":"Principal Software Engineer, Data","company_name":"Lila Sciences","first_published":"2026-05-29T15:39:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in shaping the future of science! We are seeking \u0026lt;strong\u0026gt;Principal Software Engineers with backend experience\u0026lt;/strong\u0026gt; to join our Data Platform Team (Data), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About The Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Data Platform Team (Data) builds and support the data systems that underpins Lila\u0026#39;s AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design \u0026amp;amp; Build APIs:\u0026lt;/strong\u0026gt; Design and build high-performance, secure, and well-documented APIs that integrate with AI-driven applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Database Architecture \u0026amp;amp; Scaling:\u0026lt;/strong\u0026gt; Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance \u0026amp;amp; Reliability:\u0026lt;/strong\u0026gt; Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; Infrastructure:\u0026lt;/strong\u0026gt; Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Collaboration:\u0026lt;/strong\u0026gt; Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need To Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bachelor’s or Master’s degree\u0026lt;/strong\u0026gt; in Computer Science, Engineering, or related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;8-15 years of engineering experience\u0026lt;/strong\u0026gt; building and deploying large-scale systems in production. You must be strong in scalable backend system design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Full Stack Development\u0026lt;/strong\u0026gt;: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience with ORMs:\u0026lt;/strong\u0026gt; Experience with and web services for CRUD services (SQL Alchemy, SQLModel, FastAPI, Django).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestration Systems:\u0026lt;/strong\u0026gt; Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Familiarity with Python for Science\u0026lt;/strong\u0026gt;: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands on experience using AI coding assistants to drive productivity is required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication \u0026amp;amp; Collaboration\u0026lt;/strong\u0026gt;: Acute listening and writing skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Problem Solving\u0026lt;/strong\u0026gt;: Proven ability to design complex backend solutions, balancing trade-offs between scalability, performance, and maintainability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; DevOps Knowledge:\u0026lt;/strong\u0026gt; Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Domain Background:\u0026lt;/strong\u0026gt; Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with laboratory devices, robotics, or hardware\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$348,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null},{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4186530009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4108186009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4186530009,"updated_at":"2026-05-14T17:07:37-04:00","requisition_id":"7412","title":"Principal Software Engineer, Instrument Simulations","company_name":"Lila Sciences","first_published":"2026-03-20T16:48:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is seeking a\u0026amp;nbsp;\u0026lt;span class=\u0026quot;notion-enable-hover\u0026quot; data-token-index=\u0026quot;1\u0026quot;\u0026gt;Principal Software Engineer, Instrument Simulations\u0026lt;/span\u0026gt;\u0026amp;nbsp;to architect and lead the development of our next-generation laboratory\u0026amp;nbsp;automation platform. In this role, you\u0026#39;ll be responsible\u0026amp;nbsp;for designing the simulation infrastructure and integration layer that connects\u0026amp;nbsp;AI-driven experimental design with physical robotic systems, enabling closed-loop scientific discovery at unprecedented scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect and implement high-fidelity simulation environments that model complex laboratory instrumentation, fluidics, and robotic workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design robust integration patterns between heterogeneous hardware\u0026amp;nbsp;systems, ensuring reliable and safe execution of fully automated experiments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the development of APIs\u0026amp;nbsp;and interfaces that enable scientists\u0026amp;nbsp;and AI agents to seamlessly interact with sophisticated automation infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain and help establish best practices for hardware-software integration, system monitoring, and CI/CD in laboratory automation contexts for all newly developed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor engineers, likely leading a small agile team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field: Background that supports technical and leadership capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of software development experience, including 5+ years in a leadership role: Demonstrates ability to lead and manage complex projects and engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in architecting and directing large-scale software projects: Skilled in designing and leading the development of scalable, reliable, and maintainable systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency in programming languages such as C++, Python, or Java: Capable of setting technical standards and guiding development practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong record of implementing and advocating for engineering best practices such as code reviews, testing, and continuous integration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in leading diverse engineering teams with a focus on collaboration, innovation, and efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent strategic thinking skills, with the ability to understand and align team efforts with organizational goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to mentor and develop engineering talent, fostering an environment of growth and continuous learning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Outstanding communication and interpersonal skills: Effectively engage with stakeholders at all levels, from developers to senior executives.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ph.D. in Computer Science, Engineering, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in leading the development of laboratory automation systems or scientific instrumentation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with organizational change management and fostering innovation in large technical programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of successful project delivery in agile environments, optimizing team workflows and balancing priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Published work or presentations that highlight contributions to the field of software engineering and leadership in simulation or automation systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$270,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4249163009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145618009,"location":{"name":"San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4249163009,"updated_at":"2026-05-21T12:46:13-04:00","requisition_id":"8515","title":"Principal / Sr. Principal BioML Scientist","company_name":"Lila Sciences","first_published":"2026-05-21T12:46:13-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Sciences AI (LSAI), we are standing up a new \u0026lt;strong\u0026gt;AI for Cell Biology\u0026lt;/strong\u0026gt; team to develop autonomous-science capabilities for cellular and tissue biology, spanning single-cell omics, perturbation biology, spatial profiling, imaging, genetics, and multi-modal experimental data.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a \u0026lt;strong\u0026gt;Principal or Sr. Principal BioML Scientist\u0026lt;/strong\u0026gt; to be a \u0026lt;strong\u0026gt;co-architect of how Lila\u0026#39;s autonomous-science platform changes cell biology\u0026lt;/strong\u0026gt; and to own the \u0026lt;strong\u0026gt;applied and translational BioML charter\u0026lt;/strong\u0026gt; that turns those platform capabilities into real-world therapeutic impact. The team\u0026#39;s ML lead owns core model strategy and inference architecture; the Engineering lead owns platform infrastructure; this role adds the applied scientific perspective into platform shape: deciding what closed loops are worth running, what kinds of scientific questions become tractable when AI and lab automation co-evolve, and what evidence standard turns a model output into an experimental decision. The platform isn\u0026#39;t something this role \u0026lt;em\u0026gt;consumes\u0026lt;/em\u0026gt;; it\u0026#39;s something this role \u0026lt;em\u0026gt;helps build\u0026lt;/em\u0026gt;, from the applied science side. This role grows and leads the team\u0026#39;s \u0026lt;strong\u0026gt;applied science footprint\u0026lt;/strong\u0026gt;: a group of domain-embedded scientists working across disease areas and therapeutic modalities (cell therapy, nucleic-acid delivery, small molecule). \u0026lt;strong\u0026gt;The initial applied focus is target identification\u0026lt;/strong\u0026gt; as the entry point into cell-biology-grounded therapeutic discovery, with the scope broadening over time as the team and the platform mature.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a senior individual contributor role today and a team-leadership role within twelve months. We are deliberately lean to start, so the first months involve hands-on execution — using the team\u0026#39;s AI platform to deliver real computational biology that downstream therapeutic teams and external partners consume. That hands-on phase is short-lived by design: the right candidate brings the scientific judgment to set the bar, the recruiting instincts to attract strong scientists into the embedded roles, and the leadership track record to grow them once they land. Alongside this charter, the role contributes to the team\u0026#39;s benchmarking framework with research and engineering leads, mentors research pod leads, and serves as scientific liaison into product and partnership scoping.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Grow and lead the applied science footprint\u0026lt;/strong\u0026gt;, anchoring a team of domain-embedded scientists across disease areas and therapeutic modalities; recruit, mentor, and develop those scientists as the team scales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Co-architect the AI-for-Cell-Biology platform\u0026#39;s scientific direction\u0026lt;/strong\u0026gt;, partnering with the AI/ML Science and Engineering leads to shape how AI, lab automation, and closed-loop experimentation together change how cell biology is done — what closed loops to run, what cycle times and evidence thresholds matter, what kinds of scientific questions become tractable that weren\u0026#39;t before.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own the applied and translational BioML charter\u0026lt;/strong\u0026gt;, translating foundational AI-for-cell-biology research into platform-deployable tools and partnership-grade capability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Anchor an initial applied program in target identification and evaluation in support of next-generation therapeutic discovery\u0026lt;/strong\u0026gt; as the entry point, broadening the applied scope over time across disease areas and therapeutic modalities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Pioneer applied use of the platform\u0026lt;/strong\u0026gt;, being among the first to use Lila\u0026#39;s autonomous-science capabilities to do cell biology in new ways: running closed-loop experiments, composing AI and lab-automation in ways no one has tried yet, and generating both scientific results and the product-shaping feedback that tells the platform team what to build next. While the team is lean, this is also where the technical bar gets set for incoming scientists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mentor research pod leads\u0026lt;/strong\u0026gt; and set operating norms for the pod-lead cohort, growing scientific judgment and execution standards across pods.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Shape the team\u0026#39;s evaluation framework and scientific bar\u0026lt;/strong\u0026gt; alongside research and engineering leads by owning what makes a benchmark biologically meaningful, what evidence threshold turns a model output into an experimental decision, and what counts as the platform delivering real new science rather than just well-scored predictions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Serve as scientific liaison to product and partnership functions\u0026lt;/strong\u0026gt;, bringing technical-feasibility judgment into external collaboration scoping.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Represent the team\u0026#39;s research externally\u0026lt;/strong\u0026gt; through publications, talks, and engagement with therapeutic-platform and computational-biology communities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Education.\u0026lt;/strong\u0026gt; PhD in Computational Biology, Computational Genomics, Machine Learning, or a related quantitative field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Research excellence.\u0026lt;/strong\u0026gt; Track record of impact in computational cell biology or target identification at premier venues, with first- or last-author publications at Nature, Science, Cell, specialized titles (Nature Methods, Nature Biotechnology, Nature Medicine), and/or ICLR, ICML, or NeurIPS. Equivalent industry impact through deployed platforms or applied research of comparable scope is welcome.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Vision for AI-driven science.\u0026lt;/strong\u0026gt; A clear, defensible point of view on how AI, lab automation, and closed-loop experimentation together change how cell biology is done — and excitement about being a co-architect of that change at platform scale, not just an applier of existing tools. Track record of having pushed for or led a meaningful methodological shift in how science gets done is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Team-building and leadership track record.\u0026lt;/strong\u0026gt; Demonstrated experience hiring, growing, and leading computational scientists — whether as a manager, tech lead, or senior IC who has built de facto teams around them. Comfortable transitioning from IC execution to people leadership as the team scales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Applied computational cell biology depth.\u0026lt;/strong\u0026gt; Deep scientific fluency across multiple cell-biology modalities (single-cell omics, perturbation biology, spatial profiling, imaging, and adjacent data types), with hands-on experience using modern ML/AI methods to extract biological insight from these data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Target identification as an initial applied focus.\u0026lt;/strong\u0026gt; Demonstrated work in computational target identification or closely adjacent applied programs (e.g., disease-mechanism mapping, perturbation-driven discovery), strong enough to anchor the team\u0026#39;s initial applied program in this area.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Translation to deployed capability.\u0026lt;/strong\u0026gt; Experience translating computational research into deployed capability that downstream teams or external partners consume, including building evaluations that hold up in deployment rather than only against held-out research benchmarks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mentorship of senior scientists.\u0026lt;/strong\u0026gt; Track record growing scientific judgment in research scientists, postdocs, or pod leads, including peers and near-peers, not only direct reports.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-functional collaboration.\u0026lt;/strong\u0026gt; Strong collaboration across experimental scientists, computational biologists, platform engineering, and product or business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience scoping or supporting external partnerships where technical-feasibility judgment shapes the deal.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Lab-in-the-Loop or closed-loop workflows where computational predictions drive experimental decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working alongside or within therapeutic-modality teams (cell therapy, nucleic-acid delivery, small molecule).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source tools, benchmarks, or datasets for applied computational cell biology — including but not limited to target identification.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in early-stage or 0→1 environments where applied and research charters had to be built in parallel.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$288,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$480,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4011901009,"name":"AI","child_ids":[],"parent_id":null}],"offices":[{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4087979009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4058656009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4087979009,"updated_at":"2026-06-02T11:44:03-04:00","requisition_id":"7260","title":"Principal Technical Program Manager","company_name":"Lila Sciences","first_published":"2025-12-22T14:47:19-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is an innovative early-stage company, and we\u0026#39;re seeking a \u0026lt;strong\u0026gt;Principal Technical Program Manager\u0026lt;/strong\u0026gt; to help lead our groundbreaking efforts in technology development. In this role, you will connect cutting-edge research with program execution, ensuring our initiatives not only meet current project needs but also pave the way for a transformative future.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Guide the overall program, ensuring strategic alignment and translating research insights into actionable initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluate and integrate emerging technologies to shape and refine program objectives in a dynamic environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead technical projects, ensuring the robustness and scalability of the technology stack while aligning with organizational goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage and maintain data integrity and relevance, collaborating across teams to set and monitor performance metrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the key interface between technical and business teams, effectively communicating complex outcomes and securing necessary resources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement best practices for rapid experimentation and iteration, facilitating efficient and agile program progression.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop clear documentation and reporting to communicate vision, track progress, and align initiatives with organizational priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of continuous innovation and experimentation by staying informed about technological advancements and recommending strategic improvements.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in program management across various areas.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical and problem-solving skills, with the ability to turn technical requirements into actionable program roadmaps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent organizational and communication skills, with experience leading cross-functional teams and driving programs to successful completion.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A proactive leader passionate about transforming research insights into tangible program value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Skilled at managing both technical and operational aspects of early-stage program development, ensuring alignment with strategic business objectives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enthusiastic about emerging technologies and experienced in driving rapid experimentation and program iteration.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$270,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4182437009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4105621009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4182437009,"updated_at":"2026-05-27T15:19:47-04:00","requisition_id":"7396","title":"Product Lead, Software/Applied AI","company_name":"Lila Sciences","first_published":"2026-04-07T13:09:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Overview of the role:\u0026lt;/h3\u0026gt;\n\u0026lt;hr\u0026gt;\n\u0026lt;p\u0026gt;As the Product Manager for Software / Applied AI at Lila, you will help build the first truly AI-native system of record for scientific discovery. We are looking for product leaders who can dive deep into a specific domain and own it completely.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Whether your strengths align best with our core software platform or our cutting-edge agentic science offerings, you will be embedded with a dedicated scrum team to solve complex, full-stack challenges. You will sit at the intersection of commercial, engineering, design, and scientific research, building the tools that accelerate the next generation of scientific discovery.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are hiring for a wide range of function areas, and seniority levels — final title and level will be decided at the offer stage. Priority areas include 1) data, 2) ML / computational tooling, 3) scientific agents, and 4) harness \u0026amp;amp; evals.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Ability to work from our San Francisco, CA; or Cambridge, MA office 3-5 days per week.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Responsibilities:\u0026lt;/h3\u0026gt;\n\u0026lt;hr\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Deep Domain Ownership:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We will match your unique product strengths to a specific scrum team, where you will go deep, define the roadmap, and become the absolute subject matter expert for that product area. That said, we operate as one product team and collaborate closely.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Full-Stack Product Execution:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;From designing user-facing scientific workflow tools to shaping the underlying data infrastructure that powers our AI models, you will define requirements and guide execution across the entire stack.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The intelligence platform for Science:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Build intuitive, powerful software that scientists actually want to use. You will be responsible for translating incredibly complex scientific workflows into scalable, elegant digital products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Orchestration:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lead the dialogue between our research scientists (who push the boundaries of what\u0026#39;s possible) and our engineering teams (who build robust, scalable systems), ensuring we ship high-impact, cohesive products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Qualifications:\u0026lt;/h3\u0026gt;\n\u0026lt;hr\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Core Product Experience:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Product Management experience building complex B2B SaaS, data-heavy platforms, or highly technical software products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Full-Stack Mindset:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You are comfortable navigating both the user experience of a complex workflow and the technical realities of the backend architecture required to support it.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bias for Action in Complexity:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You thrive in ambiguous environments. You can take a vague, highly technical customer request and turn it into a clear, prioritized roadmap for your engineering team in days, not weeks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Operational Rigor:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You care deeply about the \u0026quot;how\u0026quot; — how the product is built, how it performs, and how it directly impacts the end user\u0026#39;s daily work.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Preferred Skills:\u0026lt;/h3\u0026gt;\n\u0026lt;hr\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scientific Background:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A degree or deep practical experience in the hard sciences (materials science, chemistry, biology, etc.).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Building for Scientists:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Direct experience building software, tools, or platforms specifically designed for scientific researchers or lab environments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Startup DNA:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Experience as an early-stage product manager who knows how to move fast, iterate, and build from 0 to 1.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$288,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null},{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4240470009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4140511009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4240470009,"updated_at":"2026-05-14T17:07:44-04:00","requisition_id":"7494","title":"Project Manager, Facilities Management","company_name":"Lila Sciences","first_published":"2026-05-12T10:10:14-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is expanding its physical footprint and upgrading the facilities that power its research. As Project Manager on the Facilities Management team, you will own the end-to-end delivery of capital projects — from lab buildouts and HVAC upgrades to new site development — that directly enable Lila\u0026#39;s scientific operations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Director of Capital Projects, you will manage the full project lifecycle: scoping, planning, budgeting, vendor and contractor management, permitting, and closeout. You will partner closely with scientific, operations, engineering, and EHS teams to ensure projects are delivered safely, on time, and within budget.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role sits at the intersection of construction execution and scientific infrastructure. You will bring order and accountability to complex, multi-stakeholder projects in a fast-moving environment where the quality of the facilities directly affects the quality of the science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead end-to-end delivery of capital projects — including lab buildouts, renovations, HVAC/MEP upgrades, and new site development — from scoping through closeout\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and maintain project plans, schedules, budgets, and risk registers; identify and resolve issues before they affect cost or timeline\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage vendors, architects, and general contractors; hold external partners accountable for quality, safety, and on-schedule delivery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with scientific, operations, engineering, and EHS teams to align project scope with research and operational requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own permitting, inspections, and regulatory compliance across all active projects; ensure adherence to applicable safety standards and building codes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support capital planning by contributing project data, cost forecasts, and lessons learned to inform future facility investments\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Engineering, Construction Management, Architecture, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;4+ years of experience managing facilities capital projects, with a track record of delivering complex construction or infrastructure projects on time and within budget\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience delivering projects in a lab, cleanroom, or technical facility environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience managing vendors, architects, and general contractors across the full project lifecycle\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MEP systems, construction methods, and building systems relevant to technical or laboratory environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency in project planning, budget management, and contract administration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear communicator with the ability to manage multiple stakeholders across technical and non-technical teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Background in biotech, pharma, or R\u0026amp;amp;D facility environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with permitting processes and regulatory requirements for life sciences or research facilities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting capital planning and portfolio-level cost forecasting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;PMP or equivalent project management certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$108,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$144,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4219337009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4128364009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4219337009,"updated_at":"2026-05-26T16:02:33-04:00","requisition_id":"7465","title":"Research Associate, Protein Science, Cell-Free Expression","company_name":"Lila Sciences","first_published":"2026-05-02T15:46:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is seeking a dedicated and skilled\u0026amp;nbsp;\u0026lt;span class=\u0026quot;notion-enable-hover\u0026quot; data-token-index=\u0026quot;1\u0026quot;\u0026gt;Research Associate, Protein Sciences\u0026lt;/span\u0026gt; to join our high through-put Cell-Free Expression platform. As a Research Associate, you will play a vital role in our interdisciplinary research efforts focused on building and automating artificial intelligence-driven processes across a variety of valuable applications.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Development and refinement of cell-free expression systems for efficient protein synthesis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize conditions for high-yield and high-quality protein production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare media and solutions for cell culture and processing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform molecular cloning, mutagenesis, and other genetic manipulation for strain development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrate proficiency in operating and utilizing liquid handlers and robotic systems for automated laboratory processes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with biologists, machine learning scientists, software developers, and other engineers to develop and optimize AI-driven processes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track and maintain excellent data records in formats amenable to computational workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze and interpret experimental data, prepare technical reports, and present findings to internal teams and stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A bachelor\u0026#39;s or master\u0026#39;s degree in biochemistry, molecular biology, biotechnology, biological engineering, chemical engineering, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;1-3 years of laboratory experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cell culture techniques, including growth, maintenance, and transformation, across a variety of cell lines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with plate-based assays\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent attention to detail, organization, and communication\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Skilled in cloning, expression and optimization of protein\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data analysis using relevant software (Python, R, or similar)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scripting for automation platforms\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$72,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$96,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4031323009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4022163009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4031323009,"updated_at":"2026-05-14T17:07:12-04:00","requisition_id":"6975","title":"Research Engineer, Frontier Capabilities","company_name":"Lila Sciences","first_published":"2025-10-06T13:52:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The AI Research team is tackling one of the most exciting, open problems in AI: training LLMs to run long-horizon scientific discovery tasks. Our approach spans the full post-training stack - from SFT to asynchronous RL on agentic harnesses - teaching models to plan, use tools, and learn from experience in domains where the ground truth isn\u0026#39;t a preference label, but a scientific result.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re rapidly growing our Research Engineering org and seeking talented engineers and ML practitioners across levels to design, build, and optimize systems to push this frontier: scaling post-training, sharpening reasoning, and unlocking compute-intensive agentic-harness training. This is a rare chance to join an early team with the autonomy, flexibility, and compute to tackle frontier science problems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We operate with high agency, and a bias toward execution. Below are several focus areas within the team. \u0026lt;strong\u0026gt;We ask that candidates select the stream that best matches their experience and excitement.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Work Streams\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Stream A: GPU Optimization \u0026amp;amp; Training Performance\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Maximize hardware utilization across 100B+ parameter asynchronous RL training runs. Responsibilities include profiling, performance optimization, custom kernel development, communication-computation overlap, and long-context throughput improvements. You set and maintain the performance baseline.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Stream B: Stack \u0026amp;amp; Infrastructure\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Own the post-training infrastructure end-to-end — supervised fine-tuning, asynchronous RL with tool integration, and data pipelines. Build modular, reproducible workflows with single-command execution. Manage upstream framework upgrades and deliver composable pipelines spanning Data, SFT, and RL stages. You work tightly with Research Scientists to develop and productionize novel algorithms to run at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Stream C: Model Experimentation\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Bring deep, hands-on experience training large language models. Lead experimentation on reasoning model development, including mixture-of-experts stabilization, curriculum design, and synthetic reasoning trace generation. You have a bias toward experimental design and tracking, and know how to prioritize runs that yield promising outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Stream D: Evaluations \u0026amp;amp; Benchmarks\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Design and build best-in-class scientific agentic benchmarks and harnesses, along with the dashboards and leaderboards that inform every training decision. You have experience working with well known public benchmarks and have spent time building bespoke agentic benchmarks and harnesses.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Stream E: Agentic Capabilities \u0026amp;amp; Frontier Research\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Train models capable of planning, exploration, and tool use over extended horizons. Advance the state of the art in RL at scale with tool-calling, subgoal decomposition, and shared memory/skills across trials to expand the frontier of scientific agent capabilities.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong software engineering skills in Python; C++/CUDA a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of large-scale model training techniques for 100B+ models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud or HPC environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to communicate technical results to internal and external stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior work with large scale scientific datasets or domain-specific modeling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source ML frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with RL post-training (RLHF, GRPO, tool-augmented RL)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience training MoE architectures\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;San Francisco, CA or Cambridge, MA (Remote, Hybrid, and On-Site available depending on team needs).