{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/sendabiosciences/jobs/8535399002","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":6408843002,"location":{"name":"Cambridge, MA"},"metadata":[{"id":21143282002,"name":"Position ID","value":"2026-01","value_type":"short_text"}],"id":8535399002,"updated_at":"2026-05-05T10:52:30-04:00","requisition_id":"230","title":"Director, Translational Biology \u0026 Biomarkers  ","company_name":"Sail Biomedicines ","first_published":"2026-05-04T21:46:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Sail\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Sail Biomedicines is pioneering the integrative design and deployment of fully programmable medicines to transform patient care. Sail’s platform combines first-in-class programmable circular RNA technology (Endless RNA™ or eRNA), and an industry-leading platform of programmable nanoparticles, utilizing natural components, to unlock comprehensive programming of medicines for the first time. By leveraging cutting-edge eRNA and nanoparticle deployment technology, Sail is also making unparalleled use of AI techniques to identify and design fully programmable medicines that are potent, targeted, versatile, and tunable. Sail was founded by Flagship Pioneering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Director, Translational Biology \u0026amp;amp; Biomarkers will be responsible for advancing biomarker strategies and translating scientific insights into actionable clinical outcomes. This leader will build the Biomarkers strategy to support Sail’s transition into clinical development, building internal capabilities while leveraging CRO capabilities.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This individual will bring broad technical expertise in bioassay development and bioanalytical measurements, qualification/validation, and data interpretation. The role will oversee development of PK, immunogenicity, and pharmacodynamic/bioassays across discovery and clinical stages aligned with the company’s expanding portfolio. In addition to supporting the lead program advancing to clinical development, the individual will also guide bioassay needs across several additional programs to increase assay standardization and robustness across functions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Translational Biomarker Strategy\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own and execute clinical biomarker plans in alignment with program team goals and clinical function.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and execute Sail’s biomarker strategies to support a clinical-stage portfolio, including biomarker-driven clinical study design and incorporation of biomarker endpoints for decision-making in early-stage clinical trials.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide scientific and technical leadership for development, qualification, validation, and lifecycle management of PK, ADA, neutralizing antibody, cell-based potency, and pharmacodynamic assays.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure assays are fit-for-purpose and aligned with regulatory expectations (GLP/GCLP), in close collaboration with Preclinical Pharmacology, Regulatory, Clinical, and Quality teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Oversee internal and external assay development activities, including CRO and central laboratory management, ensuring scientific rigor, data integrity, and timeline adherence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Review and approve assay validation plans, reports, and work orders from analytical laboratories.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze and interpret biomarker and immunogenicity data and communicate biological and clinical implications to support program decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define data transfer specifications in collaboration with translational science, data management, and data science teams to ensure high-quality clinical biomarker datasets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent the Biomarker function at internal and external meetings and provide project status updates related to biomarker deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional \u0026amp;amp; Operational Leadership\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with Clinical Operations to ensure appropriate collection, shipment, and analysis of clinical samples.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate with internal and external stakeholders (CROs, central labs, clinical sites) to address specimen-related and assay-related issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage timelines, budgets, and external partnerships for bioanalytical and biomarker programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advise senior and matrixed leaders on bioanalytical risk, strategy, and development trade-offs.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD or MD in Immunology, Cell Biology, or related scientific discipline with 10+ years of experience in a Biotech or Pharmaceutical setting; or equivalent combination of education and experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated expertise in bioassay development, qualification, validation, and regulatory submission support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep knowledge of PK, immunogenicity, cell-based functional assays, potency assays, and biomarker assay development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of drug development, regulatory processes, and clinical development, including GLP/GCLP bioanalytical expectations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience building and leading scientific teams in a growing biotech environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong strategic thinking, sound judgment, and ability to operate effectively in a fast-paced, matrixed organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of advancing multiple programs simultaneously and implementing creative, solution-oriented strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent interpersonal, communication, and organizational skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Salary Range:\u0026lt;/strong\u0026gt; $200,000 - $250,000\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Sail Biomedicines is an Equal Opportunity Employer. Sail does not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, national origin, veteran status, or any other status protected under federal, state, or local law.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4089924002,"name":"Sail - Development ","child_ids":[],"parent_id":4089925002}],"offices":[{"id":4016826002,"name":"Cambridge","location":"Cambridge, Massachusetts, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/sendabiosciences/jobs/8531876002","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":6407300002,"location":{"name":"Cambridge, MA"},"metadata":[{"id":21143282002,"name":"Position ID","value":"2026-02","value_type":"short_text"}],"id":8531876002,"updated_at":"2026-05-05T10:52:55-04:00","requisition_id":"229","title":"Senior Director, Delivery","company_name":"Sail Biomedicines ","first_published":"2026-04-30T15:45:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Sail\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Sail Biomedicines is pioneering the integrative design and deployment of fully programmable medicines to transform patient care. Sail’s platform combines first-in-class programmable circular RNA technology (Endless RNA™ or\u0026amp;nbsp;eRNA), and an industry-leading platform of programmable nanoparticles,\u0026amp;nbsp;utilizing\u0026amp;nbsp;natural components, to unlock comprehensive programming of medicines for the first time. By\u0026amp;nbsp;leveraging\u0026amp;nbsp;cutting-edge\u0026amp;nbsp;eRNA\u0026amp;nbsp;and nanoparticle deployment technology, Sail is also making unparalleled use of AI techniques to\u0026amp;nbsp;identify\u0026amp;nbsp;and design fully programmable medicines that are potent, targeted, versatile, and tunable. Sail was founded by Flagship Pioneering.