\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$189,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$289,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4011901009,"name":"AI","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4087170009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4057929009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4087170009,"updated_at":"2026-05-14T17:07:24-04:00","requisition_id":"7258","title":"Research Scientist, Dexterous Manipulation \u0026 Robot Learning ","company_name":"Lila Sciences","first_published":"2025-12-22T15:26:20-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a \u0026lt;span class=\u0026quot;notion-enable-hover\u0026quot; data-token-index=\u0026quot;1\u0026quot;\u0026gt;Robotics Scientist\u0026lt;/span\u0026gt; at Lila, you will lead the research and development of autonomous robotic systems that serve as the intelligent physical infrastructure of our scientific superintelligence platform. You’ll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling fully autonomous workflows for scientific discovery, combining cutting-edge robotics, machine learning, and systems engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Pioneering approaches for precise and dexterous robotic manipulation that leverage foundation models, reinforcement learning, diffusion-based methods, and human guidance to enable adaptive and intelligent robotic systems capable of complex tasks across diverse scientific environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Developing novel human-robot interaction frameworks that incorporate imitation learning, and learning from human guidance, feedback, demonstrations and corrections, creating intelligent robotic agents that can seamlessly integrate with human scientific workflows and rapidly adapt to new experimental contexts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advancing dexterous manipulation research through cutting-edge machine learning approaches, including diffusion models and adaptive learning algorithms, that synthesize multi-modal sensing (tactile, visual, and language) to develop generative skill representation sand sophisticated motor learning policies for intelligent robotic systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Designing autonomous robotic systems with trust calibration mechanisms, enabling intelligent agents that can dynamically adjust their behaviors based on contextual information in complex scientific tasks\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ph.D. in Robotics, Machine Learning, Computer Science, or a related field with demonstrated expertise in foundation models for robotic learning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced proficiency in reinforcement learning, diffusion-based methods, imitation learning, and adaptive learning algorithms for robotic manipulation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert-level experience with machine learning frameworks (PyTorch, TensorFlow) and deep learning architectures for developing foundation models, with specific expertise in diffusion-based generative models for robotics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of developing multi-modal perception systems integrating tactile, visual, language and other contextual sensing for intelligent robotic agents\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong publication record in robot learning, demonstrating innovative approaches to trust calibration, contextual learning, and generative robotic skill learning\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Research contributions to foundation models and diffusion methods in robotics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with large-scale machine learning model development, particularly generative and diffusion-based approaches\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in human-in-the-loop learning, correction-based training paradigms, and diffusion-guided skill transfer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to translate theoretical machine learning research, especially diffusion and generative models, into practical robotic implementations\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$176,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$304,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4040086009,"name":"Robotics","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4031326009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4022166009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4031326009,"updated_at":"2026-05-14T17:07:12-04:00","requisition_id":"6976","title":"Research Scientist, Frontier Capabilities ","company_name":"Lila Sciences","first_published":"2025-10-06T13:55:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re building a talent-dense, high-agency research team to develop the next generation of learning systems and reasoning algorithms for agentic LLMs. Our work sits at the intersection of large language models, post-training, and scientific reasoning, with the goal of enabling systems that \u0026lt;strong\u0026gt;learn from experience, reason effectively, and improve through interaction\u0026lt;/strong\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Scientific domains present a distinct set of challenges that make this problem uniquely hard. Feedback is sparse and delayed — experiments take days or weeks, not milliseconds. Ground truth is expensive or contested. Distribution shift is structural, as instruments, techniques, and knowledge bases evolve continuously. The hypothesis space is vast and reward signal is thin. Existing benchmark do not capture these nuances. The goal is to build systems that can operate effectively in this scientific regime.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role spans a few complementary directions. Candidates are expected to bring deep expertise in \u0026lt;strong\u0026gt;one (ore more)\u0026lt;/strong\u0026gt; of the following areas. In the event of cross-track expertise, please select the one you align to the most. Our interview process will be catered to verifying the chosen expertise area.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Expertise Area 1 — Agentic system building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Focus: Build systems that autonomously propose, execute, and verify scientific hypotheses over long time horizons.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Create and analyze long-running auto-research systems that propose and verify hypotheses\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design planning frameworks for agentic systems operating over long, sparse feedback loops\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design memory architectures that allow agents to build and retrieve structured knowledge over time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Explore algorithms in recursive self-improvement, multi-agent coordination, and continual learning\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Expertise Area 2:\u0026amp;nbsp;Distillation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Focus: Translate strong inference-time behaviors and reasoning traces into efficient, trainable models.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop distillation strategies from large or ensemble models into deployable systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Research methods for self-improvement, including iterative self-distillation and critique loops\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Investigate how to preserve generalization and reduce catastrophic forgetting through the distillation process\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Expertise Area 3 — Scalable experience generation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Focus: Develop inference-time algorithms and synthetic data pipelines that generate high-quality training signal for scientific reasoning.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and benchmark inference-time search, sampling, and verification strategies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Propose new techniques in synthetic environment creation and curriculum learning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop synthetic data generation strategies that capture high-quality scientific reasoning for agentic model training\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Measure the end-to-end impact of inference-time improvements on real scientific tasks\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What you’ll need to succeed:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;An advanced degree in computer science, machine learning, or a related field, or or comparable experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in LLMs and empirical research\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and executing rigorous ML experiments, including benchmarking and ablations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with large-scale training or evaluation pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to define and pursue research directions in open-ended, rapidly evolving spaces\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong collaboration and communication skills across research and engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus points for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with synthetic data generation, distillation, or self-improvement loops\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with reinforcement learning (e.g., RLHF, on-policy methods)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with planning, search, or decision-making systems at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in building agentic systems with tool use, or multi-agent workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in program synthesis, coding benchmarks, or long-horizon tasks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building evaluation frameworks or large-scale benchmarks\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scientific rigor \u0026amp;amp; persistence:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You take a principled approach to experimentation, with careful baselines, ablations, and evaluation design\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are motivated by understanding \u0026lt;em\u0026gt;why\u0026lt;/em\u0026gt; systems work, not just improving metrics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You prioritize clarity, reproducibility, and intellectual honesty in research\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are comfortable working through long, nonlinear iteration cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You operate effectively in ambiguous, fast-evolving research environments\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$176,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$304,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4011901009,"name":"AI","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4110163009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4075140009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4110163009,"updated_at":"2026-05-14T17:07:26-04:00","requisition_id":"7285","title":"Research Scientist I/II, AI for Process Engineering","company_name":"Lila Sciences","first_published":"2026-01-23T12:54:54-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a member of our team in the Physical Sciences division, you will design and build intelligent agent-driven systems that enable AI-accelerated and AI-orchestrated process engineering across a broad range of industrial applications. The core mission of this role is to develop methods by which AI agents can reason about, design, simulate, optimize, and operate complex physical and chemical processes using existing or ML-driven process engineering tools. You will focus on creating agentic infrastructures that allow AI systems to plan and execute multi-step process engineering workflows, ranging from process synthesis and flowsheet generation to steady-state and dynamic simulation, control strategy design, and techno-economic evaluation. Your work will directly shape how Lila’s scientific superintelligence performs closed-loop autonomous process engineering to solve real-world problems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect and implement agentic frameworks that support end-to-end process engineering workflows, including process setup, simulation, optimization, and analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop AI agents capable of autonomously planning, executing, and iterating on process engineering tasks using existing tools (e.g., steady-state and dynamic simulators, optimizers, and data systems).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Explore agentic approaches for advanced tasks such as process intensification, control co-design, real-time optimization, and closed-loop learning from operational data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve robustness, interpretability, and reproducibility of agent-driven process engineering workflows; build internal tooling for debugging, observability, validation, and auditability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with interdisciplinary teams to apply agentic process engineering to a broad range of industrial applications\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD or equivalent experience in Chemical Engineering, Industrial Engineering, Systems Engineering, or a closely related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Research experience in method development for process engineering, a strong publication record in this area or established industry experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with process simulation and optimization tools (commercial or open-source), including steady-state and dynamic modeling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python and scientific/engineering computing ecosystems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience integrating external engineering tools or simulators into automated workflows via APIs, scripting interfaces, or custom wrappers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with distributed systems, HPC environments, cloud platforms, or scalable compute infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience developing or integrating agentic frameworks, autonomous planners, or multi-step tool-using AI systems for engineering or scientific domains.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building computational pipelines, automation systems, or tool-use frameworks for complex engineering or scientific workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with digital twins, real-time optimization, or model-predictive control frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in techno-economic analysis (TEA), life-cycle assessment (LCA), or sustainability-driven process design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source engineering software, ML infrastructure, workflow engines, or agent frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$176,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$304,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013388009,"name":"Physical Sciences AI","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4243144009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4141727009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4243144009,"updated_at":"2026-05-15T12:05:13-04:00","requisition_id":"7495","title":"Research Scientist I/II, Multiscale \u0026 Multiphysics Simulations","company_name":"Lila Sciences","first_published":"2026-05-15T12:05:13-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Your role will focus on building next-generation \u0026lt;em\u0026gt;in silico\u0026lt;/em\u0026gt; multiphysics and multiscale simulation capabilities that power AI-driven scientific discovery. You will develop high-fidelity digital representations of complex physical systems spanning chemical and mechanical processes, transport phenomena, and electromagnetic behavior and integrate them into autonomous discovery and experimental pipelines.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will work on integrating simulation methods—such as finite element modeling, computational fluid dynamics, phase-field methods, and TCAD-style transport/process modeling—into scalable, programmatic, and agent-driven systems that enable real-time digital twins, simulation-informed decision-making, and autonomous closed-loop workflows\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop and deploy robust multiphysics models across coupled domains (e.g., thermal, fluid, structural, electromagnetic, chemical), using methods such as coarse-grained, mesoscale, FEM, and CFD techniques.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build integrated multiscale frameworks that connect atomistic, mesoscale, and continuum representations to model materials and devices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement programmatic, agent-driven simulation workflows that can autonomously configure, execute, and refine simulations within closed-loop discovery workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create scalable, GPU-accelerated simulation pipelines, data infrastructure, and interoperable APIs that connect commercial tools (e.g., COMSOL, ANSYS) and custom solvers deploying on cloud-based, high-throughput computing environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with AI, software, and automation teams to orchestrate and deploy closed-loop discovery workflows, integrating computational predictions with robotic and cloud-based laboratory platforms to enable automated experiment–simulation feedback cycles and accelerated R\u0026amp;amp;D.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Materials Science, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience with multiphysics simulation methods and numerical algorithms, including FEM, CFD, TCAD/process simulation, mesoscale modelling, or related techniques.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in coupled physical phenomena, including heat transfer, fluid dynamics, structural mechanics, mass transport, diffusion, electromagnetism, and reaction kinetics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience applying simulation to real-world systems in industrial settings such as semiconductors, chemical processing, aerospace, or materials manufacturing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid programming skills in Python and building simulation workflows, automation pipelines, or custom numerical models.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience bridging atomistic simulations with one or more additional simulation domains including coarse-grained, finite-element and continuum models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with machine learning approaches applied to physical simulations (e.g., surrogate models, neural operators, physics-informed neural networks), along with experience leveraging GPU acceleration and programmatic optimization for scalable simulations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience integrating simulation frameworks into digital twin systems, real-time decision environments, or closed-loop control workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background applying simulation to complex materials and process domains such as thin-film deposition, micro/nano-fabrication, or reactive transport, with an understanding of processing–structure–property relationships.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$176,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$304,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013388009,"name":"Physical Sciences AI","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4031471009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4022273009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4031471009,"updated_at":"2026-05-14T17:07:15-04:00","requisition_id":"7124","title":"Research Scientist I/II, Statistical Mechanics and Dynamics","company_name":"Lila Sciences","first_published":"2025-10-06T14:03:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Your role in our Physical Sciences division will focus on designing and implementing state-of-the-art simulation approaches to model transport, kinetics, rare events, and reaction networks, and integrating them with AI-driven platforms for materials discovery. Your work will be integral to our efforts in predicting, designing, and controlling the behavior of complex materials and molecular systems, and their acceleration via agentic AI. You will partner with diverse teams at Lila, including machine learning experts working on scientific superintelligence and materials science experts performing real-world experiments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop and extend molecular dynamics and Monte Carlo algorithms to capture rare events, non-equilibrium processes, transport phenomena, and mapping complex reaction networks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build scalable simulation workflows that integrate statistical mechanics methods with machine learned interatomic potentials and agentic AI frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design methods for coupling dynamics simulations with experimental observables to enable closed-loop verification and discovery with automated labs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with computational scientists, machine learning experts, and platform engineers to advance the fidelity and scalability of simulation-driven materials discovery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish reproducible, modular software pipelines for statistical mechanics and dynamics simulations that can be deployed on HPC and cloud-based infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD or equivalent research/industry experience in Physics, Chemistry, Chemical Engineering, Mechanical Engineering, Applied Mathematics, or related fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in statistical mechanics, free energy calculations, reaction mapping, non-equilibrium dynamics, and rare-event sampling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated expertise with molecular dynamics, Monte Carlo, and/or kinetic simulation software and frameworks (LAMMPS, GROMACS, OpenMM, HOOMD, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid programming skills and experience with scientific computing (Python, C/C++, MPI, CUDA, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience running and automating simulations on HPC and/or cloud environments at scale.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong publication record applying advanced statistical mechanics or dynamics simulations to molecular and materials systems, including but not limited to molecular/biomolecular systems and solid-state materials and interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior work in coupling dynamics simulations with data-driven, AI-based, and/or agentic frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good familiarity with machine learning frameworks (PyTorch, JAX, TensorFlow, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience working with machine learned interatomic potentials, including model training, fine-tuning, and data generation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Worked closely with experimental teams to extract and corroborate experimental observables from dynamics simulations\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$176,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$234,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013388009,"name":"Physical Sciences AI","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4209788009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4122822009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4209788009,"updated_at":"2026-05-14T17:07:40-04:00","requisition_id":"7447","title":"SCADA Engineer","company_name":"Lila Sciences","first_published":"2026-04-13T21:35:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is seeking a motivated SCADA Engineer to contribute to the design, development, and implementation of control systems for automated scientific equipment. This role involves applying core engineering principles to support PLC controls, robotics integration, troubleshooting systems, and collaborating within cross-functional teams to enhance laboratory automation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Assist in designing, programming, and deploying control systems using PLC and SCADA technologies to optimize laboratory workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the integration and testing of advanced robotics and conveyance systems within existing automation frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist in integrating 3rd party equipment and vendor software into SCADA and make custom HMIs to aid in user controls.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the design and implementation of safety systems to safely operate a mix of lab equipment and robotics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with software teams to support the integration of control systems with broader IT/OT factory infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, update, and maintain engineering documentation, including P\u0026amp;amp;ID diagrams, wiring schematics, control narratives, and instrument IO lists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support multi-team automation projects by independently executing technical tasks, meeting milestones, and adhering to engineering best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform calibration, testing, troubleshooting, and validation of control systems to ensure they meet performance, accuracy, and safety standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with subject matter experts (SMEs) and project teams to understand technical requirements and solve moderately complex hardware/software challenges.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify recurring technical issues and implement improvements to enhance system reliability and operational efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;2–4 years of experience in designing, implementing, or maintaining control systems, preferably in automated manufacturing or laboratory environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of PLCs, HMI, SCADA, and related automation software and hardware.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with industrial networking basics in OT deployments (e.g., IP addressing, basic routing).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience reading and creating detailed engineering documents and schematics using tools like AutoCAD, SolidWorks Electrical, or similar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience or academic background in robotics integration and programming.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Effective communication and collaborative skills for working within project teams and with internal stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical and problem-solving skills, with the ability to independently execute solutions for well-defined technical issues.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ignition SCADA Core training and HMI design experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Structured text programming experience in TwinCAT, Python, C++, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with communication protocols like OPC-UA, MQTT, and REST APIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to safety system design concepts and classifications like SIL or PL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Basic understanding of managed network switches, port addressing/IP subnetting, and DHCP services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to troubleshoot basic traffic flows between OT networks and cloud instances.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$75,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$124,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4209819009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4122842009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4209819009,"updated_at":"2026-05-14T17:07:40-04:00","requisition_id":"7448","title":"Scientist I/II, Drug Delivery Chemistry","company_name":"Lila Sciences","first_published":"2026-04-27T13:33:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Scientist (II) to join our Physical Sciences team. This role will focus on assisting in the design and development of a high throughput chemical synthesis platform, with emphasis on medicinal chemistry and drug delivery applications. The ideal candidate will have experience synthesizing, analyzing, and optimizing novel molecules to build out structure-activity relationships for a library of compounds. This position will work closely with others across the chemistry, formulations, engineering, machine learning, and data science teams to help establish next-generation tools for therapeutic development and drug delivery. Your work will bridge the physical sciences and bioanalytical domains, enabling high-throughput experimentation for closed-loop optimization of organic compounds.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, synthesize, and optimize novel lipids, small molecules, and other combinatorial chemistry compound libraries for drug delivery applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deploy high-throughput synthesis strategies, build automated assay platforms, and develop innovative approaches to interrogate large chemical spaces\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with chemistry, computational, and automation teams to establish structure-activity relationships for compound libraries to guide iterative design strategies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement data-driven approaches to analyze screening outputs and guide iterative molecule design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with and manage projects with CDMOs for research-grade synthesis, with considerations towards scale-up of lead compounds\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices for screening data quality, reproducibility, and assay robustness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate across disciplines to translate screening hits into validated chemical starting points for therapeutic programs.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ph.D. in Chemistry, Chemical Engineering, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;≥ 1 years of experience with automation, instrumentation, and integrating real-time analytics into experimental workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in organic synthesis, with experience designing and synthesizing novel organic compounds.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent problem-solving, communication, and collaboration skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with novel lipid design for drug delivery applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior knowledge and implementation of biodegradability and tolerability design principles, with working knowledge of biological implications of compound moieties\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience working in an autonomous or self-driving chemical lab environment driving organic chemistry transformations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with AI-driven experimental design or Bayesian optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in scaling workflows from proof-of-concept to routine, high-throughput operation\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$108,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$170,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4204230009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4119261009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4204230009,"updated_at":"2026-05-14T17:07:38-04:00","requisition_id":"7433","title":"Scientist I/II, mRNA Translation Dynamics ","company_name":"Lila Sciences","first_published":"2026-04-09T09:50:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span class=\u0026quot;discussion-level-1 discussion-id-3331a62c-8a83-8011-ad6d-001c9497f406 notion-enable-hover\u0026quot; data-token-index=\u0026quot;0\u0026quot;\u0026gt;We are seeking a curious, driven, and collaborative Scientist to join our discovery platform team focused on decoding mRNA translation dynamics. You will develop workflows that utilize next-generation pooled screening strategies like polysome profiling and Ribo-seq to to generate rich biological datasets that feed directly into Lila\u0026#39;s machine learning models. This is a unique opportunity to help invent a new approach to biological discovery by integrating synthetic biology, high-throughput experimentation, and intelligent automation.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and execute high-throughput pooled screening campaigns to interrogate mRNA translation dynamics across diverse sequence and structural contexts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and optimize cell-free and in-cell assay systems for quantitative measurement of translation efficiency, kinetics, and regulation across different cell environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with computational and ML teams to define data requirements, validate model predictions, and close the loop between experiment and prediction\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish and refine next-generation library design strategies, leveraging combinatorial and rational approaches to explore sequence space efficiently\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze and interpret complex biological datasets, distilling key findings into actionable insights for platform advancement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the development of automated and semi-automated experimental pipelines to increase throughput and consistency\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;MSc with 4+ years of industry or academic experience, or PhD in a relevant field (molecular biology, bioengineering, synthetic biology, chemical biology, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in mRNA biology and translation regulation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with next-generation sequencing based assays of mRNA translation such as polysome profiling and Ribo-seq\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong quantitative and analytical skills with experience handling large-scale biological datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and collaboration skills with a track record of working effectively in interdisciplinary teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience integrating experimental data with machine learning or computational modeling pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python, R, or other scripting languages for data analysis and visualization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in generating and screening complex, high-diversity sequence libraries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with laboratory automation, liquid handling systems, or high-throughput workflow development\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with in-situ sequencing of RNA with imaging like STARmap and Ribomap\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$108,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$170,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4192801009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4113478009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4192801009,"updated_at":"2026-05-14T17:07:37-04:00","requisition_id":"7417","title":"Scientist I/II, Organic Chemistry","company_name":"Lila Sciences","first_published":"2026-03-25T14:43:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The \u0026lt;strong\u0026gt;Scientist I/II, Organic Chemistry\u0026lt;/strong\u0026gt; will develop, execute, and optimize \u0026lt;strong\u0026gt;modern chemical transformations\u0026lt;/strong\u0026gt; that support Discovery Chemistry efforts across Lila’s platform, with a focus on the rapid synthesis of \u0026lt;strong\u0026gt;small molecules\u0026lt;/strong\u0026gt; and structurally diverse chemical matter. This role is intended for an experimental organic chemist who combines strong foundations in synthetic chemistry with hands-on experience in \u0026lt;strong\u0026gt;high-throughput experimentation (HTE), reaction workup, and analytical characterization\u0026lt;/strong\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Working closely with Discovery Chemistry, analytical chemistry, automation, screening, and AI/computational teams, this scientist will help build and apply efficient chemistry workflows that accelerate molecular design–make–test–analyze cycles. The Scientist II will contribute to reaction development, analog generation, and route execution using modern organic chemistry approaches that are compatible with scalable, data-rich, and increasingly automated discovery environments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is ideal for a chemist excited by solving synthetic problems at the interface of \u0026lt;strong\u0026gt;reaction innovation, high-throughput experimentation, process efficiency, and analytical insight\u0026lt;/strong\u0026gt;, and who is motivated to help shape next-generation discovery workflows beyond traditional bench chemistry.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, execute, and optimize \u0026lt;strong\u0026gt;chemical transformations relevant to Discovery Chemistry\u0026lt;/strong\u0026gt; programs, with emphasis on the rapid synthesis of small molecules and analog series.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apply modern synthetic organic chemistry to enable efficient exploration of structurally diverse and medicinally relevant chemical space.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and perform multi-step synthesis, reaction optimization, workup, purification, and compound characterization in support of molecular discovery campaigns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and execute \u0026lt;strong\u0026gt;HTE\u0026lt;/strong\u0026gt; workflows for reaction screening, condition optimization, reagent evaluation, and rapid assessment of transformation scope.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop robust approaches for \u0026lt;strong\u0026gt;reaction setup, reaction workup, sample preparation, and analytical readout\u0026lt;/strong\u0026gt; to support fast and information-rich experimentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use analytical tools such as \u0026lt;strong\u0026gt;chromatography, NMR\u0026lt;/strong\u0026gt;, and related methods to assess reaction performance, characterize products, and guide synthetic decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the development of practical and scalable chemistry workflows that integrate reaction discovery, reaction optimization, and downstream compound generation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with Discovery Chemistry scientists to translate molecular design concepts into executable synthetic strategies and experimentally tractable reaction plans.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with analytical chemistry and automation teams to build workflows that connect reaction execution with streamlined workup, purification, and data generation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the adaptation of synthetic workflows to \u0026lt;strong\u0026gt;parallel, automated, or robotics-enabled platforms\u0026lt;/strong\u0026gt; where appropriate.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interpret reaction and analytical data rigorously, identify bottlenecks, and propose solutions to improve efficiency, robustness, and reproducibility.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in Organic Chemistry, Medicinal Chemistry, or a closely related discipline with relevant postdoctoral and/or industry experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong expertise in \u0026lt;strong\u0026gt;synthetic organic chemistry\u0026lt;/strong\u0026gt;, including design and execution of multi-step synthesis and development of chemical transformations relevant to small molecule discovery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with \u0026lt;strong\u0026gt;HTE\u0026lt;/strong\u0026gt; for reaction screening, optimization, or scope evaluation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with \u0026lt;strong\u0026gt;reaction workup, sample preparation, purification, and analytical characterization\u0026lt;/strong\u0026gt; in fast-paced synthetic workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong working knowledge of analytical methods commonly used to support organic synthesis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to troubleshoot challenging reactions and independently solve synthetic and experimental problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of how reaction design, execution, workup, and analysis fit together in efficient discovery workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work effectively in interdisciplinary environments spanning chemistry, analytics, automation, and computational sciences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong organizational, documentation, and communication skills, with commitment to scientific rigor and reproducibility.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting \u0026lt;strong\u0026gt;Discovery Chemistry\u0026lt;/strong\u0026gt; or medicinal chemistry programs in biotech, pharma, or advanced research environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with modern reaction classes relevant to \u0026lt;strong\u0026gt;small molecule\u0026lt;/strong\u0026gt; discovery, including coupling chemistry, heterocycle synthesis, late-stage functionalization, and rapid analog generation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with parallel synthesis or robotics-enabled chemistry workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to data-rich, AI-enabled, or platform-based R\u0026amp;amp;D environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborative mindset and enthusiasm for building modern chemistry capabilities that go beyond traditional bench-scale synthesis.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$108,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$170,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4192775009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4113460009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4192775009,"updated_at":"2026-06-05T12:14:09-04:00","requisition_id":"7416","title":"Scientist I/II, Process Chemistry","company_name":"Lila Sciences","first_published":"2026-03-25T14:43:03-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The \u0026lt;strong\u0026gt;Scientist I/II, Process Chemistry\u0026lt;/strong\u0026gt; will develop and apply \u0026lt;strong\u0026gt;modern process chemistry approaches\u0026lt;/strong\u0026gt; to support Discovery Chemistry efforts across Lila’s platform, with a focus on \u0026lt;strong\u0026gt;reaction/reactor engineering, process design, high-throughput experimentation, and digitalized chemistry workflows\u0026lt;/strong\u0026gt; for small molecules and related molecular matter. This role is intended for a hands-on scientist who combines strong foundations in synthetic and process chemistry with an engineering mindset and experience building practical, scalable, and data-rich experimental workflows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Working closely with Discovery Chemistry, analytical chemistry, automation, platform engineering, and AI/computational teams, this scientist will design, execute, and optimize reaction and process workflows that improve the speed, robustness, and scalability of chemical transformations. The Scientist I/II will help bridge early discovery chemistry and modern process development by establishing experimentally efficient, digitally enabled, and automation-compatible approaches to reaction screening, process optimization, and chemistry execution.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is ideal for a scientist excited by the intersection of \u0026lt;strong\u0026gt;chemistry, engineering, high-throughput platforms, process intensification, and digital experimentation\u0026lt;/strong\u0026gt;, and who wants to help shape next-generation process chemistry capabilities beyond traditional bench development.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, execute, and optimize \u0026lt;strong\u0026gt;process-relevant chemical transformations\u0026lt;/strong\u0026gt; that support Discovery Chemistry programs and the generation of small molecules.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop reaction and process workflows with emphasis on \u0026lt;strong\u0026gt;engineering rigor, scalability, reproducibility, throughput, and data quality\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apply \u0026lt;strong\u0026gt;high-throughput experimentation (HTE)\u0026lt;/strong\u0026gt; to reaction screening, process optimization, condition scouting, and evaluation of process-relevant variables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and execute workflows that connect \u0026lt;strong\u0026gt;reaction setup, process screening, workup, analytical readout, and data capture\u0026lt;/strong\u0026gt; into efficient experimental cycles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the design of \u0026lt;strong\u0026gt;digitally enabled process chemistry workflows\u0026lt;/strong\u0026gt;, including structured experimental data generation, electronic documentation, and integration of chemistry data into computational and AI-ready systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with automation and platform teams to develop and adapt reaction and process workflows for \u0026lt;strong\u0026gt;robotics-enabled experimentation\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with analytical chemistry teams to ensure rapid and informative analytical support for reaction monitoring, impurity assessment, and process decision-making.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluate reaction performance through both chemistry and engineering lenses, including yield, selectivity, impurity formation, mass balance, robustness, throughput, and operational simplicity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices for AI-enhanced \u0026lt;strong\u0026gt;process design in early discovery settings\u0026lt;/strong\u0026gt;, balancing speed and molecular access with process understanding and future scalability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay current with advances in \u0026lt;strong\u0026gt;modern process chemistry, reaction engineering, HTE, digitalization, automation, and enabling technologies\u0026lt;/strong\u0026gt; relevant to next-generation discovery chemistry.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in Process Chemistry, Organic Chemistry, Chemical Engineering, Medicinal Chemistry, or a related discipline with relevant postdoctoral and/or industry experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong hands-on experience in \u0026lt;strong\u0026gt;process chemistry, reaction development, or scale-relevant synthetic chemistry\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience applying engineering principles to chemical process design, optimization, and troubleshooting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with \u0026lt;strong\u0026gt;HTE\u0026lt;/strong\u0026gt; for reaction or process screening, optimization, and data-rich experimentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of key process variables in discovery chemistry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with \u0026lt;strong\u0026gt;reaction workup, sample handling, purification, and analytical interpretation\u0026lt;/strong\u0026gt; in fast-paced chemistry environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on familiarity with analytical tools commonly used to support process chemistry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience generating well-structured experimental data to support reproducibility and digital workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to troubleshoot complex experimental problems and independently drive practical, technically sound solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong collaborative skills and ability to work effectively across chemistry, analytics, automation, engineering, and computational teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting \u0026lt;strong\u0026gt;Discovery Chemistry\u0026lt;/strong\u0026gt; or small molecule R\u0026amp;amp;D in biotech, pharma, or advanced platform environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;modern process chemistry in early discovery settings\u0026lt;/strong\u0026gt;, including rapid route improvement, robustness assessment, impurity understanding, and scalable reaction design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with \u0026lt;strong\u0026gt;miniaturized process screening\u0026lt;/strong\u0026gt;, parallel reactors, or robotics-enabled chemistry platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience contributing to the \u0026lt;strong\u0026gt;digitalization of process chemistry\u0026lt;/strong\u0026gt;, including structured data capture, ELNs, workflow automation, or AI/ML-enabled experimental environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to connect chemistry execution with broader platform goals such as throughput, automation compatibility, and data generation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong scientific curiosity and enthusiasm for building next-generation process chemistry capabilities that go beyond traditional development paradigms.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$108,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$170,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4074784009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4050513009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4074784009,"updated_at":"2026-05-14T17:07:22-04:00","requisition_id":"7232","title":"Scientist I / II, Robotics ","company_name":"Lila Sciences","first_published":"2026-01-20T11:26:26-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a \u0026lt;strong\u0026gt;Robotics Scientist\u0026lt;/strong\u0026gt; at Lila, you will lead the research and development of autonomous robotic systems that serve as the intelligent physical infrastructure of our scientific superintelligence platform. You’ll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling fully autonomous workflows for scientific discovery, combining cutting-edge robotics, machine learning, and systems engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and develop autonomous robotic systems for transport and workcell operations, integrating advanced path planning, navigation, and motion planning algorithms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build production-grade mobile manipulation platforms leveraging ROS/ROS2 and modular robotic architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advance robotic perception by integrating sensing modalities such as 3D vision, LIDAR, and tactile sensors to enable robust, adaptable task execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use simulation environments to model, test, and optimize task planning, scheduling, and robot behaviors in diverse lab scenarios\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with AI, mechanical, and software engineering teams to translate theoretical robotics research into real-world autonomous systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ph.D. in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field, or equivalent research experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in motion planning, path planning, and navigation for manipulation and mobile robotics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with ROS/ROS2, C++, and Python, with hands-on experience building robotic systems in real-world environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of perception systems and sensor integration (e.g., camera, LIDAR, tactile sensors)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to take robotic systems from concept through to deployment\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with dual-arm mobile manipulation systems or other high-DOF robotic platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with simulation tools such as Gazebo, Isaac Sim, or PyBullet\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in machine learning for perception, control, or adaptive planning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with real-time decision-making in human-robot collaboration scenarios\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong publication or patent record in robotics, autonomy, or perception\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$176,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$304,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4040086009,"name":"Robotics","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4251028009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4146800009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4251028009,"updated_at":"2026-06-01T10:02:35-04:00","requisition_id":"8521","title":"Scientist II, Mechanics \u0026 Extreme Materials","company_name":"Lila Sciences","first_published":"2026-06-01T10:02:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Scientist II, Mechanics \u0026amp;amp; Extreme Materials on the Materials Science team at Lila Sciences, you will be the technical expert driving closed-loop learning for extreme materials. Your domain depth in coatings and metal alloys, durability testing, and microstructural analysis will directly shape the experimental methods and automated workflows that power Lila\u0026#39;s autonomous science platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role sits at the center of Lila\u0026#39;s extreme materials program focused on the predictive design of hard, wear-resistant, and corrosion-resistant coatings for aerospace, defense, and industrial applications. You will define how the platform interrogates the performance of new alloy and coating systems, what data it generates, and how those outputs feed back into the next experimental cycle.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will work alongside experimentalists, systems engineers, and machine learning scientists, providing the mechanical and metallurgical judgement that keeps closed-loop campaigns scientifically rigorous and accelerating toward next-generation coating and extreme material solutions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work with Program Lead to drive the strategy for closed-loop campaigns on anti-wear and anti-corrosion materials.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop, execute and optimize characterization and testing workflows for extreme environment materials, including coatings and bulk materials. Focus areas include: microstructural, mechanical, and tribological analysis for process-structure-property relationships.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with experimentalists, systems engineers, and ML scientists to integrate characterization outputs into autonomous closed-loop workflows and ML training datasets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead experimental design and analysis to extract key materials properties and performance parameters for ML training.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Troubleshoot characterization workflows and instrumentation to sustain high-throughput operational performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain accurate laboratory records and ensure compliance with safety and regulatory standards.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in Materials Science, Metallurgy, Mechanical Engineering, or related field with 3+ years post-PhD or industry experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in nanoindentation-based mechanical characterization of thin films and bulk materials, including hardness, wear rate, elastic modulus, tribology, and high-throughput testing protocol development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid mechanics foundation and deep expertise in microstructural characterization of metal alloys: SEM, TEM, EBSD.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record developing anti-wear or anti-corrosion materials with measurable performance outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong grounding in physical metallurgy and ceramics science: phase equilibria, transformations, sintering, deformation mechanisms, and degradation in extreme environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to interpret structure-property relationships and translate them into experimental design decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Effective scientific communicator with experience collaborating across experimental, engineering, and computational teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with high-throughput or autonomous experimental workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python or similar tools for data analysis and workflow automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to coating deposition and bulk alloy synthesis techniques.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with ML-guided experimental design or active learning frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CALPHAD modeling (Thermo-Calc, Pandat) for alloy or ceramic phase prediction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in extreme-environment materials testing (high temperature, high stress, or corrosive).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$128,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$172,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4246305009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4143843009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4246305009,"updated_at":"2026-05-26T12:28:43-04:00","requisition_id":"8504","title":"Scientist II/Senior Characterization Scientist,  Condensed Matter","company_name":"Lila Sciences","first_published":"2026-05-26T12:28:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Scientist II/Senior Scientist on the PS Experiment team at Lila Sciences, you will drive the development and implementation of advanced characterization workflows for magnetic and superconducting materials. You will be a core contributor to Lila\u0026#39;s autonomous science platform, designing and executing high-throughput experiments that yield critical structural, magnetic, and transport data to guide materials discovery. Working at the intersection of experimental science, robotics, and AI, you will collaborate with experimentalists, systems engineers, and machine learning scientists to build scalable characterization workflows that accelerate the path to scientific superintelligence in superconductivity and magnetism.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, execute, and optimize characterization workflows for magnetic and superconducting materials using techniques such as magnetometry (VSM/SQUID), transport measurements, and AC susceptibility.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze and interpret complex datasets to extract materials properties including critical temperatures, field-dependent behavior, and magnetic ordering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with experimentalists, systems engineers, and ML scientists to integrate characterization outputs into closed-loop autonomous experimental workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and maintain protocols for sample preparation, instrument calibration, and quality control across diverse material types and form factors.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Troubleshoot characterization workflows and instrumentation to sustain high-throughput operational performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain accurate laboratory records and ensure compliance with safety and regulatory standards.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in Materials Science, Physics, Chemistry, or a related field, with 1–5 years of postdoctoral or industry experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated expertise in characterization of magnetic or superconducting materials, including proficiency with one or more of: VSM, SQUID magnetometry, PPMS, or equivalent platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of the physics of magnetism, superconductivity, or related condensed matter phenomena.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced in making measurements both on materials and protoype devices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in quantitative data analysis and interpretation of structure-property relationships in solid-state materials.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Effective written and verbal communication skills with a track record of cross-functional collaboration.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with complementary characterization techniques such as XRD, TEM, SEM, or spectroscopy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python or similar tools for data analysis and workflow automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in custom instrumentation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Wide breadth of exporuse to different types of functional materials and applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to automated, high-throughput, or autonomous laboratory environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in multiple material classes (e.g., oxides, intermetallics, thin films, or 2D materials).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working in fast-paced, interdisciplinary research settings.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$128,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$198,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4079014009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4053606009,"location":{"name":"Cambridge, MA USA; London, UK; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4079014009,"updated_at":"2026-05-14T17:07:23-04:00","requisition_id":"7245","title":"Scientist/Sr. Scientist, AI Safety","company_name":"Lila Sciences","first_published":"2025-12-16T11:14:03-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc.), to prepare for risks from scientific superintelligence. The initial focus of this team will be to build and implement a bespoke safety strategy for Lila, tailored to its specific goals and deployment strategies. This will involve technical safety strategy development, broader ecosystem engagement, as well as developing technical collateral including risk- and capability-focused evaluations and safeguards.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Evaluations to test for scientific risks (both known but especially novel) from cutting edge scientific models integrated with automated physical labs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Initial proof-of-concept safeguards, such as ML models to detect and block unsafe behavior from scientific AI models, as well as from physical lab outputs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of a range of model capabilities, across primarily scientific but also non-scientific domains (e.g. persuasion, deception) to inform Lila\u0026#39;s broader safety strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Broader, high-quality research efforts - as and when needed - for scientific capability evaluation and restriction.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in a technical field (e.g., computer science, engineering, machine learning, mathematics, physics, statistics), or related experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in Python, and experience with ML frameworks (including, for instance, Inspect) for large-scale evaluation and scaffolded testing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in building evaluations, or conducting red-teaming exercises, for CBRN / cyber risks (or for frontier model capabilities more generally, including both unsafe and benign capabilities)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in designing and/or implementing (directly or through consultation) AI safety frameworks for frontier AI companies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to communicate complex technical concepts and concerns to non-expert audiences effectively.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Masters or PhD in a field relevant to safety evaluations of AI models in scientific domains, or a technical field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Publications in AI safety / evaluations / model behaviour in top ML / AI conferences (NeurIPS, ICML, ICLR, ACL) or model release system cards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience researching risks from novel science (e.g. biosecurity, computational biology, etc.) or working with narrow scientific tools (e.g. large scale foundation models for science).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Location\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul data-list-tree=\u0026quot;true\u0026quot; data-indent=\u0026quot;0\u0026quot; data-border=\u0026quot;0\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;This position may be based in any of Lila\u0026#39;s offices, including Cambridge (MA), San Francisco (CA), or London (UK).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$228,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$358,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4011901009,"name":"AI","child_ids":[],"parent_id":null}],"offices":[{"id":4013238009,"name":"Europe","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4195605009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4115107009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4195605009,"updated_at":"2026-05-14T17:07:38-04:00","requisition_id":"7424","title":"Senior Accountant","company_name":"Lila Sciences","first_published":"2026-03-27T09:27:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Accountant at Lila, you\u0026#39;ll play a pivotal role in scaling and refining our financial operations during a period of rapid growth and innovation. You\u0026#39;ll own core accounting functions, help implement best-in-class processes, and ensure timely, accurate financial reporting across the company. Partnering closely with Finance, Operations, and cross-functional teams, you\u0026#39;ll bring rigor, insight, and systems thinking to support strategic decisions and maintain financial excellence. This is a high-impact opportunity to build and scale the accounting foundation of a company redefining the future of science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Support the month-end close process, including preparing journal entries, reconciliations, and reporting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure accurate application of US GAAP, especially around fixed assets and leases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with lab ops, procurement, and other departments on fixed asset and lease workflows, tracking, and accounting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support audits and compliance efforts, including preparation of schedules and coordination with external auditors\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive improvements in accounting systems and processes (e.g., ERP optimization, automation of reconciliations)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;CPA license\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Accounting, Finance, or related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;4+ years of accounting experience, with at least 2 years in public accounting or a high-growth tech/life sciences company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of US GAAP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with accounting systems (e.g., NetSuite or similar ERP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced Excel skills and a high degree of attention to detail\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with Fixed Asset Accounting, Lease Accounting (ASC 842)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with internal controls and SOX compliance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to FP\u0026amp;amp;A or cross-functional business partnering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for Lila\u0026#39;s mission and eagerness to support science at the cutting edge\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$88,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$126,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4209731009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4122781009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4209731009,"updated_at":"2026-05-14T17:07:40-04:00","requisition_id":"7446","title":"Senior Associate, Corporate Development","company_name":"Lila Sciences","first_published":"2026-04-07T13:28:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Origins is Lila\u0026#39;s company and asset creation arm, where Lila\u0026#39;s partners can turn scientific vision into molecules, materials, and real-world ventures. As a Senior Associate on the Origins team, you will work directly with leadership to evaluate and advance scientific opportunities. You will build analytical frameworks, partner-facing materials, and financial models that underpin how we identify, structure, and pursue these opportunities. This is a high-impact, high-ownership role for a builder who thrives in ambiguity and wants to be close to consequential decisions at one of the most ambitious scientific companies in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain financial models and projections to evaluate scientific opportunities and inform decisions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop partner-facing materials, presentations, and analyses to support external conversations and deal processes, working alongside leadership and external partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluate opportunities in the context of Lila\u0026#39;s platform, assessing scientific, commercial, and strategic fit\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support structuring and execution of ventures from early-stage diligence through deal close\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Synthesize complex scientific and financial information into clear, decision-ready outputs for senior leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate across Lila\u0026#39;s scientific, finance, legal, and product/revenue teams to advance active opportunities\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Typically 4-6 years of experience, with a background in investment banking, private equity, or growth equity, and subsequent experience in venture capital, a startup, or a similarly fast-paced environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in a scientific or engineering discipline, or equivalent technical training\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong financial modeling and analytical skills, with the ability to build models independently from scratch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to produce high-quality partner-facing materials and executive presentations under tight timelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working in ambiguity with limited oversight, and able to manage multiple workstreams simultaneously\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written and verbal communication skills, with the ability to distill complex information for senior audiences\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience evaluating early-stage scientific or technology opportunities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with deep tech or life sciences sectors\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to engage substantively with scientific concepts and translate them into business and financial terms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working directly with senior leadership in a high-growth or fast-paced environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in tools such as Excel, PowerPoint, and data visualization platforms\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$140,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$186,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4110339009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4075255009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4110339009,"updated_at":"2026-05-14T17:07:27-04:00","requisition_id":"7290","title":"Senior Automated Systems Engineer","company_name":"Lila Sciences","first_published":"2026-01-23T13:18:56-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is seeking a highly skilled, hands-on \u0026lt;strong\u0026gt;Automated Systems Engineer\u0026lt;/strong\u0026gt; to design, develop, and implement automation solutions across a broad range of laboratory workflows. Reporting to the Automated Systems Engineering Lead, this role is critical to building scalable, high-throughput automated workcells that translate scientific intent into reliable, real-world systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role serves as a steward of scientific and cross-functional requirements—working closely with scientists, hardware, controls, and software teams to define scope, align interfaces, and drive projects from concept through deployment. The successful candidate will actively partner with scientific partners helping shape the technical direction of experimental automation in a fast-moving research environment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Actively contribute to hands-on development, testing, and implementation of automated workflows in the lab.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop scalable automated solutions for synthesis and characterization workflows, supporting a variety of material systems such as porous materials, catalysts, coatings, and advanced composites.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and document standardized laboratory workflows, operating procedures, and system architectures to support reproducibility and scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and participate in equipment- and system-level FMEAs to improve robustness and operational safety.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist in the troubleshooting and optimization of automated systems for throughput, reliability, and adaptability across diverse workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design failure detection methods and maintain laboratory automation systems to ensure robust operations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;\u0026lt;strong\u0026gt;Project Innovation\u0026lt;/strong\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Translate scientific objectives into well-scoped technical requirements and automation architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a connective tissue between science, hardware, controls, and software—ensuring interfaces are clear and solutions are cohesive.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Explore and integrate emerging technologies, such machine vision, and advanced sensors, to enhance automation capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure alignment of automation solutions with safety, quality, and regulatory standards.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong hands-on experience developing and scaling automated workflows in laboratory or industrial settings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of Python programming, including API integration and error handling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of CAD design and rapid prototyping, including 3D printing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with hardware systems, including electrical wiring, sensors, liquid/gas plumbing, and PID controllers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong critical thinking skills, attention to detail, and ability to work collaboratively in a dynamic environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and interpersonal skills, with the ability to convey technical concepts clearly to diverse audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with advanced experimental systems, including vacuum, laser, furnace, and electrochemical experimentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of machine vision applications and robotics control algorithms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to integrate hardware and controls systems with automation workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of AI-driven decision-making in research automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience leading technical teams in a fast-paced R\u0026amp;amp;D environment.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Working at Lila Sciences, you would have access to advanced technology in the areas of:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;AI experimental design and simulation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automated custom instrumentation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generative molecular and material design\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$118,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$182,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4116721009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4079361009,"location":{"name":"San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4116721009,"updated_at":"2026-05-14T17:07:29-04:00","requisition_id":"7313","title":"Senior Director, Cloud Security, Compliance Lead","company_name":"Lila Sciences","first_published":"2026-02-03T15:26:49-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Cloud Security \u0026amp;amp; Compliance Lead is responsible for the end-to-end security, governance, risk management, and regulatory compliance of Lila Sciences’ cloud environments and research workflows. You’ll own cloud security architecture, policy frameworks, data protection, and compliance programs across multi-cloud and on-premises contexts as appropriate. You’ll partner with Engineering, Data Science, IT, Legal, and Compliance to codify secure patterns, enable rapid yet safe experimentation, and maintain a robust governance program with auditable evidence for regulators and customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;Cloud Security Architecture \u0026amp;amp; Governance\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and maintain cloud security strategy, reference architectures, and security baselines for public cloud (AWS, Azure, GCP) and hybrid deployments.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement secure-by-default patterns for CI/CD is intentionally out of scope; focus on secure design patterns for cloud resources, data flows, and analytics.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish IAM least privilege, network segmentation, private endpoints, key/secret management, and centralized logging across AWS, Kubernetes (where applicable), and cloud-native services.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Governance, Compliance \u0026amp;amp; Risk Management\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop, implement, and continuously improve policies, standards, and procedures aligned to applicable frameworks (e.g., NIST CSF, NIST 800-53, FedRamp, ISO 27001, SOC 2, GDPR/CCPA).\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead data protection program: data classification, data minimization, data retention, and data lifecycle management; oversee DLP strategies where relevant.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage third-party risk assessments, vendor security questionnaires, and contract security annexes; maintain evidence for audits.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Security Controls \u0026amp;amp; Monitoring\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and oversee security controls across cloud resources, including identity, access management, encryption, key management, log collection, and telemetry.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with Security Operations to establish monitoring, alerting, incident response coordination, and evidence collection for audits.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Compliance \u0026amp;amp; Audit Readiness\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prepare for internal and external audits; map controls to frameworks and translate them into engineering artifacts and evidence.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain alignment with SOC 2, ISO 27001, and other regulatory requirements, coordinate with Legal and Privacy on data protection controls.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Data, ML/AI Security \u0026amp;amp; Privacy\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ensure secure data movement, storage, and access patterns; implement data lineage and isolation for training vs. inference in ML workflows.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Address privacy-by-design considerations in data science processes; oversee secure handling of sensitive datasets. • Collaboration \u0026amp;amp; Enablement\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Engineering, IT, Legal, and Commercial teams to ensure cohesive risk management.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide security training and awareness for engineering, data science, and product teams; translate security requirements into actionable tasks.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Evidence \u0026amp;amp; Documentation\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Create and maintain security documentation, runbooks, policies, and evidence packs suitable for audits and regulator requests.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Education: Bachelor’s degree in computer science, Information Security, Cybersecurity, Engineering, or related field. Masters preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience: 5–8+ years in cloud security, information security, or a related role; hands-on experience with cloud environments (AWS, Azure, GCP) and Kubernetes is a plus; experience in governance, risk, and compliance activities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Certifications: CISSP, CISM, CCSK, ISO 27001 Lead Auditor, SOC 2 Practitioner, or cloud security certifications are desirable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical Skills:\u0026amp;nbsp; Strong understanding of cloud architectures, IAM, encryption, KMS, secret management, data protection, and network security.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Kubernetes concepts and security considerations (RBAC, network policies, pod security standards) as they apply to governance and compliance contexts.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with policy frameworks and policy-as-code concepts (OPA, Kyverno, Checkov) for governance and automated compliance checks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of SBOMs, software supply chain concepts, artifact signing (Cosign/Sigstore), and SBOM generation.