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Sr Director, Delivery will be responsible for advancing Sail’s targeted nanoparticle delivery platform, with a particular focus on lipid nanoparticle (LNP) technologies for cell-specific delivery of RNA therapeutics. This role will lead the strategy and execution of delivery innovation from early discovery through preclinical development, enabling robust, scalable, and translatable delivery solutions across Sail’s pipeline.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This individual will bring deep technical expertise in lipid nanoparticle design and formulation, as well as demonstrated experience in targeted delivery approaches, including ligand-mediated targeting, bioconjugation, and receptor-specific delivery strategies. They will play a central role in shaping Sail’s delivery capabilities, expanding tissue and cell-type reach, and unlocking new therapeutic applications.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Sr Director will operate at the intersection of Platform, Programs and Technical Development, working cross-functionally to translate delivery innovations into high-impact programs. They will lead a team of scientists and serve as a key thought partner to senior leadership on delivery strategy, platform investments, portfolio prioritization, and technical risk.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is accountable for the foundational and Delivery capability at Sail, ensuring that targeted nanoparticle systems are not only innovative but also translatable and scalable, enabling continued pipeline progression to development candidates.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Delivery Leadership and Strategy\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and grow Sail’s Delivery team, advancing lipid nanoparticle (LNP) and targeted delivery technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive innovation in targeted nanoparticles, including design, formulation, ligand selection and conjugation, receptor-mediated uptake, and cytosolic delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and execute delivery strategy across tissues and disease areas, guiding nanoparticle engineering for precise targeting and biodistribution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and apply high-throughput screening approaches to evaluate delivery performance, including biodistribution, cellular uptake, and functional expression.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Program teams to advance multiple development candidates, improving efficiency, specificity, and translatability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Technical Development to ensure scalable, robust processes supporting progression to clinic.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Cross-Functional \u0026amp;amp; Operational Leadership\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead cross-functional delivery efforts to advance programs from concept through candidate nomination.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with ligand design and program teams to align delivery strategies with disease biology and therapeutic goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and mitigate key delivery risks to enable program success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive integrated planning across delivery activities, aligning timelines, milestones, and resources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage external collaborations, including CROs and technology partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advise senior leadership on delivery strategy, portfolio prioritization, and execution risks.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD or MD in drug delivery, chemical engineering, materials science, pharmaceutical sciences, or a related discipline with 12+ years of relevant industry experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in lipid nanoparticle (LNP) systems, including formulation development, lipid chemistry, and in vitro/in vivo evaluation of delivery performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience in targeted delivery approaches, including ligand conjugation, receptor-mediated targeting, and nanoparticle surface engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of nucleic acid delivery challenges, including biodistribution, cellular uptake, endosomal escape, and immunogenicity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience advancing delivery technologies toward IND-enabling studies or clinical translation, with an appreciation for scalability, manufacturability, and regulatory considerations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of advancing delivery technologies from discovery through preclinical development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and leading multidisciplinary scientific teams in a fast-paced biotech environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to operate strategically while remaining deeply connected to scientific detail and execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong cross-functional leadership skills, with experience working across chemistry, biology, process development, and translational teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills, with the ability to influence senior stakeholders and clearly articulate complex technical concepts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Salary Range:\u0026lt;/strong\u0026gt; $235,000 - $290,000\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Sail Biomedicines is an Equal Opportunity Employer. Sail does not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, national origin, veteran status, or any other status protected under federal, state, or local law.\u0026lt;/em\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4089920002,"name":"Sail - Platform","child_ids":[],"parent_id":4089925002}],"offices":[{"id":4016826002,"name":"Cambridge","location":"Cambridge, Massachusetts, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/sendabiosciences/jobs/8573218002","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":6424280002,"location":{"name":"Cambridge, MA"},"metadata":[{"id":21143282002,"name":"Position ID","value":"0","value_type":"short_text"}],"id":8573218002,"updated_at":"2026-06-01T13:28:58-04:00","requisition_id":"231","title":"Senior Scientist I, Data Science ","company_name":"Sail Biomedicines ","first_published":"2026-06-01T13:28:58-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;The Position\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134245418\u0026amp;quot;:true,\u0026amp;quot;134245529\u0026amp;quot;:true,\u0026amp;quot;335559738\u0026amp;quot;:40}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Join our team and drive the future of programmable\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;eRNA\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-fontsize=\u0026quot;12\u0026quot; data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;TM\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;therapeutics\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;and\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;em\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;In Vivo\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;CAR-T therapies- where AI-driven biology, targeted delivery systems and next-generation immunotherapy converge to redefine\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;what\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;’\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;s\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;possible for patients\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;As a key member of the Sail Biomedicines\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Data Science\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;team, the Senior Scientist I will operate at the interface of\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;platform and\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;program\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;, applying data-driven approaches to\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;champion\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;\u0026amp;nbsp;broad platform efforts\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;\u0026amp;nbsp;hands-on analysis of preclinical datasets\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;to transform the treatment\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;landscape for autoimmune disease\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;s\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;,\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;\u0026amp;nbsp;and beyond\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134245418\u0026amp;quot;:true,\u0026amp;quot;134245529\u0026amp;quot;:true,\u0026amp;quot;335559738\u0026amp;quot;:40}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;The\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;\u0026amp;nbsp;ideal candidate will combine strong biological insight with quantitative rigor,\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;applying data-driven approaches to extract actionable\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;understanding from complex preclinical and\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;platform\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;\u0026amp;nbsp;datasets\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;\u0026amp;nbsp;while helping\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;establish\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;\u0026amp;nbsp;scalable computational foundations for\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;future discovery efforts.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;In addition to supporting\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;in vivo CAR immunology programs,\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;this role\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;will co\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;ntribute to emerging capabilities in\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;systems\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;modeling\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;,\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;computational protein design,\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;\u0026amp;nbsp;molecular\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;modeling,\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;\u0026amp;nbsp;and AI/ML-enabled therapeutic\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;engineering\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;Partnering closely with experimental scientists, you will\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;spearhead efforts to\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;translate\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;platform and program\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;data into actionable understanding of biology, enabling rapid iteration across our therapeutic learn\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;ing\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;\u0026amp;nbsp;cycle.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Responsibilities\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134245418\u0026amp;quot;:true,\u0026amp;quot;134245529\u0026amp;quot;:true,\u0026amp;quot;335559738\u0026amp;quot;:40}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Perform in-depth analysis of\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;preclinical\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;and platform\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;\u0026amp;nbsp;datasets\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;,\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;including immunophenotyping, functional assays, and multi-omics data\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;to support both therapeutic programs and\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;platform development\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Integrate and interpret data across studies\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;and contexts\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;to generate\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;biological insights\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;that inform CAR activity, persistence, immune\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;dynamics\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;\u0026amp;nbsp;and platform-level understanding of our therapeutics\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Collaborate closely with immunology and platform teams to \u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;inform experimental design and interpret results\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Work \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;resourcefully with\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;internal\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;/\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;external datasets to\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;contextualize findings and strengthen conclusions\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Apply statistical and \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;systems modeling to\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;develop\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;deeper\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;understanding of\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;product and platform\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;attributes and performance.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Apply \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;and promote\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;best practices in\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;data structuring, annotation, and metadata usage\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;to\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;enable\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;reliable\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;,\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;scalable\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;and reusable\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;downstream analysis\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;across programs and platform efforts\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Develop and \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;maintain\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;reproducible analysis workflows\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;, with clear documentation and version control\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;(Git)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;and c\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;ontribute to\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;a\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;well-organized data environment by following\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;FAIR-aligned practices\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;in day-to-day work\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;6\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Communicate findings clearly \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;with collaborators\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;through