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with audit-ready control mapping, risk assessment, and remediation tracking.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Soft Skills: Excellent communication, stakeholder management, and the ability to translate complex security requirements into actionable business and engineering tasks.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with data-intensive research environments, HPC, or bioinformatics workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with privacy by design, data governance, and model governance in ML/AI contexts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior startup or high-growth experience enabling developer velocity with strong guardrails; knowledge of Sigstore/Cosign and SLSA concepts for software supply chain integrity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with at least one modern programming language (Python, Go, Rust, JavaScript) for automation or tooling.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$260,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$346,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4247007009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4144274009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4247007009,"updated_at":"2026-05-20T14:57:58-04:00","requisition_id":"8511","title":"Senior Director, IT Infrastructure and End User Experience","company_name":"Lila Sciences","first_published":"2026-05-20T14:57:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Senior Director, IT Infrastructure and End User Experience is a senior technology leader responsible for the strategy, design, delivery, and operation of the enterprise\u0026#39;s corporate IT infrastructure and the end-to-end employee computing experience. This role is the accountable owner for a broad IT portfolio spanning corporate networks, endpoints, identity, audio/visual systems, print infrastructure, and the full collaboration and productivity suite—including Microsoft 365, Google Workspace, Slack, Notion, and Zoom. Equally, this leader owns every stage of the end user technology lifecycle: onboarding, offboarding, birth-right access provisioning, service requests, helpdesk support, end-user enablement (hardware, software, accessories, training), AI enablement, and delivery of overall IT services. The goal is a secure, resilient, and modern technology environment that empowers employee productivity and business growth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Chief Information and Security Officer (CISO), the Senior Director leads a multi-disciplinary team of engineers, administrators, support professionals, service providers, and manages significant operational and capital budgets. The role partners closely with Business Systems, Cloud, Security, IT/OT Convergence, GRC, HR, and other business stakeholders to deliver a frictionless, consumer-grade digital workplace.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The successful candidate will balance operational excellence with continuous innovation—driving collaboration platform modernization, automation, AI enablement for the workforce, and Zero Trust principles—while keeping employees, performance, reliability, and compliance outcomes at the center of every decision.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Strategy \u0026amp;amp; Leadership\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and execute the multi-year roadmap for IT infrastructure and end user experience aligned to enterprise strategy, with measurable outcomes for reliability, performance, cost, and employee satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a trusted advisor to the CISO and executive leadership on infrastructure modernization, digital workplace transformation, and emerging technologies including AI and automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build, mentor, and retain a high-performing global organization; foster a culture of accountability, customer service, continuous improvement, and psychological safety.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and manage operating and capital budgets, vendor contracts, and total cost of ownership across the infrastructure and end user portfolio.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Infrastructure Operations\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the design, deployment, and operation of corporate IT infrastructure including compute, storage, virtualization, on-premises and co-location environments, and network (LAN/WAN/SD-WAN/Wi-Fi).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with the Cloud Security, Governance and Compliance leader to ensure seamless integration between corporate infrastructure, identity, and cloud platforms; cloud infrastructure strategy is owned by the Cloud leader.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 24x7 availability, performance, and capacity of mission-critical systems through robust monitoring, observability, incident, problem, and change management processes aligned to ITIL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead disaster recovery and business continuity planning for owned domains, including regular testing, documentation, and continuous improvement of recovery objectives.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;End User Experience \u0026amp;amp; Digital Workplace\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Employee technology lifecycle\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the full employee technology lifecycle from pre-hire to departure: device provisioning, role-based application and access setup, day-1 readiness, hardware refresh, and structured offboarding including access revocation and device recovery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and maintain a role-based technology catalog—standard hardware configurations, approved software bundles, and application entitlements by function and seniority—with provisioning automated to minimize time-to-productivity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Digital workplace strategy\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and deliver a modern digital workplace strategy for a hybrid workforce. Own endpoint engineering across Windows, macOS, iOS/Android, and shared/kiosk devices; enforce configuration baselines, security hardening, and full device lifecycle (procurement through retirement) via Intune, Jamf, or Addigy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the enterprise software and application catalog: evaluate, onboard, govern, and retire end-user applications in coordination with Security, Legal, and Finance. Maintain an approved-tools list and manage shadow IT risk.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Collaboration \u0026amp;amp; productivity platforms\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the strategy, administration, and continuous improvement of the full collaboration and productivity suite: Microsoft 365 / Office 365 (Exchange Online, Teams, SharePoint, OneDrive), Google Workspace (Gmail, Drive, Docs, Meet), Slack, Notion, and Zoom. Rationalize overlapping capabilities and maintain a clear tool-use policy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the Microsoft 365 to Google Workspace migration end to end: discovery, change management, data migration, identity integration, training, and post-migration optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own email security and compliance (anti-spam/phishing, archiving, legal hold, eDiscovery) and govern all third-party app integrations across the collaboration suite.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Meeting rooms, AV \u0026amp;amp; events\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the full meeting room and AV technology stack: conference room systems, video walls, digital signage, and hybrid meeting infrastructure. Define AV standards and reference architecture for new site buildouts; maintain a room health dashboard with proactive monitoring and SLA-driven incident response.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own event production support for large internal events (all-hands, town halls, leadership broadcasts), including technical planning, run-of-show coordination, and post-event review.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Service desk, deskside \u0026amp;amp; end-user support\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead the global IT service desk, deskside, and white-glove / VIP support functions. Establish SLAs and XLAs that reflect actual employee experience. Own ITIL-aligned incident and problem management end to end—triage through root cause—ensuring chronic issues reach permanent fix, not repeat resolution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design the support model for scale: tiered support (L1/L2/L3), managed service provider integration, and self-service deflection via an AI-powered virtual agent and employee-facing knowledge base. Use DEX telemetry (Nexthink, ControlUp, or equivalent) to remediate experience degradation proactively.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Experience quality \u0026amp;amp; continuous improvement\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own employee technology satisfaction as a tracked metric: CSAT/NPS on support interactions, DEX scores, and quarterly reporting to the CISO and executive stakeholders. Champion accessibility and inclusivity (WCAG / Section 508) across all employee-facing technology.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with HR and internal communications on change management for every platform migration or tool rollout; ensure employees are informed, trained, and supported throughout.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;AI Enablement for End Users\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and execute the strategy for AI enablement across the workforce, including evaluation, deployment, and adoption of enterprise AI assistants (e.g., Gemini for Workspace, Microsoft Copilot, Claude for Enterprise) and AI-powered productivity tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Security, Legal, and Privacy to establish responsible AI usage guardrails, data handling policies, and acceptable use standards for employee-facing AI tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive employee adoption through training, enablement programs, communities of practice, and measurable productivity outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Continuously evaluate the AI tooling landscape and recommend new capabilities that improve employee productivity, creativity, and decision making.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Security, Risk \u0026amp;amp; Compliance\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner directly with the CISO and Information Security organization to embed Zero Trust principles, identity and access management, endpoint security, patching, and vulnerability remediation into infrastructure and end user services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure compliance with applicable regulatory and contractual requirements (e.g., SOX, HIPAA, PCI-DSS, GDPR, SOC 2) and internal policies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify, assess, and mitigate operational and technology risks across the infrastructure and end user landscape.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Vendor, Financial \u0026amp;amp; Stakeholder Management\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage strategic relationships with key technology partners and managed service providers, including contract negotiation, performance governance, and renewal strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead financial planning, forecasting, and reporting for infrastructure and end user services; drive cost optimization and clear chargeback/showback transparency where appropriate.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build strong partnerships with HR, Real Estate/Workplace, Security, Finance, and business unit leaders to ensure technology enables workforce and growth strategies (M\u0026amp;amp;A integrations, new sites, workforce changes).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Required Experience \u0026amp;amp; Education\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or a related field; Master\u0026#39;s degree or MBA preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;12+ years of progressive IT experience, including 5+ years leading infrastructure and/or end user services organizations at a director level or above in a global or multi-site enterprise.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success leading large-scale transformations such as collaboration platform migrations (M365 ↔ Google Workspace), modern device management rollouts, Zero Trust adoption, or enterprise AI enablement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on, deep operational experience administering and optimizing both Microsoft 365 and Google Workspace at enterprise scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct experience leading or playing a senior role in a Microsoft 365 to Google Workspace migration, including mail, calendar, files, identity, and end user enablement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience managing global service desk operations, endpoint fleets at scale (1,000+ devices), and complex hybrid network and cloud environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong financial acumen with experience managing multi-million-dollar operating and capital budgets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of building, scaling, and leading geographically distributed teams, including hybrid in-house and managed service models.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Technical Expertise\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep knowledge of modern infrastructure: virtualization, networking, identity (Entra ID / Okta / AD), and observability platforms; working familiarity with cloud platforms (AWS / Azure / GCP) sufficient to partner effectively with the Cloud leader.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in end user computing: modern device management (Intune, Addigy, Jamf), Microsoft 365 and Google Workspace administration, VDI/DaaS, and digital experience monitoring (e.g., Nexthink, ControlUp, Aternity).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Practical experience deploying and governing enterprise AI tools for end users (e.g., Gemini for Workspace, Microsoft Copilot, or comparable assistants), including adoption, change management, and responsible-use guardrails.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong grounding in ITIL/ITSM practices and platforms (e.g., Freshservice), including incident, problem, change, asset, and knowledge management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with cybersecurity frameworks (NIST CSF, ISO 27001) and Zero Trust architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of automation, scripting, and AI/ML applications to IT operations and support (AIOps, virtual agents, copilots).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Leadership Competencies\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strategic thinker who can translate vision into executable roadmaps and measurable outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer-obsessed mindset with a relentless focus on improving the employee technology experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent executive communication skills—able to translate complex technical concepts for non-technical audiences and influence at the C-suite and board level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong change leader, comfortable navigating ambiguity and driving organizational transformation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborative, humble, and results-oriented, with high integrity and sound judgment under pressure.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Relevant certifications such as ITIL 4 Strategic Leader, Microsoft 365 Certified: Enterprise Administrator Expert, Google Workspace Administrator / Deployment Specialist, CISSP, or PMP.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in regulated industries (financial services, healthcare, life sciences, or similar).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting M\u0026amp;amp;A integrations and divestitures from an IT perspective.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Performance Indicators\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;System availability and performance against defined SLAs/SLOs for critical infrastructure and applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Employee experience metrics: digital experience scores, service desk CSAT/NPS, first-contact resolution, and mean time to resolve.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI enablement adoption: active usage of approved AI assistants, productivity outcomes, and adherence to responsible-use policies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Security and compliance posture: patch compliance, vulnerability remediation timelines, and audit findings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cost performance: budget adherence, unit cost trends, and realized savings from optimization initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Talent and organizational health: engagement scores, retention of key talent, and internal mobility.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Working Conditions\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Standard office/hybrid environment with periodic on-call responsibilities for major incidents.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel up to 20% to support global sites, data centers, vendors, and team locations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Occasional work outside standard business hours during major changes, incidents, or global meetings.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$272,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4029507009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4020991009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4029507009,"updated_at":"2026-05-14T17:07:09-04:00","requisition_id":"6388","title":"Senior / Engineer II, AI Lab Research Engineer","company_name":"Lila Sciences","first_published":"2025-10-06T13:24:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind\u0026#39;s greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  \u0026lt;a href=\u0026quot;http://www.lila.ai/\u0026quot;\u0026gt;www.lila.ai\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Agentic AI for science:\u0026lt;/strong\u0026gt; Systems that perform sequential decision‑making and multi‑step reasoning to solve domain‑specific problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Workflow/code generation:\u0026lt;/strong\u0026gt; From natural language intent to typed, executable steps for lab instruments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Evaluation \u0026amp;amp; reliability:\u0026lt;/strong\u0026gt; Benchmarks, test suites, and telemetry to measure capability and quantify progress toward scientific goals.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD or Masters in a quantitative discipline (e.g., Computer Science, Physics, Mathematics, Engineering) with a strong background in machine learning and one domain of science (e.g. biology or materials science).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong grasp of \u0026lt;strong\u0026gt;LLMs and agent architectures\u0026lt;/strong\u0026gt; (planning, tool use, structured function calling, code generation) and how to adapt them to domains.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in modern ML frameworks (e.g., PyTorch, TensorFlow, JAX) and experience implementing scalable solutions for complex tasks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort collaborating across disciplines and interfacing with simulations and real lab systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Building \u0026lt;strong\u0026gt;long‑horizon agents\u0026lt;/strong\u0026gt; or \u0026lt;strong\u0026gt;RL\u0026lt;/strong\u0026gt; for control/decision‑making; experience with model‑based or offline RL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Designing \u0026lt;strong\u0026gt;domain‑specific benchmarks\u0026lt;/strong\u0026gt; and evaluation harnesses for complex scientific tasks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Digital‑twin\u0026lt;/strong\u0026gt; development, calibration, and sim‑to‑real transfer.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Publications or open‑source contributions in AI for science (especially publications in top-tier conferences like NeurIPS, ICML, AAAI, ICLR).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;San Francisco, CA or Cambridge, MA (Hybrid and On-Site available depending on team needs).\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$148,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$240,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4011901009,"name":"AI","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4240297009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4140408009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4240297009,"updated_at":"2026-06-05T13:28:43-04:00","requisition_id":"7492","title":"Senior Engineer II / Staff Engineer, Electromechanical Technician","company_name":"Lila Sciences","first_published":"2026-05-14T10:30:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is seeking a Electromechanical Technician to join our Hardware \u0026amp;amp; Controls Engineering team. As an Electromechanical Technician at Lila, you will be the hands-on expert who turns innovative designs into reality. You’ll build, assemble, and troubleshoot custom automated instruments, workcells, and experimental equipment that advance frontier research in life and physical sciences. Your work will drive rapid prototyping, enable complex R\u0026amp;amp;D, and directly empower engineers, scientists, and automation specialists to translate their ideas into working solutions. You’ll play a critical role as the technical link between design and execution across cross-disciplinary teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Assemble, install, and calibrate custom electromechanical equipment and automated systems from 3D CAD models, blueprints, mechanical drawings, and electrical schematics provided by engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support engineers and scientists in rapid prototyping test stands, fixtures, and experimental setups, including mechanical assembly, light machine work (e.g., drill presses, chop saws), and hands-on fabrication.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform electrical wiring, cable routing, and component mounting for automation panels, instruments, and workcells—including sensors, actuators, control boards, and pneumatic components.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in integration, bring-up, and debugging of automation subsystems (mechanical, pneumatic, electrical, optical), working closely with controls and software engineers on system configuration and troubleshooting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute maintenance, repairs, upgrades, and alignments on complex equipment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide real-time feedback to engineering teams during builds regarding design issues or opportunities for improvement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain up-to-date documentation on builds, repairs, troubleshooting, and component history.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure safe working conditions and adherence to lab and industry standards during all fabrication, assembly, and testing.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Associate’s degree in electro-mechanical technology, mechatronics, industrial maintenance, or related field — or military technical training/vocational certification.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced skill with mechanical assembly and electrical diagnostic work, including use of mechanical hand tools, measuring equipment (calipers, gauges), multimeters, and basic machine tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to read, interpret, and work precisely from 3D CAD models, mechanical drawings, and 2D electrical schematics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with PLCs (e.g., Allen-Bradley, Siemens, Beckhoff), motor controllers, actuators, sensors, and industrial automation components.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in assembly and troubleshooting of electrical/cable, pneumatic, fluid, or thermal systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Practical knowledge of industry safety procedures and compliance requirements (e.g., electrical code, LOTO, OSHA).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical/troubleshooting ability; highly adaptable in fast-paced, rapidly evolving environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear, practical communicator who collaborates effectively with multiple engineering domains.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent time management, able to take initiative and juggle multiple projects or tasks with minimal supervision.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience supporting highly interdisciplinary R\u0026amp;amp;D teams: building or modifying prototypes across mechanical, controls, and software domains.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with 3D CAD modeling or editing (SolidWorks strongly preferred; other platforms welcome).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AutoCAD, or tools for drafting/wiring electrical schematics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience assembling control panels, wiring PLCs, or working at the panel/component level in automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with digital maintenance or documentation tools (CMMS, ERP, Kanban, Wikis).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;4+ years in an automation, manufacturing, robotics, or laboratory environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Certifications: CMRT, OSHA 10/30, PLC programming, or other industry-relevant credentials.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a cleanroom, laboratory automation, or regulated R\u0026amp;amp;D context.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer or vendor-facing experience for component sourcing, fabrication, or troubleshooting.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$136,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$217,866 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4156896009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4095927009,"location":{"name":"San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4156896009,"updated_at":"2026-05-14T17:07:33-04:00","requisition_id":"7367","title":"Senior / Lead Technical Recruiter ","company_name":"Lila Sciences","first_published":"2026-02-27T11:17:14-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;Lila is building at the frontier of AI-driven science, and the quality of our team is the most important variable in our success. As a Senior/Lead Technical Recruiter, you will own full-cycle recruiting for our engineering and AI/ML research roles, building the pipelines and relationships that bring exceptional technical talent to Lila. You will partner closely with hiring managers and the broader Talent Acquisition team to maintain a high bar across our most critical technical disciplines.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;The right person is deeply curious about highly technical fields, well-networked in engineering and AI/ML talent communities, and committed to delivering a rigorous, high-touch candidate experience. You operate with strong ownership and are motivated by the craft of finding and closing exceptional people.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Own full-cycle recruiting for software engineering and AI/ML research roles, from intake through close\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Build and maintain a high-quality pipeline of technical talent through proactive sourcing across a range of channels, including professional networks, technical communities, and direct outreach\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Partner with hiring managers to design effective interview processes and develop role-specific sourcing and closing strategies\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Develop compelling narratives for technical audiences — communicating why Lila, why now, and why this role — and refine messaging based on market feedback\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Contribute to the development and adoption of AI-powered recruiting tools and sourcing methodologies that raise the team\u0026#39;s overall effectiveness\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Maintain operational rigor across pipeline tracking, stage hygiene, candidate communications, and reporting\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;3+ years of full-cycle recruiting experience, with a strong track record in highly technical or specialized environments (in-house, agency, or a mix)\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Demonstrated success recruiting for software engineers and AI/ML research profiles, including research engineers and applied scientists\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Experience sourcing talent through a range of channels beyond conventional databases, including technical communities and professional networks\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Strong candidate relationship management skills, with the ability to run a high-touch process across multiple roles simultaneously\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Familiarity with AI-powered recruiting tools or a demonstrated appetite for building and adopting new sourcing methodologies\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;High ownership and operational discipline in a fast-moving environment\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Demonstrated commitment to inclusive hiring practices\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Genuine curiosity about Lila\u0026#39;s mission of accelerating scientific discovery through AI\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Experience recruiting for research-heavy or frontier AI organizations, or similarly high-bar technical environments\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Familiarity with the talent landscape in AI, biotech, or deep tech\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Experience building community presence or networks within technical talent markets\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$100,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$158,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4207902009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4121615009,"location":{"name":"San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4207902009,"updated_at":"2026-05-19T14:48:31-04:00","requisition_id":"7444","title":"Senior Manager, Human Resources","company_name":"Lila Sciences","first_published":"2026-04-06T14:29:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is looking for a Senior HR Manager to join the HRBP team and serve as a trusted people partner to assigned managers and client groups at our San Francisco office. You will lead execution of core people programs, advise managers on employee relations and team effectiveness, and help build a strong, consistent culture as the organization scales. You bring enough experience to work with meaningful independence and to start shaping how HR programs operate on the ground — with room to grow into a broader strategic advisory capacity over time.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with assigned managers to provide hands-on HR guidance on talent management, employee relations, performance management, and team effectiveness\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coach managers on people leadership, navigating difficult conversations, and developing their teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead execution of core HR programs including performance review cycles, compensation planning, and engagement initiatives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the on-site HR presence for the SF office, supporting employee-facing touchpoints including onboarding, offboarding, and in-person HR needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage operational HR processes specific to the California office\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify trends in people data and employee feedback to surface insights and recommend action\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with HR, Legal, and Finance to ensure consistency and compliance across people processes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the continuous improvement of people programs and processes as the HR function matures\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7–9 years of progressive HR experience, with at least 3 years in an HRBP, HR generalist, or client-facing HR role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience handling HR operational tasks including onboarding administration, I-9 compliance, and new hire processes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to build trusted relationships with managers and leaders across an organization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of core HR disciplines including performance management and employment law fundamentals, with familiarity with California employment law a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience coaching managers through complex or sensitive people situations with minimal oversight\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort operating in a fast-paced, evolving environment where priorities shift quickly\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong judgment and discretion when handling confidential matters\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work 3 days per week onsite at our San Francisco, CA location\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting technical or scientific organizations, particularly in biotech, AI, or deeptech\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with HRIS and people tools such as HiBob, Udemy, Greenhouse, or similar platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in organizational development, change management, or culture-building initiatives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a startup or high-growth company where HR processes and infrastructure were still being built\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort using AI tools to improve and scale people processes and programs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$140,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$172,667 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013379009,"name":"Corporate Development","child_ids":[],"parent_id":null}],"offices":[{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4222034009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4129777009,"location":{"name":"San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4222034009,"updated_at":"2026-05-14T17:07:42-04:00","requisition_id":"7467","title":"Senior / Principal ML Scientist, Foundation Models for Life Sciences","company_name":"Lila Sciences","first_published":"2026-04-27T17:00:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), the Foundation Models team researches and develops large-scale generative models and reasoning frameworks that power automated scientific discovery across Lila\u0026#39;s life science domains.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Principal or Senior Principal Scientist to join this team as a core contributor. You will define and drive research at the intersection of state-of-the-art machine learning and life science data, spanning biological sequences, molecular structures, and multimodal experimental data. As part of a dynamic team, you will design and implement foundational models end to end, from problem formulation and architecture through training at scale, evaluation, and integration into Lila\u0026#39;s closed-loop discovery engine.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-impact IC role for someone who operates at the frontier of generative AI applied to biology. You will shape the technical agenda for foundation model research, collaborate closely with experimental scientists to close the computational-experimental loop, and represent Lila\u0026#39;s work to the broader scientific community.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive research on foundation models for life science applications, including but not limited to biological sequence design, structure prediction, and multimodal scientific reasoning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design, train, and evaluate large-scale generative models on biological and chemical data, integrating domain-specific constraints and priors\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the end-to-end ML process within Lila\u0026#39;s \u0026quot;Lab-in-the-Loop\u0026quot; lifecycle: steer data generation strategy, build pipeline models, and design feedback loops where experimental results improve model performance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate complex biological questions into well-defined ML problems and interpret model outputs in collaboration with wet-lab scientists and computational biologists\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advance research standards and methodology within the foundation models program, contributing insights that influence approaches across adjacent teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Lila\u0026#39;s foundation model research externally through publications at premier venues, conference presentations, and community engagement\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in Computer Science, Machine Learning, Computational Biology, or a related quantitative field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Multiple high-impact first-author or senior-author publications at premier venues (NeurIPS, ICML, ICLR, Nature Methods, Nature Biotechnology, or equivalent)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in large-scale generative model architectures and training, with hands-on experience training models on distributed infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to formulate and drive research programs independently, from problem definition through publication and deployment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency across ML and at least one life science domain (molecular biology, genomics, protein engineering, nucleic acid design, or related), with experience designing computational experiments grounded in biological reality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong track record of cross-functional collaboration with experimental scientists, translating between ML and biology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in ML frameworks (PyTorch, JAX, or TensorFlow) and experience with large-scale distributed training infrastructure (AWS, GCP, or on-prem clusters)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in computational protein design, particularly antibody and nanobody engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing biological sequences or molecular structures with demonstrated wet-lab validation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source ML tools, frameworks, or benchmark datasets for scientific applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with agentic frameworks or active learning loops in scientific contexts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High-impact publications or open‑source contributions in AI for Science in relevant venues (NeurIPS, ICML, ICLR, AAAAI, Nature Methods, Nature Biotechnology, or equivalent)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$268,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$384,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4011901009,"name":"AI","child_ids":[],"parent_id":null}],"offices":[{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4237298009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4138648009,"location":{"name":"San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4237298009,"updated_at":"2026-05-14T17:07:44-04:00","requisition_id":"7487","title":"Senior / Principal Scientist, AI for Protein Engineering","company_name":"Lila Sciences","first_published":"2026-05-04T13:43:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Sciences AI (LSAI), the AI for Protein Engineering team develops and uses the generative and predictive models that drive Lila\u0026#39;s biomolecule design programs from in silico hypothesis to wet-lab validated lead.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Senior or Principal Scientist to join this team as a senior IC focused on antibody design and engineering. You will develop and execute the methods and workflows that ensure successful completion of antibody campaigns. Scope may expand to additional modalities such as enzymes and peptides as needs evolve.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role sits at the bilingual edge of ML and biology. You will own biological understanding of campaign needs and partner closely with the Life Science Research team to design and validate computational predictions in the lab. You will shape the technical agenda for AI protein engineering at Lila and represent that work both internally and to the broader research community.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop and own protein design and engineering workflows for antibody campaigns, including de novo design, affinity maturation, and developability optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute design workflows end-to-end for active campaigns and deliver wet-lab-validated leads against program milestones\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate campaign requirements — epitope selection, affinity targets, biophysical constraints, and developability criteria — into well-defined ML problems and design specifications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Adapt and extend state-of-the-art AI methods (generative models, protein language models, structure-conditioned design) to the specific demands of antibody and broader biomolecule engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the Life Science Research team on design validation, building active learning loops where wet-lab data refines and improves model performance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand the protein engineering platform to additional modalities such as enzymes and peptides as needs evolve\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in Computational Biology, Computer Science, Machine Learning, Biophysics, or a related quantitative field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of successful design of wet-lab-validated biomolecules through AI, with industry experience strongly preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep ML expertise with the ability to modify and adapt state-of-the-art AI approaches for protein engineering, not just apply them off-the-shelf\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong fluency across both ML and protein biology, with hands-on understanding of antibody design\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to drive a research and engineering program independently, from problem definition through experimental validation and iteration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of close collaboration with experimental scientists and clear communication across the ML/biology boundary\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Direct experience designing antibodies, nanobodies, or other therapeutic proteins for clinical or therapeutic pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with structure prediction, generative protein design (diffusion, flow-matching, or similar), and protein language models in a production research setting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in structural biology and conformational dynamics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience extending design methods to additional modalities such as enzymes, peptides, or other engineered biomolecules\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High-impact publications or open-source contributions in AI for Science (NeurIPS, ICML, ICLR, Nature Methods, Nature Biotechnology, or equivalent)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing or operating active learning loops between computational design and high-throughput experimental validation\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$268,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$358,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4011901009,"name":"AI","child_ids":[],"parent_id":null}],"offices":[{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4265624009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155267009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4265624009,"updated_at":"2026-06-04T14:47:46-04:00","requisition_id":"8536","title":"Senior Research Associate, Antibody Display","company_name":"Lila Sciences","first_published":"2026-06-04T14:47:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring a Senior Research Associate to support development and execution of display workflows to determine the binding, stability, and function of antibodies and other biologics. The role will develop and execute assays to generate highly multiplexed, high-dimensional datasets, and will continually optimize those assays to improve precision, scope, reliability, and speed. You will collaborate with synthetic biologists, automation engineers, and others to make these assays automation-ready.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role partners across cell biology, protein design, and nucleic acid teams to support biologic development programs and the development of scientific super intelligence.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Support development of in vitro and in vivo display workflows to determine the binding, stability, and function of antibodies and other biologics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement display workflows to support antibody and biologic development programs and to generate novel high-dimensional datasets that advance scientific super intelligence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with protein design, nucleic acid, protein, and automation teams to create highly precise and complex libraries of protein designs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Utilize MACS and FACS for the selection of biologics with desired properties.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Closed-loop experimentation and execution:\u0026lt;/strong\u0026gt; partner closely with engineering and automation to design and exercise platforms for automated, high-throughput experimentation and data-rich workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaborate, lead, and communicate:\u0026lt;/strong\u0026gt; work with cell biologists, synthetic biologists, automation engineers, protein design scientists, and data scientists to document systems, share insights, and refine best practices in autonomous science.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;MSc in Molecular Biology, Biotechnology, or a related field with 1+ year of experience, or BSc with 3+ years, developing antibodies or peptides using display-based methods (in vitro or yeast display).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise using pooled display assays in antibody development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience selecting antibodies using yeast or in vitro (mRNA/ribosome/cDNA) display techniques.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience culturing yeast, bacteria, or phage and expressing proteins for display.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise with molecular biology techniques (in vitro transcription and translation, PCR, bead-based selections and purifications, reverse transcription, library cloning, sequencing library construction for NGS).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with magnetic bead-based purification and selections.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with flow cytometry and sorting yeast using FACS.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with novel assay development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with analysis of NGS sequencing data supporting display campaigns.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience operating Illumina sequencers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with single cell or in situ sequencing.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$80,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$102,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null},{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4246980009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4144257009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4246980009,"updated_at":"2026-05-26T11:42:23-04:00","requisition_id":"8510","title":"Senior Research Associate/Associate Scientist, Platform Scientist","company_name":"Lila Sciences","first_published":"2026-05-26T11:42:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Research Associate / Scientist on the Platform Science team within Lila\u0026#39;s Autonomous Science Platform, your work will directly contribute to building Lila\u0026#39;s next-generation, AI-driven research capabilities. You will have the opportunity to pioneer novel automated instruments centered around advanced processing and characterization of solid state materials — at the critical intersection of hardware, software, and scientific inquiry.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is a unique blend of hands-on engineering and scientific investigation, where you will prototype, automate, and validate the platforms that will define the lab of the future. You will operate across a broad set of disciplines, working closely with the vacuum synthesis, platform science, and characterization teams to build tools that dramatically accelerate the pace of scientific discovery and support active research campaigns across multiple initiatives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, construct, and integrate novel automated experimental platforms with a material emphasis on solid state synthesis and novel processing methods, working in close collaboration with the vacuum synthesis, platform, and characterization teams to align on system requirements and share technical knowledge.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work hands-on to integrate hardware components, including optics, robotics, and sensors, into a cohesive, automated workflow.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop end-to-end software stacks from instrument control to data stewardship and integration with downstream models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze instrument data to validate system performance, troubleshoot issues, and support research initiatives designed to establish and expand the capabilities of new platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collect, document, and interpret experimental data across active research campaigns, ensuring data quality and traceability in support of platform and scientific objectives.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Masters or Bachelors in Physics, Engineering, Chemistry, Materials Science, or a related field, or Bachelors with equivalent industry experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building automated instrumentation, including both hardware integration and software control.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in a programming language used for instrument control and data analysis (Python, C#).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundational knowledge in engineering principles, including optics, electronics, and/or mechanical design.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with the operation and safety protocols of Class 4 laser systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with vacuum-based synthesis techniques such as physical vapor deposition, sputtering, or pulsed laser deposition.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with solid state materials characterization methods (e.g., XRD, SEM, optical microscopy).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An inventive, problem-solving mindset with a passion for building new things and tackling open-ended challenges.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A safety-focused approach with strong communication and teamwork skills across multidisciplinary environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$80,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$118,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4182443009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4105625009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4182443009,"updated_at":"2026-05-14T17:07:35-04:00","requisition_id":"7397","title":"Senior Research Associate / Associate Scientist, Targeted LNP Delivery","company_name":"Lila Sciences","first_published":"2026-03-25T21:56:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a (Senior) Research Associate to join our Life Sciences team. This role will focus on formulating lipid nanoparticles (LNPs), functionalizing them with targeting ligands, and characterizing the resulting targeted LNPs (tLNPs). The ideal candidate will have hands-on expertise in LNP formulation and characterization, bioconjugation, protein characterization, and automation technologies. Your work will unlock new understandings in the delivery space by enabling a high-throughput closed-loop screening cascade for tLNPs. This position will work closely with others across the protein, cell biology, automation, chemistry machine learning, and data science teams to help establish high-throughput next-generation tools for targeted nucleic acid delivery.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, execute, and characterize (DLS, ribogreen, TNS, etc.) LNP formulations across multiple scales and mixing modalities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and refine high-throughput ligand conjugation and purification methods, employing automation and robotics to increase throughput\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cell assay and antibody specialists to screen hits across a variety of tissue targets in \u0026lt;em\u0026gt;in vivo\u0026lt;/em\u0026gt; models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with chemists, biologists, engineers, and data scientists to document systems, share insights, and refine best practices in autonomous flow chemistry\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Write, implement, and maintain Standard Operating Procedures (SOPs) for both existing and new lab processes\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;MSc in Chemical Engineering, Biomedical Engineering, Pharmaceutical Sciences, or a related field with 3+ years, or BSc with 5+ years, of hands-on experience in targeted LNP production, or related experience. Industry experience strongly preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong working knowledge of bioanalytical techniques (e.g., DLS, fluorescence spectroscopy, electrophoresis, in vitro assays)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with protein and antibody design and characterization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with automation and high-throughput workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent troubleshooting, communication and collaboration skills, with a proven ability to work effectively across interdisciplinary teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$80,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$118,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4254693009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4148915009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4254693009,"updated_at":"2026-06-05T17:46:30-04:00","requisition_id":"8525","title":"Senior Research Associate , Automated Chemistry","company_name":"Lila Sciences","first_published":"2026-06-01T10:02:15-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a motivated and detail-oriented Sr. RA/\u0026lt;strong\u0026gt;Associate Scientist\u0026lt;/strong\u0026gt; to join our high-throughput Chemistry team. In this role, you will focus on hands-on high throughput experimentation, running automated platforms such as Chemspeed\u0026amp;nbsp;robotic chemical workstations, performing high temp+pressure reactions and product screening\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will gain hands-on experience with state-of-the-art automation technologies while contributing directly to projects that drive our company’s growth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an excellent opportunity for candidates excited to learn engineering principles, work with advanced laboratory automation, and develop a strong foundation in scientific operations in a dynamic environment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Perform chemical synthesis of small molecules in an automated platform conducting high throughput experimentation under conditions such as high temperature, high pressure conditions, work under inert environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Carry out design-build-test DOE protocols for automated chemical synthesis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and deploy integrated workflows and automation engineering solutions to expedite the transition from hit identification to lead optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Handling of chemicals (solvents, organics), air sensitive materials, rapid liquid and solid dispensing using automated techniques\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare reagents, solutions/electrolytes , samples, and consumables to ensure seamless continuation of experiments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deploy engineering skills for troubleshooting instrument/automation errors, follow detailed standard operating procedures (SOPs) to ensure accuracy, reproducibility, and throughput\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Monitor workflow performance, troubleshoot common issues, and escalate when necessary to ensure continuity between shifts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Record, organize, and maintain experimental data with high attention to detail\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify opportunities to improve efficiency and streamline processes across shift operations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flag unusual features or results for scientist review\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with scientists and engineers to support diverse projects across life sciences and physical sciences\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s or MS degree in Chemistry, Physics, Chemical/Materials Engineering, or a related field (or equivalent laboratory experience)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Attention to detail and strong organizational skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;gt;1 year of experience with bench top and wet lab environments in an industrial setting with high throughout performing: pipetting, chemical handling, solution and sample preparation, high temperature annealing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands on experience synthesizing small molecules, automation familiarity, data handling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working and disposing of acids and bases, synthesis in fume hoods and glovebox conditions, and handling organics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Curiosity to learn new skills and techniques relevant to materials science\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Additional familiarity with nanoparticles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in high-throughput production environments with a focus on scalability, efficiency, and accuracy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Basic engineering skills for troubleshooting synthesis tools such as centrifuge, annealers, chemical handler robots, glove box\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with automated workflows and techniques to operate and generate custom scripts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$80,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$118,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4192713009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4113425009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4192713009,"updated_at":"2026-05-14T17:07:37-04:00","requisition_id":"7415","title":"Senior Scientist, Analytical Chemistry","company_name":"Lila Sciences","first_published":"2026-03-25T14:43:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The \u0026lt;strong\u0026gt;Senior Scientist, Analytical Chemistry\u0026lt;/strong\u0026gt; will develop and deploy advanced analytical and characterization strategies to support \u0026lt;strong\u0026gt;Discovery Chemistry efforts\u0026lt;/strong\u0026gt; across Lila’s platform, with a focus on enabling the rapid design, synthesis, screening, and optimization of \u0026lt;strong\u0026gt;small molecules\u0026lt;/strong\u0026gt; and related molecular matter. This scientist will play a key role in generating high-quality, information-rich experimental data that informs chemistry decisions and accelerates platform learning.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Working closely with Discovery Chemistry, automation, AI/computational, and screening teams, this role will establish and scale \u0026lt;strong\u0026gt;multimodal characterization workflows\u0026lt;/strong\u0026gt; that go beyond traditional analytical chemistry approaches. The Senior Scientist will help build an integrated analytical capability spanning compound characterization, reaction monitoring, molecular profiling, and high-throughput data generation to support fast and iterative design–make–test–analyze cycles.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role will be critical to shaping Lila’s next-generation discovery engine by combining deep expertise in analytical chemistry with high-throughput experimentation, multimodal data generation, AI-enabled workflows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop, optimize, and implement analytical and multimodal characterization workflows to support Discovery Chemistry programs and molecular discovery campaigns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the design, synthesis, screening, and optimization of small molecules by delivering rapid, reliable, and information-rich analytical data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead analytical method development for compound identification, purity assessment, impurity profiling, reaction monitoring, and molecular characterization using techniques such as liquid chromatography, mass spectroscopy, NMR, and complementary orthogonal methods.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build characterization strategies that extend \u0026lt;strong\u0026gt;beyond traditional analytical methods\u0026lt;/strong\u0026gt;, incorporating multimodal measurements that provide deeper insight into molecular identity, reaction outcomes, physicochemical properties, and structure–function relationships.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with Discovery Chemistry and screening teams to support \u0026lt;strong\u0026gt;high-throughput screening and high-throughput experimentation workflows\u0026lt;/strong\u0026gt;, including rapid sample analysis, reaction triage, and compound profiling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with automation and platform teams to integrate analytical instrumentation and data pipelines into robotics-enabled and scalable discovery workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with AI and computational teams to ensure analytical datasets are structured, interoperable, and useful for model development, closed-loop learning, and iterative molecule design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish robust workflows for reaction monitoring, in-process analytics, final compound quality assessment, and characterization of complex mixtures or intermediates.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Troubleshoot analytical and characterization challenges related to sample preparation, instrumentation, method robustness, data interpretation, and workflow integration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the development of platform-level capabilities for data-rich molecular discovery, including scalable characterization pipelines, method standardization, and best practices for analytical rigor.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in Analytical Chemistry, Organic Chemistry, Pharmaceutical Sciences, Chemical Biology, or a related scientific discipline with \u0026lt;strong\u0026gt;5–8+ years\u0026lt;/strong\u0026gt; of relevant industry or high-performance research experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in analytical chemistry and molecular characterization in support of chemistry-driven discovery efforts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong hands-on experience with key analytical techniques for small molecule analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience developing analytical methods for compound characterization, reaction monitoring, impurity analysis, and purity assessment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting Discovery Chemistry, medicinal chemistry, synthetic chemistry, or other molecule-focused R\u0026amp;amp;D environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of how analytical data informs compound progression, screening decisions, reaction optimization, and molecular design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with or supporting \u0026lt;strong\u0026gt;high-throughput workflows\u0026lt;/strong\u0026gt;, including rapid analytical turnaround in fast-paced research settings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to solve complex analytical problems independently and work effectively across interdisciplinary teams spanning chemistry, screening, automation, and computational sciences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong documentation, communication, and data interpretation skills, with a commitment to rigor, reproducibility, and scientific quality.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with \u0026lt;strong\u0026gt;multimodal characterization\u0026lt;/strong\u0026gt; approaches that combine orthogonal measurements to generate deeper insight into molecular systems and discovery workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting \u0026lt;strong\u0026gt;high-throughput screening\u0026lt;/strong\u0026gt;, reaction screening, or automated discovery platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with analytical workflows integrated with robotics, liquid handlers, autosamplers, or other automation-enabled laboratory systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in \u0026lt;strong\u0026gt;AI-enabled\u0026lt;/strong\u0026gt; or highly data-driven R\u0026amp;amp;D environments where experimental data is used to drive predictive modeling or closed-loop optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of characterization approaches that extend beyond traditional compound QC, including molecular profiling, reaction analytics, and property-focused measurements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with data systems such as ELNs, LIMS, and software tools used to manage and analyze large analytical datasets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to operate effectively in a fast-moving, innovative environment with evolving platform needs and cross-functional priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong scientific curiosity and interest in building next-generation analytical capabilities for molecular discovery.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$148,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$198,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4248410009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145187009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4248410009,"updated_at":"2026-05-18T10:27:07-04:00","requisition_id":"8513","title":"Senior Simulation Engineer I/II, Robotics","company_name":"Lila Sciences","first_published":"2026-05-18T10:27:07-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building autonomous science platforms that compress the cycle time of scientific discovery. The Next Gen Robotics team, within the Robotics department, is building the foundational simulation and robotic infrastructure that will power the AI Science Factory (AISF) at our 5AP facility. As we ramp toward first science later this year, simulation is becoming a load-bearing capability across both robotics production and orchestration.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Simulation Engineer to help establish the foundation of our simulation platform. You will be a core technical contributor shaping how we design, build, and scale virtual environments — from individual scene authoring to automated, headless data generation pipelines. You will work across the full simulation stack: scene infrastructure, physics and sensor fidelity, programmatic scene construction, and sim-to-real transfer workflows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-impact, foundational role on a team being built from the ground up. You will have significant influence over tooling decisions, architectural patterns, and best practices, and your work will directly de-risk robotics development and accelerate throughput modeling for orchestration.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and maintain modular, reusable simulation scene libraries using well-structured USD (Universal Scene Description), including proper use of references, payloads, variants, layers, and composition arcs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build Python-based tooling and automation around the Omniverse Kit API (\u0026lt;code\u0026gt;omni.usd\u0026lt;/code\u0026gt;, \u0026lt;code\u0026gt;omni.kit\u0026lt;/code\u0026gt;, \u0026lt;code\u0026gt;omni.replicator\u0026lt;/code\u0026gt;) to enable programmatic scene construction, editing, and batch processing, including headless Isaac Sim workflows for large-scale automated simulation runs and synthetic data generation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to internal simulation SDKs, APIs, and developer tools that allow other engineers to build on top of the simulation platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prototype and evaluate new simulation techniques, including physics calibration, sensor modeling, environment generation, and GPU-accelerated motion planning (e.g., cuRobo) for inverse kinematics and collision-aware trajectory generation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement domain randomization strategies (appearance, physics, lighting, sensor noise) using NVIDIA Replicator, and build tooling to evaluate and benchmark sim-to-real performance across configurations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with ML and robotics teams to characterize and reduce the sim-to-real gap, including physics parameter tuning, contact modeling, and sensor simulation fidelity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3–5 years of hands-on experience in simulation engineering, robotics software, or a closely related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with NVIDIA Isaac Sim and the Omniverse Kit framework, including Python scripting via the Omniverse API (\u0026lt;code\u0026gt;omni.usd\u0026lt;/code\u0026gt;, \u0026lt;code\u0026gt;omni.kit.app\u0026lt;/code\u0026gt;, \u0026lt;code\u0026gt;omni.physx\u0026lt;/code\u0026gt;).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of USD (Universal Scene Description), including authoring modular scenes with references, payloads, variants, sublayers, and composition arcs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with robot kinematics concepts (forward/inverse kinematics, motion planning, joint control) and implementing them programmatically in a simulation environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong Python skills; comfort writing clean, maintainable, production-quality code.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with physics simulation concepts (rigid body dynamics, contact/friction modeling, articulations).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience running Isaac Sim in headless mode for automated, script-driven simulation workflows, and with distributed or cloud-based simulation workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cuRobo or similar GPU-accelerated motion generation libraries (CUDA-based trajectory optimization, batched IK), and motion planning frameworks like MoveIt2 or OMPL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with NVIDIA Replicator for synthetic data generation and domain randomization, OmniGraph for node-based compute, and Isaac Lab for RL-based training environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with ROS/ROS2 and sensor simulation (cameras, depth, LiDAR), including real-to-sim workflows (photogrammetry, NeRF, CAD asset pipelines).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;C++ experience relevant to simulation extensions or performance-critical tooling.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$144,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$240,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4040086009,"name":"Robotics","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4248042009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4144933009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4248042009,"updated_at":"2026-05-26T12:55:46-04:00","requisition_id":"7504","title":"Senior Software Engineer, App","company_name":"Lila Sciences","first_published":"2026-05-26T12:55:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt; \u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Scientists shouldn\u0026#39;t have to context-switch between a dozen tools to go from hypothesis to result. We\u0026#39;re building the platform that makes this a reality — and we need engineers who want to solve problems no one has solved before.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring Sr Principal / Principal Software Engineers to design the agents, interfaces, and platform integrations that let researchers seamlessly collaborate with AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About The Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Application Team sits at the center of LILA — the integration point where Machine Learning, Life Sciences, Physical Sciences, and Software become one AI-native experience that carries a scientist from hypothesis to experiment to breakthrough results.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;AI isn\u0026#39;t a feature here — it\u0026#39;s the architecture. Agent frameworks, tools, and LLM orchestration are core primitives, not bolt-ons.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The problems are genuinely hard. Connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs means inventing patterns, not copying them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;ll learn domains you never expected. Working shoulder-to-shoulder with lab scientists and ML engineers means your technical surface area grows fast.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;ll ship things that matter. The tools you build accelerate research timelines from months to days.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;If you want to build at the intersection of AI and science, move fast without breaking trust, and grow into the kind of engineer who can architect systems that don\u0026#39;t exist yet — we want to talk.\u0026lt;/p\u0026gt;\n\u0026lt;hr\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design \u0026amp;amp; Build UI and APIs:\u0026lt;/strong\u0026gt; Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Database Architecture \u0026amp;amp; Scaling:\u0026lt;/strong\u0026gt; Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Application Development:\u0026lt;/strong\u0026gt; Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance \u0026amp;amp; Reliability:\u0026lt;/strong\u0026gt; Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; Infrastructure:\u0026lt;/strong\u0026gt; Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Collaboration:\u0026lt;/strong\u0026gt; Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need To Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bachelor’s or Master’s degree\u0026lt;/strong\u0026gt; in Computer Science, Engineering, or related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;5-8+ years of engineering experience\u0026lt;/strong\u0026gt; building and deploying large-scale systems in production. You must be strong in backend.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Full Stack Development\u0026lt;/strong\u0026gt;: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands on experience using AI coding assistants to drive productivity is required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication \u0026amp;amp; Collaboration\u0026lt;/strong\u0026gt;: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Problem Solving\u0026lt;/strong\u0026gt;: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Applied AI Engineering:\u0026lt;/strong\u0026gt; Experience building with AI agents, graph-based workflows, tool-use protocols (MCP), RAG pipelines, or LLM orchestration frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; DevOps Knowledge:\u0026lt;/strong\u0026gt; Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience with ORMs:\u0026lt;/strong\u0026gt; Experience with and web services for CRUD services (SQLModel, FastAPI, Django).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestration Systems:\u0026lt;/strong\u0026gt; Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Familiarity with Python for Science\u0026lt;/strong\u0026gt;: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Domain Background:\u0026lt;/strong\u0026gt; Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with laboratory devices, robotics, or hardware drivers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$144,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$240,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null},{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4031455009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4022258009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4031455009,"updated_at":"2026-05-14T17:07:14-04:00","requisition_id":"7079","title":"Senior Software Engineer, Applied AI","company_name":"Lila Sciences","first_published":"2025-10-06T14:06:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a \u0026lt;strong\u0026gt;Senior Software Engineer\u0026lt;/strong\u0026gt; to join our Applied AI group and help build the next generation of our AI-driven scientific platform. In this role, you will design and optimize the backend systems, data pipelines, and AI integrations that power intelligent, data-driven applications. You’ll work at the intersection of backend engineering and machine learning, ensuring our platform seamlessly scales and supports cutting-edge applied AI techniques such as Retrieval-Augmented Generation (RAG), agentic AI, and large language model (LLM) integration.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is ideal for someone who thrives in bridging software engineering and applied AI—turning research into production-grade systems that drive real-world scientific discovery. If you are passionate about building performant, elegant systems that make AI useful and impactful, we would love to hear from you!