visualizations, presentations, and written summaries\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134245418\u0026amp;quot;:true,\u0026amp;quot;134245529\u0026amp;quot;:true,\u0026amp;quot;335559738\u0026amp;quot;:40}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Qualifications\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134245418\u0026amp;quot;:true,\u0026amp;quot;134245529\u0026amp;quot;:true,\u0026amp;quot;335559738\u0026amp;quot;:40}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;Required:\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134245418\u0026amp;quot;:true,\u0026amp;quot;134245529\u0026amp;quot;:true,\u0026amp;quot;335559738\u0026amp;quot;:40}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;10\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Ph.D. in Computational Biology, Bioinformatics, Systems Biology,\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Biophysics\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;or related field\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;10\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;3+ years of experience analyzing \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;multifaceted\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;biological datasets in biotech, pharma, or academia\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;10\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Firsthand experience \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;working\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;in CAR-T\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;or RNA\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;therapeutics\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;10\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Demonstrated experience \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;apply\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;ing\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;modeling (statistical, system) to biological data\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;10\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Strong \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;expertise\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;in\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;high-dimensional data analysis\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;(e.g., RNA-seq, single-cell, in vivo studies)\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;with the ability to\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;transform\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;raw data to\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;refined\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;downstream biological interpretations\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;10\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Proficiency\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;in Python and/or R, with strong data analysis and visualization skills\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;and a firm grasp of modern statistics\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;(mixed models, Bayesian methods, etc.)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;10\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Experience building \u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;reproducible and well-documented analysis workflows\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;(\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Nextflow\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;,\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Snakemake\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;and\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;applying sound data orga\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;nization\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;\u0026amp;nbsp;and m\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;etadata practices\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;10\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;Demonstrated ability to champion cross-functional efforts in close collaboration with experimental scientists, taking ownership and driving insights even in areas outside your core subject matter \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;expertise\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134245418\u0026amp;quot;:true,\u0026amp;quot;134245529\u0026amp;quot;:true,\u0026amp;quot;335559738\u0026amp;quot;:40}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;Preferred:\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;Computational design of Antibody/\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;VHH/\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;scFv\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;/CAR proteins\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;Experience in \u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;immunology, cell therapy, or CAR biology\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;, particularly in vivo systems\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;Experience \u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;integrating complex\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;\u0026amp;nbsp;datasets\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;\u0026amp;nbsp;and cross-study\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;meta-analysis\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;Exposure to \u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;cloud-based or collaborative data environments\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;\u0026quot; data-font=\u0026quot;Symbol\u0026quot; data-listid=\u0026quot;5\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769226\u0026amp;quot;:\u0026amp;quot;Symbol\u0026amp;quot;,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;Track record\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;\u0026amp;nbsp;of impactful scientific contributions (publications or program support)\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;heading 3\u0026quot;\u0026gt;About Sail Biomedicines\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134245418\u0026amp;quot;:true,\u0026amp;quot;134245529\u0026amp;quot;:true,\u0026amp;quot;335559738\u0026amp;quot;:40}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;Sail Biomedicines is building a new class of\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-charstyle=\u0026quot;Strong\u0026quot;\u0026gt;fully programmable medicines\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;\u0026amp;nbsp;by integrating circular RNA (\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;eRNA\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-parastyle=\u0026quot;Normal (Web)\u0026quot;\u0026gt;™), targeted nanoparticle delivery, and advanced computational approaches. Our platform enables the systematic design and optimization of therapies, unlocking new possibilities across immunology and beyond.\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true}\u0026quot;\u0026gt;Salary Range: \u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true}\u0026quot;\u0026gt;$130,000 - $170,000\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;134233117\u0026amp;quot;:true,\u0026amp;quot;134233118\u0026amp;quot;:true}\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Sail Biomedicines is an Equal Opportunity Employer. Sail does not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, national origin, veteran status, or any other status protected under federal, state, or local law.\u0026lt;/em\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4089919002,"name":"Sail - AI/ML","child_ids":[],"parent_id":4089925002}],"offices":[{"id":4016826002,"name":"Cambridge","location":"Cambridge, Massachusetts, United States","child_ids":[],"parent_id":null}]}],"meta":{"total":3}}