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Applied AI Integration:\u0026lt;/strong\u0026gt; Design and deploy backend services and data pipelines that directly support advanced AI applications, including LLMs, RAG, and agentic frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;API \u0026amp;amp; Service Development:\u0026lt;/strong\u0026gt; Build high-performance APIs and microservices that enable seamless integration between AI models, scientific tools, and user-facing applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data Pipeline Architecture:\u0026lt;/strong\u0026gt; Architect and manage scalable pipelines capable of handling structured, unstructured, and vectorized data for AI/ML workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Database \u0026amp;amp; Knowledge Systems:\u0026lt;/strong\u0026gt; Implement and optimize SQL, NoSQL, and vector databases to support low-latency AI retrieval and inference workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; Infrastructure:\u0026lt;/strong\u0026gt; Leverage AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to build robust, production-ready AI platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance \u0026amp;amp; Reliability:\u0026lt;/strong\u0026gt; Diagnose system bottlenecks, optimize for cost and speed, and ensure the reliability and fault-tolerance of AI-driven workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaboration:\u0026lt;/strong\u0026gt; Partner with ML researchers, platform engineers, and scientists to translate models and algorithms into scalable, production-ready systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Educational Background:\u0026lt;/strong\u0026gt; Bachelor’s or Master’s in Computer Science, Engineering, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Backend \u0026amp;amp; Data Expertise:\u0026lt;/strong\u0026gt; 7+ years of professional experience building and scaling production systems, including APIs, data pipelines, and distributed services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Programming Skills:\u0026lt;/strong\u0026gt; Strong Python skills (FastAPI, Flask, Django), with solid experience in backend service development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Databases:\u0026lt;/strong\u0026gt; Proven experience with SQL, NoSQL, and vector databases; skilled in schema design, indexing, and query optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Applied AI Systems:\u0026lt;/strong\u0026gt; Hands-on experience integrating ML models or AI-driven workflows into production services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; DevOps:\u0026lt;/strong\u0026gt; Proficiency with AWS, Docker/Kubernetes, CI/CD pipelines, and infrastructure-as-code.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication \u0026amp;amp; Problem-Solving:\u0026lt;/strong\u0026gt; Ability to work cross-functionally with diverse teams and explain complex technical concepts to non-experts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scientific \u0026amp;amp; Data-Intensive Domains:\u0026lt;/strong\u0026gt; Experience working with life sciences, materials sciences, or other research-heavy fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Startup Experience:\u0026lt;/strong\u0026gt; Comfort with fast-paced, iterative environments where impact and adaptability matter.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$144,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$270,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null},{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4250077009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4146192009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4250077009,"updated_at":"2026-05-26T11:22:23-04:00","requisition_id":"7512","title":"Senior Software Engineer, Data","company_name":"Lila Sciences","first_published":"2026-05-26T11:22:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in shaping the future of science! We are seeking \u0026lt;strong\u0026gt;Senior\u0026lt;/strong\u0026gt; \u0026lt;strong\u0026gt;Software Engineers with backend experience\u0026lt;/strong\u0026gt; to join our Data Platform Team (Data), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About The Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Data Platform Team (Data) builds and support the data systems that underpins Lila\u0026#39;s AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design \u0026amp;amp; Build APIs:\u0026lt;/strong\u0026gt; Design and build high-performance, secure, and well-documented APIs that integrate with AI-driven applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Database Architecture \u0026amp;amp; Scaling:\u0026lt;/strong\u0026gt; Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance \u0026amp;amp; Reliability:\u0026lt;/strong\u0026gt; Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; Infrastructure:\u0026lt;/strong\u0026gt; Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Collaboration:\u0026lt;/strong\u0026gt; Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need To Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bachelor’s or Master’s degree\u0026lt;/strong\u0026gt; in Computer Science, Engineering, or related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;5-8+ years of engineering experience\u0026lt;/strong\u0026gt; building and deploying large-scale backend systems in production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; DevOps Knowledge:\u0026lt;/strong\u0026gt; Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience with ORMs:\u0026lt;/strong\u0026gt; Experience with and web services for CRUD services (SQL Alchemy, SQLModel, FastAPI, Django).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestration Systems:\u0026lt;/strong\u0026gt; Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Full Stack Development\u0026lt;/strong\u0026gt;: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands on experience using AI coding assistants to drive productivity is required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication \u0026amp;amp; Collaboration\u0026lt;/strong\u0026gt;: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Problem Solving\u0026lt;/strong\u0026gt;: Proven ability to deliver backend solutions, balancing trade-offs between scalability, performance, and maintainability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Familiarity with Python for Science\u0026lt;/strong\u0026gt;: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Domain Background:\u0026lt;/strong\u0026gt; Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with laboratory devices, robotics, or hardware\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$144,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$288,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null},{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4250038009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4146157009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4250038009,"updated_at":"2026-05-26T11:22:02-04:00","requisition_id":"7508","title":"Senior Software Engineer, Lab Software","company_name":"Lila Sciences","first_published":"2026-05-26T11:22:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in shaping the future of science! We are seeking \u0026lt;strong\u0026gt;Senior Software Engineers with backend experience\u0026lt;/strong\u0026gt; to join our Lab Software Team (LaS), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About The Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Lab as Software Team (LaS) acts as the physical and virtual execution layer for Lila\u0026#39;s AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design \u0026amp;amp; Build UI and APIs:\u0026lt;/strong\u0026gt; Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Database Architecture \u0026amp;amp; Scaling:\u0026lt;/strong\u0026gt; Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Application Development:\u0026lt;/strong\u0026gt; Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance \u0026amp;amp; Reliability:\u0026lt;/strong\u0026gt; Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; Infrastructure:\u0026lt;/strong\u0026gt; Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Collaboration:\u0026lt;/strong\u0026gt; Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need To Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bachelor’s or Master’s degree\u0026lt;/strong\u0026gt; in Computer Science, Engineering, or related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;5-8+ years of engineering experience\u0026lt;/strong\u0026gt; building and deploying large-scale systems in production. You must be strong in backend.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Full Stack Development\u0026lt;/strong\u0026gt;: Experience developing web apps across the full stack (React, TypeScript, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands on experience using AI coding assistants to drive productivity is required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication \u0026amp;amp; Collaboration\u0026lt;/strong\u0026gt;: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Problem Solving\u0026lt;/strong\u0026gt;: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Domain Background:\u0026lt;/strong\u0026gt; Exposure to laboratory software for life sciences, material sciences, or related fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lab Automation Experience:\u0026lt;/strong\u0026gt; Experience with laboratory devices, robotics, or hardware drivers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestration Systems:\u0026lt;/strong\u0026gt; Experience with software orchestration platforms (Airflow, Prefect, Temporal, Dagster) and design patterns\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; DevOps Knowledge:\u0026lt;/strong\u0026gt; Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$144,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$210,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4031328009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4022168009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4031328009,"updated_at":"2026-05-14T17:07:12-04:00","requisition_id":"6978","title":"Senior Software Engineer, ML Research","company_name":"Lila Sciences","first_published":"2025-10-06T14:06:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re hiring a\u0026amp;nbsp;\u0026lt;strong\u0026gt;Senior Software Engineer\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to team with our Machine Learning Engineers and Researchers to build software that powers Lila’s ML workflows and research tooling. You will be on a team of software engineers that work alongside machine learning experts to develop, support, and maintain Lila’s ML libraries and tools.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build high-performance, secure, and well-documented Machine Learning libraries that implement the algorithms designed by machine learning researchers and engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;CI/CD pipelines and integration tests for ML workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect repository designs to follow consistent standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support debugging, logging, and maintenance for Ray-based compute environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data ingestion pipelines linking lab data to ML teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Minimum of 8 years of experience writing software in a commercial setting in Go or Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience implementing scalable software solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with MLOps systems, GitOps (ArgoCD, Github Actions)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with orchestration frameworks (Ray, Argo, Airflow).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Containerization, Kubernetes and infrastructure-as-code tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Acute listening skills and patience to deeply understand complex problems and algorithms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent problem-solving skills and team-first mentality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Energetic self-starter and independent thinker with strong attention to detail.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Research engineering or scientific software experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$148,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$210,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4011901009,"name":"AI","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4246973009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4144252009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4246973009,"updated_at":"2026-05-26T12:56:25-04:00","requisition_id":"8507","title":"Senior Software Engineer, Operations Research","company_name":"Lila Sciences","first_published":"2026-05-26T11:22:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are a cross-functional team (Software and Robotics) developing orchestration algorithms (instrument scheduling and robot routing) and lab simulation capabilities. We are building the muscles of the lab, which translate the AI brain\u0026#39;s ideas into efficient robotic movements. Our work involves building data pipelines to feed the orchestration algorithms. We work with robotics scientists to build and deploy the algorithms on our software platform and ensure they meet scientific constraints.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a \u0026lt;strong\u0026gt;Senior Software Engineer, Operations Research\u0026lt;/strong\u0026gt; to join our software group and help build the next generation AI-driven scientific platform. In this role, you will design, build, and optimize backend systems and data infrastructure that power orchestration and lab execution. You will focus on developing services, high-performance APIs, databases, and ensuring the reliability of systems that integrate advanced AI frameworks with complex scientific workflows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll work closely with robotics researchers, platform engineers, and scientists to develop systems that can handle diverse workloads and scale to demanding throughput. This is an opportunity to apply your engineering expertise to a cutting-edge AI platform with real scientific impact. If you are passionate about building performant and elegant systems, we would love to hear from you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;(Fleet) orchestrator, Scheduler, Manufacturing Execution System, data pipelines, and related software systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design \u0026amp;amp; Build APIs:\u0026lt;/strong\u0026gt; Design and build APIs and backend services that integrate with AI-driven applications, with focus on reliability and performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Database Architecture \u0026amp;amp; Scaling:\u0026lt;/strong\u0026gt; Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Application Development:\u0026lt;/strong\u0026gt; Drive the implementation of backend services, focusing on performance, maintainability, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance \u0026amp;amp; Reliability:\u0026lt;/strong\u0026gt; Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; Infrastructure:\u0026lt;/strong\u0026gt; Build and deploy production-grade systems on AWS using Kubernetes and modern DevOps practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Collaboration:\u0026lt;/strong\u0026gt; Work with robotics scientists, platform engineers, and ML teams to integrate data pipelines and orchestration into scientific workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s or Master\u0026#39;s degree in Computer Science, Engineering, or related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5–10 years of engineering experience building and deploying large-scale backend or data systems in production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Backend / Data Development:\u0026lt;/strong\u0026gt; Experience developing distributed software and data systems (Postgres, Flyte, Temporal, NATS/MQTT, FastAPI).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience using AI coding assistants to drive productivity is required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication \u0026amp;amp; Collaboration:\u0026lt;/strong\u0026gt; Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Problem Solving:\u0026lt;/strong\u0026gt; Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience developing scheduling software or manufacturing execution systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with operations research solvers (OR-Tools, HiGHS, Gurobi).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; DevOps Knowledge:\u0026lt;/strong\u0026gt; Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Familiarity with Python for Science:\u0026lt;/strong\u0026gt; Familiarity with data science, data visualization, and ML libraries (pandas, polars, numpy, scipy, pytorch).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Domain Background:\u0026lt;/strong\u0026gt; Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$256,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4248049009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4144937009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4248049009,"updated_at":"2026-06-03T10:07:36-04:00","requisition_id":"7506","title":"Senior Software Engineer, Scientific System of Record","company_name":"Lila Sciences","first_published":"2026-06-03T10:07:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in shaping the future of science! We are seeking \u0026lt;strong\u0026gt;Senior Software Engineers with full stack experience\u0026lt;/strong\u0026gt; to join our Scientific System of Record Team (SSR), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About The Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Scientific System of Record Team (SSR) builds the memory layer for Lila\u0026#39;s operations. It answers two questions:\u0026lt;em\u0026gt;what did we plan to build?\u0026lt;/em\u0026gt; and \u0026lt;em\u0026gt;what actually happened?\u0026lt;/em\u0026gt; These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lab Execution and Scientific Workflows:\u0026lt;/strong\u0026gt; Build systems that model scientific intent, experiment planning, protocol execution, sample and asset state, operational events, and results capture across complex lab workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;User Interfaces and APIs:\u0026lt;/strong\u0026gt; Design and implement high-quality, secure, and well-documented UIs and APIs that support scientists, automation systems, ML workflows, and AI-driven applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Application Development:\u0026lt;/strong\u0026gt; Build front-end and backend services with a focus on performance, maintainability, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data and System Modeling:\u0026lt;/strong\u0026gt; Develop domain models, schemas, indexes, and data contracts across SQL, NoSQL, vector databases, data lakehouses, and other scientific data systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Reliability, Performance, and Scale:\u0026lt;/strong\u0026gt; Diagnose bottlenecks, improve system performance, and contribute to observability, reliability, and operational excellence for production systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud and Infrastructure:\u0026lt;/strong\u0026gt; Use AWS services, Kubernetes, and modern DevOps practices to build and deploy production-grade systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Collaboration:\u0026lt;/strong\u0026gt; Partner with scientists, ML researchers, platform engineers, data engineers, automation teams, and product managers to translate scientific and operational needs into software.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Engineering Quality:\u0026lt;/strong\u0026gt; Contribute to architecture discussions, code reviews, testing practices, documentation, and shared engineering standards.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need To Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bachelor’s or Master’s degree\u0026lt;/strong\u0026gt; in Computer Science, Engineering, or related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;4-6+ years of engineering experience\u0026lt;/strong\u0026gt; building and deploying large-scale systems in production. You must be strong in either front-end or backend.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong expertise in at least one of the following areas, with the ability to work across the stack: front-end engineering, backend engineering, or data modeling and system design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;TypeScript, React, and Python:\u0026lt;/strong\u0026gt; Strong experience building modern applications with React and TypeScript; Python experience is strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Application and API Development:\u0026lt;/strong\u0026gt; Experience designing, building, and maintaining APIs, services, and application components with a focus on reliability, performance, and maintainability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Databases and Data Modeling:\u0026lt;/strong\u0026gt; Experience with SQL and at least one of NoSQL, vector databases, search systems, or data lakehouse architectures; familiarity with schema design, indexing, and query optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Production Systems:\u0026lt;/strong\u0026gt; Experience operating production software, including debugging, monitoring, performance tuning, and improving reliability over time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaboration:\u0026lt;/strong\u0026gt; Strong communication skills and a track record of working cross-functionally with engineers, product teams, scientists, or other domain experts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Problem Solving:\u0026lt;/strong\u0026gt; Ability to take ownership of ambiguous technical problems, make practical trade-offs, and deliver maintainable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience using AI coding assistants or AI-augmented engineering workflows to improve productivity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud and DevOps:\u0026lt;/strong\u0026gt; Hands-on experience with AWS, GCP, or Azure; strong understanding of Kubernetes, containerization, infrastructure as code such as Terraform or CloudFormation, and CI/CD pipelines such as GitHub Actions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestration Systems:\u0026lt;/strong\u0026gt; Experience with orchestration tools such as Flyte, Temporal, Airflow, Prefect, or similar systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building laboratory, scientific workflow, LIMS, ELN, data platform, or ML platform products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing systems that support auditability, traceability, reproducibility, data provenance, or regulated workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$144,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$240,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null},{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4184439009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4106857009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4184439009,"updated_at":"2026-05-14T17:07:36-04:00","requisition_id":"7401","title":"Senior Specialist / Manager, Boomi Developer, Business Systems","company_name":"Lila Sciences","first_published":"2026-03-17T11:12:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is hiring a \u0026lt;span class=\u0026quot;notion-enable-hover\u0026quot; data-token-index=\u0026quot;1\u0026quot;\u0026gt;Boomi Developer\u0026lt;/span\u0026gt; to design, build, and support integrations that power our core business systems. You’ll own end-to-end integration delivery in Boomi AtomSphere—from requirements and mapping through deployment, monitoring, and ongoing support—partnering closely with Finance, People Ops, IT, and GTM stakeholders. Experience with \u0026lt;span class=\u0026quot;notion-enable-hover\u0026quot; data-token-index=\u0026quot;3\u0026quot;\u0026gt;procure-to-pay (P2P)\u0026lt;/span\u0026gt; and \u0026lt;span class=\u0026quot;notion-enable-hover\u0026quot; data-token-index=\u0026quot;5\u0026quot;\u0026gt;onboarding/offboarding\u0026lt;/span\u0026gt; workflows is a strong plus.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, develop, and maintain Boomi \u0026lt;strong\u0026gt;AtomSphere\u0026lt;/strong\u0026gt; integrations (processes/atoms, APIs, schedules, connectors) across ERP, HCM, IAM, CRM, ITSM, and data platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate business requirements into scalable integration designs and \u0026lt;strong\u0026gt;data mappings\u0026lt;/strong\u0026gt; (JSON, XML, CSV, EDI).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build resilient error handling, retries, and alerting; ensure observability and clear \u0026lt;strong\u0026gt;runbooks\u0026lt;/strong\u0026gt; for L1/L2/L3 support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage Boomi MDH to support Data Quality and Source Data integrity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement and manage \u0026lt;strong\u0026gt;REST/SOAP APIs\u0026lt;/strong\u0026gt;, webhooks, and event-driven patterns where appropriate.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize existing integrations for performance, reliability, and cost; deprecate legacy jobs safely.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage CI/CD, environment promotion, and release governance for integration assets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure data quality, security, and compliance (PII handling, least privilege, audit readiness).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with stakeholders to prioritize a roadmap; provide estimates, status, and documentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide production support within defined \u0026lt;strong\u0026gt;SLAs\u0026lt;/strong\u0026gt;, including incident response and root-cause analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to \u0026lt;strong\u0026gt;standards, templates, and best practices\u0026lt;/strong\u0026gt; for integration development at Lila.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3–5 years in integrations/iPaaS, including 2+ years hands-on with \u0026lt;strong\u0026gt;Boomi AtomSphere\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with \u0026lt;strong\u0026gt;API design and integration\u0026lt;/strong\u0026gt; (REST/SOAP), authentication (OAuth2, JWT, API keys), and data formats (\u0026lt;strong\u0026gt;JSON, XML, CSV\u0026lt;/strong\u0026gt;).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong \u0026lt;strong\u0026gt;data transformation\u0026lt;/strong\u0026gt; skills (map functions, scripting, XSLT preferred) and error-handling patterns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid SQL fundamentals; familiarity with relational schemas and data modeling for integrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid MDH experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with \u0026lt;strong\u0026gt;Git-based\u0026lt;/strong\u0026gt; workflows and CI/CD for integration deployments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent collaboration and communication with non-technical stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Direct experience building/supporting \u0026lt;strong\u0026gt;Procure-to-Pay\u0026lt;/strong\u0026gt; integrations (e.g., ERP, procurement, AP, payments).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct experience with \u0026lt;strong\u0026gt;Onboarding/Offboarding\u0026lt;/strong\u0026gt; integrations across HRIS, IAM/SSO (e.g., Okta/Azure AD), ITSM, and device management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Boomi certifications (\u0026lt;strong\u0026gt;Professional Developer\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;API Management\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;MDM\u0026lt;/strong\u0026gt;) or equivalent.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with ERP (e.g., NetSuite/Oracle/SAP), HRIS (e.g., Workday/BambooHR), ITSM (e.g., Jira/ServiceNow), and procurement (e.g., Coupa).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with event-driven architectures, queues/streams (e.g., Kafka/SQS), and EDI B2B flows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scripting for integrations (Groovy/JavaScript), and lightweight Python for tooling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to BOOMI AI functionality\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$88,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$144,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4250045009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4146162009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4250045009,"updated_at":"2026-05-21T18:35:47-04:00","requisition_id":"7509","title":"Software Engineer II, Lab Software","company_name":"Lila Sciences","first_published":"2026-05-21T18:35:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in shaping the future of science! We are seeking a \u0026lt;strong\u0026gt;Software Engineer II with backend experience\u0026lt;/strong\u0026gt; to join our Lab Software Team (LaS), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About The Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Lab as Software Team (LaS) acts as the physical and virtual execution layer for Lila\u0026#39;s AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design \u0026amp;amp; Build UI and APIs:\u0026lt;/strong\u0026gt; Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Database Architecture \u0026amp;amp; Scaling:\u0026lt;/strong\u0026gt; Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Application Development:\u0026lt;/strong\u0026gt; Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance \u0026amp;amp; Reliability:\u0026lt;/strong\u0026gt; Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; Infrastructure:\u0026lt;/strong\u0026gt; Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Collaboration:\u0026lt;/strong\u0026gt; Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need To Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bachelor’s or Master’s degree\u0026lt;/strong\u0026gt; in Computer Science, Engineering, or related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;2-5 years of engineering experience\u0026lt;/strong\u0026gt; building and deploying large-scale systems in production. You must be strong in backend.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Full Stack Development\u0026lt;/strong\u0026gt;: Experience developing web apps across the full stack (React, TypeScript, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands on experience using AI coding assistants to drive productivity is required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication \u0026amp;amp; Collaboration\u0026lt;/strong\u0026gt;: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Problem Solving\u0026lt;/strong\u0026gt;: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Domain Background:\u0026lt;/strong\u0026gt; Exposure to laboratory software for life sciences, material sciences, or related fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lab Automation Experience:\u0026lt;/strong\u0026gt; Experience with laboratory devices, robotics, or hardware drivers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestration Systems:\u0026lt;/strong\u0026gt; Experience with software orchestration platforms (Airflow, Prefect, Temporal, Dagster) and design patterns\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; DevOps Knowledge:\u0026lt;/strong\u0026gt; Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$120,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$180,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4186444009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4108137009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4186444009,"updated_at":"2026-05-14T17:07:37-04:00","requisition_id":"7410","title":"Software Engineer I, Instrument Software ","company_name":"Lila Sciences","first_published":"2026-03-20T16:48:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is hiring a Software Engineer to develop the next generation of Lab Instrument Integration Software, which is a foundational component of our AI-enabled laboratory. We are looking for self-motivated problem solvers who enjoy sitting at the often tricky interfaces between software, science, and hardware to deliver powerful solutions that will accelerate science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lab Instrument Software Development:\u0026lt;/strong\u0026gt; Develop robust software to enable communication between robotics and automation hardware (e.g., robotic arms, liquid handlers, sensors) and the control software, ensuring reliable and efficient hardware integration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;System Integration:\u0026lt;/strong\u0026gt; Seamlessly integrate lab instruments into our Next Generation, AI-enabled lab automation infrastructure, managing complex interfaces between cloud and edge infrastructure, and device execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Testing and Debugging:\u0026lt;/strong\u0026gt; Perform rigorous testing, debugging, and troubleshooting of drivers to identify, isolate, and rectify performance issues, bugs, and compatibility challenges.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Documentation:\u0026lt;/strong\u0026gt; Create, update, and maintain clear, comprehensive documentation for driver interfaces, APIs, and integration methods, facilitating ease of use by internal teams and end-users.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaboration and Support:\u0026lt;/strong\u0026gt; Work closely with cross-functional teams, including hardware engineers, software developers, product managers, and end-users, providing technical support and resolving integration challenges promptly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI driven development\u0026lt;/strong\u0026gt;: work with state of the art coding models and development infrastructure to improve the speed and quality of software delivery.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proficiency in Python\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;C#/.NET,\u0026lt;/strong\u0026gt; or other programming languages or frameworks is essential\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability in \u0026lt;strong\u0026gt;debugging and problem-solving,\u0026lt;/strong\u0026gt; preferably hardware-software integration issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical thinking and a structured approach to troubleshooting and resolving complex technical problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong verbal and written \u0026lt;strong\u0026gt;communication skills\u0026lt;/strong\u0026gt; to collaborate effectively with multidisciplinary teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A strong interest in or background in science\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in developing software for laboratory automation systems or robotics used in life sciences, pharmaceutical, or similar industries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working directly with end-users (e.g., scientists, laboratory technicians), using feedback to drive product improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with \u0026lt;strong\u0026gt;hardware integration and device driver development\u0026lt;/strong\u0026gt;, especially in robotics or automation contexts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with \u0026lt;strong\u0026gt;version control systems, especially Git\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$108,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$140,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4193827009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114096009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4193827009,"updated_at":"2026-05-14T17:07:37-04:00","requisition_id":"7418","title":"Sr Principal/ Principal Software Engineer, AI Lab Execution System ","company_name":"Lila Sciences","first_published":"2026-03-23T18:09:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a \u0026lt;strong\u0026gt;Senior Principal or \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;Principal Software Engineer, AI Lab Execution System\u0026lt;/strong\u0026gt; to join our Scientific System of Record Team and help define and build the next-generation AI-driven scientific platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will serve as a technical leader for systems that connect scientific intent, laboratory execution, data capture, and AI-driven analysis. You will shape the architecture of user interfaces, services, high-performance APIs, databases, and reliability-critical systems that integrate advanced AI frameworks with complex scientific analytics and laboratory workflows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll work closely with ML researchers, platform engineers, data engineers, product teams, and scientists to turn complex scientific processes into scalable, elegant software systems. These systems will need to support diverse workloads across structured SQL databases, data lakehouses, workflow engines, and lab execution environments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an opportunity to set technical direction for a cutting-edge AI platform with real scientific impact. If you are passionate about building high-leverage systems, mentoring strong engineers, and solving ambiguous problems at the intersection of AI, software, and science, we would love to hear from you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About The Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Scientific System of Record Team (SSR) builds the memory layer for Lila\u0026#39;s operations. It answers two questions:\u0026lt;em\u0026gt;what did we plan to build?\u0026lt;/em\u0026gt; and \u0026lt;em\u0026gt;what actually happened?\u0026lt;/em\u0026gt; These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Strategy and Architecture:\u0026lt;/strong\u0026gt; Define architectural direction for the AI Lab Execution System and related Scientific System of Record capabilities, balancing long-term platform evolution with near-term product delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lab Execution and Scientific Workflows:\u0026lt;/strong\u0026gt; Design systems that model scientific intent, experiment planning, protocol execution, sample and asset state, operational events, and results capture across complex lab workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;User Interfaces and APIs:\u0026lt;/strong\u0026gt; Lead the design of high-performance, secure, and well-documented UIs and APIs that support scientists, automation systems, ML workflows, and AI-driven applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data and System Modeling:\u0026lt;/strong\u0026gt; Establish durable domain models, schemas, and data contracts across SQL, NoSQL, vector databases, data lakehouses, and other scientific data systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Reliability, Performance, and Scale:\u0026lt;/strong\u0026gt; Set technical standards for high availability, low latency, observability, fault tolerance, and operational excellence\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud and Infrastructure:\u0026lt;/strong\u0026gt; Guide the use of AWS services, Kubernetes, and modern DevOps practices to build production-grade systems that scale across teams and workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Influence:\u0026lt;/strong\u0026gt; Partner deeply with scientists, ML researchers, platform engineers, data engineers, automation teams, and product leaders to translate scientific and operational needs into coherent platform architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Engineering Excellence:\u0026lt;/strong\u0026gt; Mentor engineers, drive architecture reviews, raise the quality bar, and help establish patterns, tools, and practices that improve engineering velocity and system quality.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need To Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bachelor’s or Master’s degree\u0026lt;/strong\u0026gt; in Computer Science, Engineering, or related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;8-15 years of engineering experience\u0026lt;/strong\u0026gt; building and deploying large-scale systems in production. You must be strong in either front-end or backend.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong expertise in at least one of the following areas, with the ability to reason across all three: front-end engineering, backend engineering, or data modeling and system design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;TypeScript, React, and Python:\u0026lt;/strong\u0026gt; Strong experience building modern applications with React and TypeScript; Python experience is strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Systems and Data Architecture:\u0026lt;/strong\u0026gt; Deep experience designing scalable application architectures, APIs, domain models, schemas, indexes, data contracts, and distributed data systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Databases:\u0026lt;/strong\u0026gt; Strong experience with SQL and at least one of NoSQL, vector databases, graph databases, search systems, or data lakehouse architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;API and Platform Design:\u0026lt;/strong\u0026gt; Proven ability to design APIs, platform abstractions, and integration patterns that are reliable, maintainable, and easy for other teams to build on.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scientific or Data-Intensive Domains:\u0026lt;/strong\u0026gt; Experience working in life sciences, materials science, ML platforms, laboratory systems, automation platforms, or other research-heavy and data-intensive environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operational Excellence:\u0026lt;/strong\u0026gt; Experience designing production systems with strong observability, reliability, incident response, performance tuning, and long-term maintainability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Leadership:\u0026lt;/strong\u0026gt; Ability to mentor senior engineers, align stakeholders, make clear technical trade-offs, and drive complex initiatives from ambiguity to production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication and Collaboration:\u0026lt;/strong\u0026gt; Strong listening skills and the ability to explain complex technical ideas to scientists, engineers, product leaders, and executives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience using AI coding assistants or AI-augmented engineering workflows to improve productivity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestration Systems:\u0026lt;/strong\u0026gt; Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Familiarity with Python for Science\u0026lt;/strong\u0026gt;: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing systems that support auditability, traceability, reproducibility, data provenance, or regulated workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$348,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4248036009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4144928009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4248036009,"updated_at":"2026-05-21T18:35:34-04:00","requisition_id":"7503","title":"Sr Principal/Principal Software Engineer, App","company_name":"Lila Sciences","first_published":"2026-05-21T18:35:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt; \u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Scientists shouldn\u0026#39;t have to context-switch between a dozen tools to go from hypothesis to result. We\u0026#39;re building the platform that makes this a reality — and we need engineers who want to solve problems no one has solved before.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring Sr Principal / Principal Software Engineers to design the agents, interfaces, and platform integrations that let researchers seamlessly collaborate with AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About The Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Application Team sits at the center of LILA — the integration point where Machine Learning, Life Sciences, Physical Sciences, and Software become one AI-native experience that carries a scientist from hypothesis to experiment to breakthrough results.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;AI isn\u0026#39;t a feature here — it\u0026#39;s the architecture. Agent frameworks, tools, and LLM orchestration are core primitives, not bolt-ons.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The problems are genuinely hard. Connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs means inventing patterns, not copying them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;ll learn domains you never expected. Working shoulder-to-shoulder with lab scientists and ML engineers means your technical surface area grows fast.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;ll ship things that matter. The tools you build accelerate research timelines from months to days.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;If you want to build at the intersection of AI and science, move fast without breaking trust, and grow into the kind of engineer who can architect systems that don\u0026#39;t exist yet — we want to talk.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design \u0026amp;amp; Build UI and APIs:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Database Architecture \u0026amp;amp; Scaling:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Application Development:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance \u0026amp;amp; Reliability:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; Infrastructure:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Collaboration:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need To Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bachelor’s or Master’s degree\u0026lt;/strong\u0026gt;\u0026amp;nbsp;in Computer Science, Engineering, or related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;8-15 years of engineering experience\u0026lt;/strong\u0026gt;\u0026amp;nbsp;building and deploying large-scale systems in production. You must be strong in either front-end or backend.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Full Stack Development\u0026lt;/strong\u0026gt;: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands on experience using AI coding assistants to drive productivity is required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication \u0026amp;amp; Collaboration\u0026lt;/strong\u0026gt;: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Problem Solving\u0026lt;/strong\u0026gt;: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Applied AI Engineering:\u0026lt;/strong\u0026gt; Experience building with AI agents, graph-based workflows, tool-use protocols (MCP), RAG pipelines, or LLM orchestration frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; DevOps Knowledge:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience with ORMs:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Experience with and web services for CRUD services (SQLModel, FastAPI, Django).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestration Systems:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Familiarity with Python for Science\u0026lt;/strong\u0026gt;: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Domain Background:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with laboratory devices, robotics, or hardware drivers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$348,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null},{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4212473009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4124658009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4212473009,"updated_at":"2026-05-14T17:07:40-04:00","requisition_id":"7455","title":"Staff DevOps Engineer, Software, Product Operations ","company_name":"Lila Sciences","first_published":"2026-04-29T10:47:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Staff/Principal DevOps Engineer will drive the design, implementation, and optimization of our infrastructure and delivery platforms. This role bridges platform engineering, site reliability, and DevOps practices, building scalable, automated systems that enable fast, reliable software delivery across cloud and Kubernetes environments. You will collaborate with software engineers, lab scientists, and ML engineers to build infrastructure that powers automated scientific analysis, experiment orchestration, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build Kubernetes-based systems supporting scientific services, ML pipelines, and platform workloads; including production hardening, RBAC, network policies, and Pod Security Standards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;CI/CD pipelines with GitHub Actions/GitLab CI implementing best practices: build attestations, SBOM generation, dependency scanning, and container image hardening\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure-as-code with Terraform and Helm; policy-as-code guardrails (OPA/Kyverno/Checkov) with drift detection\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AWS cloud infrastructure: EKS clusters, IAM least privilege, VPC/PrivateLink networking, KMS/Secrets Manager, ECR, S3, and centralized logging/monitoring\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Platform tooling to streamline deployment, observability, and developer workflows, enabling self-service with secure defaults\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reliability engineering: SLOs/SLIs, incident response, capacity planning, and performance optimization throughout the stack\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Software supply chain practices: artifact signing, registry governance and vulnerability management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;QA and testing infrastructure: static analysis and code quality gate enforcement in CI pipelines, automated end-to-end and browser-based regression test suites, ephemeral test environments for PR-based validation, and pre-merge quality checks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automation and tooling in Python or Go to improve infrastructure operations and integrate telemetry with observability platforms\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Expertise in DevOps, SRE, Systems Engineering, or Platform Engineering in large scale cloud environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in deploying to cloud environments (AWS, GCP, etc) using infrastructure-as-code (Terraform, Helm) and containerization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with CI/CD systems (GitHub Actions, GitLab CI, or Jenkins) and GitOps practices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency in Python/scripting languages for automation and tooling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of Kubernetes operations: deployments, networking, storage, observability, and troubleshooting\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;SRE practices: observability platforms, chaos engineering, incident management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Securing ML/AI pipelines (model registries, training clusters, inference gateways)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in regulated/audit-heavy environments (SOC 2, ISO 27001)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Supply chain security maturity: SBOMs, image signing, SLSA concepts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Administering static analysis platforms (custom quality profiles, security hotspot triage) and scaling browser-based test suites across parallel CI environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior startup/high-growth experience balancing velocity with reliability\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$272,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4222065009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4129799009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4222065009,"updated_at":"2026-06-02T14:02:37-04:00","requisition_id":"7469","title":"Staff Engineer, Data Platform","company_name":"Lila Sciences","first_published":"2026-06-02T14:02:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building the software platform that makes automated scientific discovery possible. At the heart of that platform is data: raw outputs from laboratory instruments, experimental model results, curated public datasets, and the scientific literature that contextualizes all of it. The data platform team is responsible for the infrastructure that moves, stores, transforms, and surfaces this data across the organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Staff Engineer to set the technical direction for our core data infrastructure: ingestion frameworks, storage architecture, orchestration patterns, and the interfaces that let scientists and ML researchers work with data reliably at scale. You will work closely with software engineers, machine learning researchers, and lab scientists to understand requirements and translate them into durable platform capabilities.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a role for engineers who care deeply about how data systems are designed. You will establish the architectural patterns and engineering standards the broader team builds on, mentor engineers across the data platform group, and make technical decisions that compound over time.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data Platform Architecture:\u0026lt;/strong\u0026gt; Design and evolve the core data infrastructure that ingests, stores, and serves data across scientific and ML workflows. Make principled build-vs-buy decisions and establish architectural patterns adopted by the broader engineering organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ingestion and Integration:\u0026lt;/strong\u0026gt; Build reliable pipelines that bring in data from diverse sources: laboratory instruments, public scientific datasets, and external research literature. Own the interfaces between upstream producers and downstream consumers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestration and Reliability:\u0026lt;/strong\u0026gt; Operate and extend workflow orchestration systems that run complex, multi-step scientific pipelines. Ensure observability, fault tolerance, and reproducibility across the data stack.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data Modeling and Schema Strategy:\u0026lt;/strong\u0026gt; Define and maintain data models, schema evolution practices, and data contracts that ensure consistency, discoverability, and long-term durability of scientific and platform data assets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Technical Leadership:\u0026lt;/strong\u0026gt; Partner with ML researchers, lab scientists, and product engineers to translate scientific and research requirements into platform capabilities. Drive alignment on data standards and integration patterns across teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Engineering Standards and Mentorship:\u0026lt;/strong\u0026gt; Establish coding, review, and design standards for the data platform team. Mentor engineers, lead design reviews, and raise the technical bar across the group.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s or Master\u0026#39;s degree in Computer Science, Engineering, or a related field, and 8+ years as a software or data engineer with a focus on building and operating data infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Designed and shipped data platform components from the ground up, including ingestion frameworks, storage abstractions, and orchestration systems. Fluent in Python and SQL and writes production-quality code.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production experience with relational and NoSQL databases, schema design, query optimization, and operational concerns at scale. Comfortable working across structured, semi-structured, and unstructured data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of working cross-functionally with scientists, ML researchers, and engineers. Able to translate domain requirements into platform decisions and explain technical trade-offs to diverse audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud infrastructure and containerized deployment (AWS, Kubernetes).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with modern table formats and open lakehouse patterns (Iceberg, Delta Lake, Hudi).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with workflow orchestration systems (Flyte, Airflow, Dagster, or similar).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building data infrastructure that serves agentic and LLM-driven workflows, including vector databases, RAG infrastructure, and retrieval-optimized data access patterns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in scientific computing, life sciences, or research software.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with AI-assisted development tools (Cursor, Claude Code, or similar) and ability to incorporate them effectively into day-to-day engineering work.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$272,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null},{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4031282009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4022135009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4031282009,"updated_at":"2026-05-14T17:07:11-04:00","requisition_id":"6847","title":"Staff Forward Deployed Engineer, Life Sciences","company_name":"Lila Sciences","first_published":"2025-10-06T13:34:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;notion-selectable notion-text-block\u0026quot; data-block-id=\u0026quot;2151a62c-8a83-80e3-b6fe-ffa07bb140fc\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;notranslate\u0026quot; data-content-editable-leaf=\u0026quot;true\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re seeking extraordinarily talented Forward Deployed Engineers across Engineer, Senior Engineer, and Lead Engineer levels to join our growing team. Our FDEs are high-performing generalists with a broad set of skills, in addition to depth in one or more focus areas.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an FDE, you\u0026#39;ll embed directly with our internal biotech and science teams as well as external customers, living their problems and rapidly building solutions that transform their research capabilities. You\u0026#39;ll leverage our AI and software platform tools while developing bespoke features that address each customer\u0026#39;s unique challenges. This isn\u0026#39;t traditional software development—it\u0026#39;s high-velocity, AI-fueled, high-impact engineering where you\u0026#39;ll ship production code in days, not months.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Developing, wrapping, and adapting domain-specific tools for molecular modeling, data analysis, process optimization, molecular modeling, and more\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deploying custom, agentic scientific workflows that integrate with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building real-time data pipelines that transform messy scientific data into actionable insights\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creating intuitive interfaces that make complex AI/ML capabilities accessible to scientists\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architecting solutions that scale from proof-of-concept to enterprise-wide deployment\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Background in biology, molecular science, or related scientific field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Outstanding communication skills—you\u0026#39;ll interface directly with both executives and the manufacturing line\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with data engineering, ETL pipelines, and working with complex/messy datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong full-stack development skills with the ability to work across backend, frontend, and data layers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional problem-solving abilities and comfort with ambiguous requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knack for product discovery and ability to pass requirements back to the platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willingness to travel to customer sites for frequent and extended deployments\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Previous customer-facing or consulting experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Depth in controls engineering and machine learning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with scientific computing libraries (NumPy, Pandas, SciPy, RDKit)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with ML/AI implementation and deployment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with modern web technologies (TypeScript, React)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What Makes a Great FDE\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customer Obsessed\u0026lt;/strong\u0026gt;: You\u0026#39;re energized by understanding customer problems deeply and seeing your solutions drive real impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Fast Learner\u0026lt;/strong\u0026gt;: You quickly grasp new scientific domains and translate complex requirements into elegant solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Autonomous\u0026lt;/strong\u0026gt;: You thrive with minimal supervision and take extreme ownership of customer success\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaborative\u0026lt;/strong\u0026gt;: You work seamlessly with both technical and non-technical stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technically Versatile\u0026lt;/strong\u0026gt;: You\u0026#39;re comfortable jumping between technologies and picking up new tools as needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Ready to Transform Scientific Discovery?\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you\u0026#39;re excited about embedding with world-class scientists, shipping impactful solutions at startup speed, and building the future of scientific software, we want to hear from you. Join us in our mission to accelerate breakthrough discoveries that will define the next century of human progress.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$256,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4031303009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4022150009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4031303009,"updated_at":"2026-05-14T17:07:11-04:00","requisition_id":"6959","title":"Staff Forward Deployed Engineer, Physical Sciences (Level Flexible)","company_name":"Lila Sciences","first_published":"2025-10-06T13:34:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;notion-selectable notion-text-block\u0026quot; data-block-id=\u0026quot;2151a62c-8a83-80e3-b6fe-ffa07bb140fc\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;notranslate\u0026quot; data-content-editable-leaf=\u0026quot;true\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re seeking extraordinarily talented Forward Deployed Engineers across Engineer, Senior Engineer, and Lead Engineer levels to join our growing team. Our FDEs are high-performing generalists with a broad set of skills, in addition to depth in one or more focus areas. This FDE, Physical Sciences role requires experience in chemistry and materials science in an industrial manufacturing setting.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an FDE, you\u0026#39;ll embed directly with our internal biotech and materials science teams as well as external customers, living their problems and rapidly building solutions that transform their research capabilities. You\u0026#39;ll leverage our AI and software platform tools while developing bespoke features that address each customer\u0026#39;s unique challenges. This isn\u0026#39;t traditional software development—it\u0026#39;s high-velocity, AI-fueled, high-impact engineering where you\u0026#39;ll ship production code in days, not months.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Developing, wrapping, and adapting domain-specific tools for data analysis, process optimization, molecular modeling, and more\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deploying custom, agentic scientific workflows that integrate with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building real-time data pipelines that transform messy scientific data into actionable insights\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creating intuitive interfaces that make complex AI/ML capabilities accessible to scientists\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architecting solutions that scale from proof-of-concept to enterprise-wide deployment\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Domain expertise in chemistry, materials science, or related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Outstanding communication skills—you\u0026#39;ll interface directly with both executives and the manufacturing line\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with data engineering, ETL pipelines, and working with complex/messy datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong full-stack development skills with the ability to work across backend, frontend, and data layers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional problem-solving abilities and comfort with ambiguous requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knack for product discovery and ability to pass requirements back to the platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willingness to travel to customer sites for frequent and extended deployments\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Previous customer-facing or consulting experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Depth in controls engineering and machine learning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with scientific computing libraries (NumPy, Pandas, SciPy, RDKit)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with ML/AI implementation and deployment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with modern web technologies (TypeScript, React)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What Makes a Great FDE\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customer Obsessed\u0026lt;/strong\u0026gt;: You\u0026#39;re energized by understanding customer problems deeply and seeing your solutions drive real impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Fast Learner\u0026lt;/strong\u0026gt;: You quickly grasp new scientific domains and translate complex requirements into elegant solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Autonomous\u0026lt;/strong\u0026gt;: You thrive with minimal supervision and take extreme ownership of customer success\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaborative\u0026lt;/strong\u0026gt;: You work seamlessly with both technical and non-technical stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technically Versatile\u0026lt;/strong\u0026gt;: You\u0026#39;re comfortable jumping between technologies and picking up new tools as needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Ready to Transform Scientific Discovery?\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you\u0026#39;re excited about embedding with world-class scientists, shipping impactful solutions at startup speed, and building the future of scientific software, we want to hear from you. Join us in our mission to accelerate breakthrough discoveries that will define the next century of human progress.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$256,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4239026009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4139677009,"location":{"name":"San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4239026009,"updated_at":"2026-05-14T17:07:44-04:00","requisition_id":"7488","title":"Staff ML Engineer, Life Sciences AI ","company_name":"Lila Sciences","first_published":"2026-05-07T12:38:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), software engineers build the systems that connect generative models, scientific data, and experimental workflows into reliable, production-grade pipelines powering Lila\u0026#39;s protein design and engineering campaigns.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring a \u0026lt;strong\u0026gt;Staff ML Engineer, Life Sciences AI\u0026lt;/strong\u0026gt; to lead software infrastructure development for our protein design and engineering pipelines. This is a senior IC role focused on the engineering systems that surround and support our ML stack — pipeline orchestration, data flow between computational and experimental systems, integration of new tools and methods, and the developer experience that lets LSAI move fast on commercial partnership deliverables.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect and build software infrastructure\u0026lt;/strong\u0026gt; powering Lila\u0026#39;s protein design and engineering pipelines: orchestration, data flow, APIs, and integration with experimental systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own the engineering side of LSAI\u0026#39;s \u0026quot;Lab-in-the-Loop\u0026quot; lifecycle\u0026lt;/strong\u0026gt; — connecting computational outputs to experimental inputs and feeding results back into design workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Onboard new tools and methods\u0026lt;/strong\u0026gt; developed by AI scientists and ML engineers into production-ready systems used in commercial partnership campaigns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt; with ML researchers, scientists, and platform engineers to translate research code into reliable, scalable systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Set engineering standards\u0026lt;/strong\u0026gt; for LSAI software — design reviews, CI/CD, testing, observability, reproducibility — and mentor senior engineers as the team grows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Diagnose and resolve reliability, performance, and scaling bottlenecks\u0026lt;/strong\u0026gt; in production pipelines supporting partnership deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Master\u0026#39;s degree or higher in Computer Science, Machine Learning, or a related quantitative field (or Bachelor\u0026#39;s with equivalent professional experience).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of professional software engineering experience in Python (or comparable systems languages).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience designing, building, and operating \u0026lt;strong\u0026gt;scalable production systems\u0026lt;/strong\u0026gt; — APIs, data pipelines, orchestration, and cloud infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong software engineering fundamentals: system design, production-grade code, CI/CD, observability, and reliability practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building or operating \u0026lt;strong\u0026gt;scientific or ML-adjacent infrastructure\u0026lt;/strong\u0026gt; — workflow orchestration, experiment tracking, and reproducible pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with \u0026lt;strong\u0026gt;containerization, orchestration platforms, and infrastructure-as-code\u0026lt;/strong\u0026gt; on a major cloud provider.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of \u0026lt;strong\u0026gt;leading technical direction\u0026lt;/strong\u0026gt; across multiple systems and partnering deeply with research scientists or ML engineers to translate scientific needs into production engineering.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building infrastructure for \u0026lt;strong\u0026gt;protein design and engineering, antibody engineering, or other molecular ML applications\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;biological data formats and bioinformatics tooling\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience integrating ML training/inference systems with broader product or scientific platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Open-source contributions to scientific computing or data infrastructure projects.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$162,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$200,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4011901009,"name":"AI","child_ids":[],"parent_id":null}],"offices":[{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4110350009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4075259009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4110350009,"updated_at":"2026-06-04T15:17:47-04:00","requisition_id":"7289","title":"Staff / Principal Automated Systems Engineer","company_name":"Lila Sciences","first_published":"2026-01-28T13:39:35-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is seeking a highly skilled, hands-on \u0026lt;strong\u0026gt;Automated Systems Engineer\u0026lt;/strong\u0026gt; to design, develop, and implement automation solutions across a broad range of laboratory workflows. Reporting to the Automated Systems Engineering Lead, this role is critical to building scalable, high-throughput automated workcells that translate scientific intent into reliable, real-world systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role serves as a steward of scientific and cross-functional requirements—working closely with scientists, hardware, controls, and software teams to define scope, align interfaces, and drive projects from concept through deployment. The successful candidate will actively partner with scientific partners helping shape the technical direction of experimental automation in a fast-moving research environment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;\u0026lt;strong\u0026gt;Technical Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Actively contribute to hands-on development, testing, and implementation of automated workflows in the lab.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop scalable automated solutions for synthesis and characterization workflows, supporting a variety of material systems such as porous materials, catalysts, coatings, and advanced composites.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and document standardized laboratory workflows, operating procedures, and system architectures to support reproducibility and scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and participate in equipment- and system-level FMEAs to improve robustness and operational safety.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist in the troubleshooting and optimization of automated systems for throughput, reliability, and adaptability across diverse workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design failure detection methods and maintain laboratory automation systems to ensure robust operations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;\u0026lt;strong\u0026gt;Project Innovation\u0026lt;/strong\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Translate scientific objectives into well-scoped technical requirements and automation architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a connective tissue between science, hardware, controls, and software—ensuring interfaces are clear and solutions are cohesive.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Explore and integrate emerging technologies, such machine vision, and advanced sensors, to enhance automation capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure alignment of automation solutions with safety, quality, and regulatory standards.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s or advanced degree in Materials Science, Chemistry, Engineering, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong hands-on experience developing and scaling automated workflows in laboratory or industrial settings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of Python programming, including API integration and error handling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of CAD design and rapid prototyping, including 3D printing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with hardware systems, including electrical wiring, sensors, liquid/gas plumbing, and PID controllers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong critical thinking skills, attention to detail, and ability to work collaboratively in a dynamic environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and interpersonal skills, with the ability to convey technical concepts clearly to diverse audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with advanced experimental systems, including vacuum, laser, furnace, and electrochemical experimentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of machine vision applications and robotics control algorithms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to integrate hardware and controls systems with automation workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of AI-driven decision-making in research automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience leading technical teams in a fast-paced R\u0026amp;amp;D environment.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Working at Lila Sciences, you would have access to advanced technology in the areas of:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;AI experimental design and simulation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automated custom instrumentation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generative molecular and material design\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$163,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$228,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4110355009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4075263009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4110355009,"updated_at":"2026-05-14T17:07:27-04:00","requisition_id":"7291","title":"Staff / Principal Industrial Engineer ","company_name":"Lila Sciences","first_published":"2026-01-23T13:17:19-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span class=\u0026quot;notion-enable-hover\u0026quot; data-token-index=\u0026quot;0\u0026quot;\u0026gt;Lila Sciences is seeking an Industrial Engineer to own and\u0026amp;nbsp;architect\u0026amp;nbsp;the physical layout of our AI Science Factories.\u0026lt;/span\u0026gt;\u0026amp;nbsp;In this role, you will\u0026amp;nbsp;be responsible for\u0026amp;nbsp;integrating\u0026amp;nbsp;lab instrumentation and\u0026amp;nbsp;robotics\u0026amp;nbsp;into a cohesive, efficient factory design. You will collaborate closely with hardware engineering, science teams, robotics, facilities, and operations to create layouts that are safe, scalable, and engineered for high-throughput autonomous research. This role is central to translating complex cross-functional requirements into a factory environment that enables Lila’s next-generation scientific capabilities.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the end-to-end factory layout, including spatial planning, adjacency mapping, and utility requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate\u0026amp;nbsp;lab instrumentation\u0026amp;nbsp;layouts from diverse scientific and engineering domains into a unified, high-performance factory design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with hardware, robotics, science, automation,\u0026amp;nbsp;safety,\u0026amp;nbsp;and facilities\u0026amp;nbsp;teams\u0026amp;nbsp;to incorporate requirements for utilities, safety, accessibility, maintenance, and environmental controls.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and\u0026amp;nbsp;maintain\u0026amp;nbsp;accurate\u0026amp;nbsp;2D and 3D\u0026amp;nbsp;CAD models of the full factory layout; drive version control and change management for layout updates.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with robotic teams to run simulations and scenario analyses to assess throughput, operational efficiency, and bottlenecks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with construction, facilities, and external vendors to ensure physical buildouts reflect the intended design and can scale with future demand.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop standards, documentation, and layout guidelines for new\u0026amp;nbsp;lab\u0026amp;nbsp;instrumentation\u0026amp;nbsp;and factory expansions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS\u0026amp;nbsp;degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Systems Engineering, or related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing factory, lab, or production layouts in high-complexity environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency\u0026amp;nbsp;with CAD tools (e.g., AutoCAD, REVIT, SolidWorks).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong\u0026amp;nbsp;understanding of workflow optimization, material flow, ergonomics, and spatial systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to collaborate across multidisciplinary engineering and scientific teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear communication and documentation skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with robotic or automated systems and their physical integration into facilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with lab/industrial utility requirements (HVAC, gases, power, chemicals, drainage).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in R\u0026amp;amp;D facilities, pilot plants, or advanced automation environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$163,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$228,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4095531009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4064584009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4095531009,"updated_at":"2026-05-14T17:07:25-04:00","requisition_id":"7271","title":"Staff / Principal Mechanical Engineer ","company_name":"Lila Sciences","first_published":"2026-01-13T16:28:55-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span class=\u0026quot;notion-enable-hover\u0026quot; data-token-index=\u0026quot;0\u0026quot;\u0026gt;Lila Sciences is seeking an experienced Staff/Principal Mechanical Engineer to join our Hardware \u0026amp;amp; Controls Engineering team. The specific title (Staff or Principal) will be determined based on experience level and expertise. As a key technical leader, you\u0026#39;ll leverage your deep expertise to design and engineer components for workcell robotics, mechanical systems, and automation across life science and physical science domains. You\u0026#39;ll collaborate with experimental scientists, AI/ML scientists, software/controls engineers, and process/automation engineers to lead complex projects, guide multidisciplinary teams, and deliver state-of-the-art automation solutions.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead the design and implementation of bench-scale robotics and mechanical systems for sophisticated automation in life science and physical science applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design innovative pneumatic, electro-mechanical, and optical solutions for advanced robotic workcells used in biological research and materials discovery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and mentor teams in advanced CAD design and analysis using SolidWorks, optimizing systems for high-throughput workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct the creation and validation of designs through 3D printing, laser cutting, and other rapid prototyping methods.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead cross-functional collaborations to integrate mechanical designs with software and controls across scientific domains.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop strategies to transform manual processes into automated workflows while maintaining rigorous safety and quality standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate with external vendors for custom component development and system integration.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s or Master\u0026#39;s degree in Mechanical Engineering, Robotics, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of mechanical engineering experience with proven expertise in life science and physical science automation (title will be determined based on experience \u0026amp;amp; expertise).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive proficiency in SolidWorks CAD design, GD\u0026amp;amp;T, and DFMA\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive proficiency working with \u0026amp;amp; implementing requirement management systems, product lifecycle management, \u0026amp;amp; product data management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated leadership in managing complex projects and mentoring engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep experience in automation across scientific domains, with expertise in SolidWorks CAD design, PDM Vault management, rapid prototyping, and mechanical testing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert knowledge of motion control and mechatronic systems for diverse scientific applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in automated systems and robotic integration for biological research, and materials science in the biotech sector.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated strong attention to detail in documentation, adherence to standards, and equipment management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in automotive manufacturing, battery manufacturing, semiconductor manufacturing, and packaging with discrete material movement.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$163,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$228,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4210472009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4123455009,"location":{"name":"Cambridge, MA USA; London, UK; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4210472009,"updated_at":"2026-05-14T17:07:40-04:00","requisition_id":"7451","title":"Staff / Principal Research Engineer, AI Safety, Technical Mitigations","company_name":"Lila Sciences","first_published":"2026-04-07T15:54:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc.), to prepare for risks from scientific superintelligence. The initial focus of this team will be to build and implement a bespoke safety strategy for Lila, tailored to its specific goals and deployment strategies. This will involve technical safety strategy development, broader ecosystem engagement, safety-focused evaluations, safety systems to mitigate risks, and a safety research agenda that explores longer-term needs such as oversight of superintelligent scientific systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re seeking a Technical Mitigations Lead, to lead the build out of safety systems at Lila for the safe deployment of our scientific capabilities to the world. Given the novelty of Lila’s workflows, integrating frontier-class language models with narrow scientific tools and lab-based automation, this role will require the design and deployment of technical safeguards beyond the current state-of-the-art.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We expect the person in this role to start off the initial mitigations build-out, and then slowly build a team to support this function.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Set the build and research strategy for Lila’s safety systems, across scientific data analysis and generation pipelines, safety post-training, refusal classifiers, automated safety-testing / red-teaming systems, and monitoring systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct initial safeguards experimentation and buildout for Lila’s specific scientific needs, and subsequently lead a small team to execute on the build and research agenda\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead safety systems research to iterate Lila’s systems beyond the state of the art, given the needs of technical safeguards for both in silico and lab-based scientific workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Other members of the safety team, such as domain-specific experts (bio, chem, materials) and eval buildout teams, and\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Non-safety teams, such as core AI, lab automation, and product teams,\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributing to broader, high-quality research efforts - as and when needed - for scientific capability evaluation and restriction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to external communications on Lila’s safety efforts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Track record of building safety systems, classifiers, or conducting post-training for frontier-class problems - science, reasoning, programming, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;4-6+ years working in technically engineering with ML systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building scalable, production systems, not just prototypes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to set research directions for open problems in post-training, classifier buildouts, and other relevant systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to communicate complex technical concepts and concerns to non-expert audiences effectively.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in developing or applying ML to biological or physical sciences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in building safeguards for scientific risks for frontier models / narrow scientific tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to lead teams towards engineering goals\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$224,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$336,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4011901009,"name":"AI","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4250063009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4146179009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4250063009,"updated_at":"2026-05-21T18:35:19-04:00","requisition_id":"7510","title":"Staff Software Engineer, Lab Software","company_name":"Lila Sciences","first_published":"2026-05-21T18:35:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in shaping the future of science! We are seeking \u0026lt;strong\u0026gt;Staff Software Engineers with backend experience\u0026lt;/strong\u0026gt; to join our Lab Software Team (LaS), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About The Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Lab as Software Team (LaS) acts as the physical and virtual execution layer for Lila\u0026#39;s AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design \u0026amp;amp; Build UI and APIs:\u0026lt;/strong\u0026gt; Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Database Architecture \u0026amp;amp; Scaling:\u0026lt;/strong\u0026gt; Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Application Development:\u0026lt;/strong\u0026gt; Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance \u0026amp;amp; Reliability:\u0026lt;/strong\u0026gt; Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; Infrastructure:\u0026lt;/strong\u0026gt; Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Collaboration:\u0026lt;/strong\u0026gt; Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need To Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bachelor’s or Master’s degree\u0026lt;/strong\u0026gt; in Computer Science, Engineering, or related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;8+ years of engineering experience\u0026lt;/strong\u0026gt; building and deploying large-scale systems in production. You must be strong in backend.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Full Stack Development\u0026lt;/strong\u0026gt;: Experience developing web apps across the full stack (React, TypeScript, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands on experience using AI coding assistants to drive productivity is required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication \u0026amp;amp; Collaboration\u0026lt;/strong\u0026gt;: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Problem Solving\u0026lt;/strong\u0026gt;: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Domain Background:\u0026lt;/strong\u0026gt; Exposure to laboratory software for life sciences, material sciences, or related fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lab Automation Experience:\u0026lt;/strong\u0026gt; Experience with laboratory devices, robotics, or hardware drivers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestration Systems:\u0026lt;/strong\u0026gt; Experience with software orchestration platforms (Airflow, Prefect, Temporal, Dagster) and design patterns\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; DevOps Knowledge:\u0026lt;/strong\u0026gt; Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$256,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4248045009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4144935009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4248045009,"updated_at":"2026-05-21T18:34:59-04:00","requisition_id":"7505","title":"Staff Software Engineer, Scientific System of Record","company_name":"Lila Sciences","first_published":"2026-05-21T18:33:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a \u0026lt;strong\u0026gt;Staff Software Engineer\u0026lt;/strong\u0026gt; to join our \u0026lt;strong\u0026gt;Scientific System of Record\u0026lt;/strong\u0026gt; \u0026lt;strong\u0026gt;Team\u0026lt;/strong\u0026gt; and help build the next-generation AI-driven scientific platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will focus on developing user interfaces, services, high-performance APIs, databases, and reliable systems that integrate advanced AI frameworks with complex scientific analytics and laboratory workflows. You’ll work closely with ML researchers, platform engineers, and scientists to develop systems that can handle diverse workloads and scale seamlessly, including structured SQL databases, data lakehouses, workflow engines, and lab execution environments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an opportunity to apply your deep front-end and backend expertise to a cutting-edge AI platform with real scientific impact. If you are passionate about building performant, elegant systems, we would love to hear from you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About The Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Scientific System of Record Team (SSR) builds the memory layer for Lila\u0026#39;s operations. It answers two questions:\u0026lt;em\u0026gt;what did we plan to build?\u0026lt;/em\u0026gt; and \u0026lt;em\u0026gt;what actually happened?\u0026lt;/em\u0026gt; These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;User Interfaces and APIs:\u0026lt;/strong\u0026gt; Design and build high-performance, secure, and well-documented UIs and APIs that integrate with AI-driven applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Database Architecture and Scaling:\u0026lt;/strong\u0026gt; Develop schemas and manage diverse data systems, including SQL, NoSQL, vector databases, and other emerging technologies, for performance and scalability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Application Development:\u0026lt;/strong\u0026gt; Drive implementation of front-end and backend services with a focus on performance, maintainability, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance and Reliability:\u0026lt;/strong\u0026gt; Diagnose and resolve system bottlenecks while ensuring high availability and low-latency performance across large-scale workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud and Infrastructure:\u0026lt;/strong\u0026gt; Leverage AWS services, Kubernetes, and modern DevOps practices to build and deploy production-grade systems at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Collaboration:\u0026lt;/strong\u0026gt; Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bachelor’s or Master’s degree\u0026lt;/strong\u0026gt; in Computer Science, Engineering, or related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6–8+ years of engineering experience building and deploying large-scale systems in production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong expertise in at least one of the following areas, with the ability to work across the stack: front-end engineering, backend engineering, or data modeling and system design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;TypeScript, React, and Python:\u0026lt;/strong\u0026gt; Strong experience with React and TypeScript is required; Python experience is strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Databases:\u0026lt;/strong\u0026gt; Strong experience with SQL, NoSQL, and emerging database technologies such as vector databases; proven track record in schema design, indexing, and query optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;API Development:\u0026lt;/strong\u0026gt; Proven ability to design and scale RESTful or GraphQL APIs with a focus on reliability and performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience using AI coding assistants to improve engineering productivity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scientific or Data-Intensive Domains:\u0026lt;/strong\u0026gt; Experience working in life sciences, materials science, or other research-heavy or data-intensive fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication and Collaboration:\u0026lt;/strong\u0026gt; Strong listening skills and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Problem Solving:\u0026lt;/strong\u0026gt; Proven ability to take ownership of complex technical challenges while balancing trade-offs between scalability, performance, and maintainability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud and DevOps:\u0026lt;/strong\u0026gt; Hands-on experience with AWS, GCP, or Azure; strong understanding of Kubernetes, containerization, infrastructure as code such as Terraform or CloudFormation, and CI/CD pipelines such as GitHub Actions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestration Systems:\u0026lt;/strong\u0026gt; Experience with orchestration tools such as Flyte, Temporal, Airflow, Prefect, or similar systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building laboratory, scientific workflow, LIMS, ELN, data platform, or ML platform products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing systems that support auditability, traceability, reproducibility, data provenance, or regulated workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$144,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$288,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4022721009,"name":"Software","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null},{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4259557009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4151874009,"location":{"name":"Cambridge, MA USA; San Francisco, CA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4259557009,"updated_at":"2026-06-01T13:24:07-04:00","requisition_id":"8533","title":"Technical Program Manager, AI Data","company_name":"Lila Sciences","first_published":"2026-06-01T13:24:07-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila is building toward scientific superintelligence, which depends on a steady supply of high-quality, purpose-built AI data. We\u0026#39;re looking for a Senior or Principal Technical Program Manager to join our AI Research team to drive multiple AI data generation and curation workstreams — standing up new project teams, keeping them on schedule, and incorporating that data into the model training pipeline.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You don\u0026#39;t need to be an ML researcher, but you must be genuinely curious about how AI data fuels model development and able to clearly articulate what your programs will deliver. The successful candidate thrives in ambiguity, communicates exceptionally well across audiences, and knows how to build clarity and momentum on a fast-paced, rapidly scaling team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Launch and operate cross-functional project teams that produce AI data for scientific superintelligence, ensuring each team executes with at high velocity and delivers standardized outputs the model training team can directly consume.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the key communication interface between project teams and the research, science, and model training organizations; set up the organizational information flows that allow this communication to happen with speed at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive accountability across distributed, cross-functional teams without relying on direct authority; build consensus through clear communication and sound judgment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and enforce data delivery standards, QA gates, and handoff protocols so model training receives consistent, high-quality inputs across all active project teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement best practices for rapid experimentation and iteration, enabling new project teams to ramp efficiently as additional data initiatives come online.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop clear documentation and reporting to communicate vision, track progress, and align project team work with broader AI Research priorities; represent program status and risks accurately even when the picture is uncertain or evolving.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s or Master\u0026#39;s degree in Computer Science, Engineering, Life Sciences, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of program or project management experience in the technology or life sciences field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience leading cross-functional programs and driving them to successful completion under tight delivery timelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical and problem-solving skills, with the ability to turn technical and data requirements into actionable program roadmaps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional written and verbal communication skills; track record of producing executive-quality documents, roadmaps, and updates that drive decisions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Direct experience in AI/ML research or product organizations, ideally in a program management or research operations capacity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working familiarity with model training data pipelines, dataset curation, or ML evaluation workflows — sufficient to engage credibly with researchers and ask good questions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing programs that produce standardized outputs for downstream technical consumers (e.g., model training, eval, or platform teams).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enthusiastic about emerging technologies and experienced in driving rapid experimentation and program iteration.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$224,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$336,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4011901009,"name":"AI","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null},{"id":4011688009,"name":"San Francisco, CA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4251188009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4146894009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4251188009,"updated_at":"2026-05-26T11:56:02-04:00","requisition_id":"8522","title":"Technical Program Manager, Robotics","company_name":"Lila Sciences","first_published":"2026-05-26T11:56:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila\u0026#39;s Robotics team builds the autonomous robotic systems that power scientific experimentation across the company. The team\u0026#39;s scope spans hardware, controls, software, and AI integration, with growing cross-department collaboration as the platform matures.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring a Technical Program Manager (TPM) to help keep that work organized, on schedule, and clearly communicated. You\u0026#39;ll support engineers and partner teams by tracking projects, surfacing risks, keeping documentation current, and helping the team operate with clarity as the work scales. You\u0026#39;ll grow into broader program ownership as you build context. The right candidate is organized, comfortable working across functions, and curious about how robotics, AI, and hardware come together.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Coordinate day-to-day execution of cross-functional projects within Robotics and collaborations with other Lila departments, tracking milestones, dependencies, and risks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain clear project documentation, status updates, and meeting notes so engineers and partner teams stay aligned.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the planning and kickoff of new workstreams, defining scope, timelines, and deliverables alongside team leads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Surface blockers early and help drive them to resolution across hardware, software, AI, and integration partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve standard practices for project intake, prioritization, and handoffs as the Robotics portfolio scales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate program status to Robotics leadership and cross-department stakeholders in clear, accurate, decision-ready summaries.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree or higher in a technical field, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of cross-department program coordination, project management, or technical operations experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on advanced robotics programs (autonomous systems, manipulation, mobile robotics, or similar).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to manage multiple projects in parallel and keep them on schedule.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written and verbal communication; produces clear status updates, notes, and documentation without prompting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working across functions with engineers, scientists, and other technical contributors.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Genuine curiosity about how robotics, AI, and hardware-software integration come together.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior exposure to robotics, hardware, or other physical engineering programs in industry or academia.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with project management tools and a habit of using them well.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting programs with technical handoffs between hardware, software, and controls teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of robotics, AI/ML, or controls systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$96,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$158,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4040086009,"name":"Robotics","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4232839009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4135958009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4232839009,"updated_at":"2026-05-18T11:11:10-04:00","requisition_id":"7482","title":"Vice President, Engineering","company_name":"Lila Sciences","first_published":"2026-04-25T08:47:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As Lila scales its AI Science Factories globally, the VP of Engineering will create and sustain an engineering model for a unified, scalable platform for autonomous experimentation. This role will be responsible for defining and implementing that platform across hardware, automation, and systems engineering. This executive will own strategy, execution, and talent across Lila’s systems, hardware, and automation engineering. The role sits on the senior leadership team, reports directly to the Chief Autonomous Science Officer, and interfaces directly with Robotics, Software, Operations, and Science teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The VP Engineering will bring deep technical experience in automation of lab science, a track record of building and leading multi-disciplinary engineering organizations, mentorship practices that foster career development of engineers at all levels, and the judgment to balance near-term delivery with long-term platform development. This is a hands-on leadership role in a fast-moving environment, requiring brilliance and dynamism to realize autonomous experimentation across materials science, chemistry, and life science. The role requires engineering innovations to achieve an unprecedented depth of AI integration in lab science, which combined with aggressive scaling of Lila’s AI Science Factories (AISFs) will produce the highest degree of scientific intelligence on earth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Set the engineering roadmap for ASP Engineering, including objectives, risks, and platform priorities via collaboration with the Robotics, Software, Science, and Product teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and drive a unified platform architecture across hardware, automation, and systems engineering, reducing one-off designs and enabling repeatable system deployment across sites\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish system-level ownership of architecture, interfaces, and requirements to ensure consistent integration across all engineering domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement efficient processes for lifecycle, design controls, safety and compliance, change management, and deployment of autonomous laboratories to support rapid scaling without compromising system consistency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop a repeatable deployment model for standing up global AI Science Factory sites with predictable performance and reliability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create a culture of mentorship that supports execution of the roadmap while fostering career development of engineers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Robotics and Software to build, industrialize, and scale all-of-science autonomous labs with a focus on reliability, throughput, and quality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate AI into the engineering lifecycle to bolster engineering speed and quality, decision making, and continuous improvement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with Talent Acquisition to establish hiring practices that accelerate identification and onboarding of brilliant, culturally-aligned engineers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with AI Research, Software, Product, and Science to align platform capabilities with scientific and commercial priorities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and communicate clear prioritization frameworks across engineering initiatives; translate organizational feedback into actionable systems and process improvements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Engineering with executive stakeholders and external partners; communicate tradeoffs, progress, and impact clearly\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partnering with external integrators, OEMs, and contractors to expand engineering capacity\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years building lab automation or relevant engineering systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years leading managers and multi-disciplinary teams at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record scaling automated labs or manufacturing-like lab operations, including instrument and robot integration, scheduling and orchestration, reliability engineering, and capacity planning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience integrating AI/ML into engineering, operations, and/or research environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and standardizing complex engineering systems from early-stage, project-based environments into scalable, repeatable platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to balance rapid experimentation with the introduction of structure required for scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical expertise across lab automation, controls/SCADA, and science instrumentation, including integration and co-development of robotics and software/data/compute platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong people and org leadership: recruiting and developing exceptional managers and ICs; building inclusive, high-ownership cultures that scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellence in retaining cultural and technical excellence across multiple sites of lab automation innovation and build-outs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Multi-domain engineering excellence (mechanical, controls, electrical, systems) and cross-discipline engineering fluency (robotics, software, computer)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience defining interface standards across hardware, robotics, and software systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience standing up lifecycle management (e.g., PLM-lite, change control, commissioning frameworks) in fast-moving environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Multi-domain science fluency (materials science, chemistry, life science)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years experience integrating LIMS, orchestration, schedulers, and reliability and observability pipelines in lab automation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing stage-gate transitions from R\u0026amp;amp;D to scaled operations across multiple sites\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$310,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$380,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013362009,"name":"Autonomous Science Platform","child_ids":[],"parent_id":null}],"offices":[{"id":4019809009,"name":"Alewife, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4146076009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4093390009,"location":{"name":"Cambridge, MA USA"},"metadata":[{"id":4340245009,"name":"Confidential?","value":false,"value_type":"yes_no"}],"id":4146076009,"updated_at":"2026-05-14T17:07:32-04:00","requisition_id":"7353","title":"Vice President, Head of Marketing","company_name":"Lila Sciences","first_published":"2026-02-25T10:43:40-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact at LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re seeking a Vice President / Head of Marketing focused on accelerating commercial growth and strategic partnerships. This role fuels pipeline, enables revenue, and increases partner-driven adoption across priority industry segments. Reporting line is flexible and can sit under our Chief Communication and works directly with the CEO/Founder, with day-to-day collaboration across Sales, Partnerships, Revenue, Product, and Scientific leadership. You will define and execute marketing motions that translate frontier science and technical capabilities into enterprise-ready programs that open doors, build trust, and close.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Be Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Drive commercial demand and pipeline\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and run an integrated demand engine targeting senior scientific and business buyers (R\u0026amp;amp;D leadership, innovation executives, technical decision-makers).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop account-based marketing programs for enterprise and strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and optimize channel mix across digital, field events, executive programs, and partner-led efforts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own reporting and iteration loops that connect marketing activity to pipeline outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Enable partnerships and ecosystem growth\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Create go-to-market motions with partners that generate qualified introductions and joint opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop partner-facing materials, co-marketing kits, and joint event strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and cultivate ecosystems that matter to LILA’s commercial expansion (scientific communities, industry networks, and mission-aligned institutions).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Build segment-specific positioning and sales enablement\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Translate LILA’s technical platform into clear, differentiated value propositions for priority verticals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Commercial leadership to define ICPs, buyer personas, and qualification narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver sales enablement: pitch narratives, technical collateral, case studies, ROI framing, objection handling, and competitive context.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support longer enterprise sales cycles with the right proof points at each stage.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Produce content that supports revenue and credibility\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop high-leverage content (technical briefs, case studies, webinars, white papers, executive narratives).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Package customer and partner outcomes into reusable assets that accelerate trust and decision-making.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure marketing outputs are consistent with LILA’s brand and narrative, in close coordination with Corporate Communications.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What success looks like (first 6–12 months)\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Clear commercial messaging and a repeatable set of sales assets for core segments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A measurable pipeline contribution engine tied to specific commercial targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner co-marketing motions that produce qualified opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A content and events strategy that materially improves credibility with enterprise scientific buyers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Need to Succeed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years in B2B marketing, with senior leadership experience in high-consideration enterprise or technical markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of driving pipeline and revenue outcomes (demand gen, ABM, field marketing, partner marketing).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong product/segment marketing instincts for complex technical products (AI, deep tech, SaaS, biotech, industrial tech).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work fluently with technical teams and translate technical truth into buyer-relevant value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building functions and operating systems from early stage to scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical and operational discipline, with comfort owning metrics and performance reviews.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborative leadership style with a high degree of ownership.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Points For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in vendor/partner ecosystems, or experience scaling marketing in AI-for-science contexts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in academic or research-domain communications, or with PhD communities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;U.S. Benefits.\u0026lt;/strong\u0026gt; Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;International Benefits.\u0026lt;/strong\u0026gt; Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Expected Base Salary Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$228,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$304,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About LILA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is building Scientific Superintelligence™ to solve humankind\u0026#39;s greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you\u0026#39;d love to work in, even if you don\u0026#39;t meet every qualification listed above, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We’re All In\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lila Sciences is\u0026amp;nbsp;committed to equal employment opportunity\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Information you provide during your application process will be handled in accordance with our \u0026lt;a href=\u0026quot;https://www.lila.ai/candidate-privacy-policy-notice\u0026quot;\u0026gt;Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;A Note to Agencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4013372009,"name":"Business Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4011687009,"name":"One Charles Park, Cambridge, MA","location":null,"child_ids":[],"parent_id":null}]}],"meta":{"total":120}}