Life Science Program Lead, AISF

Lila Sciences
Cambridge, MA USAPosted 28 April 2026

Tech Stack

Job Description

Your Impact at LILA We are looking for a Program Lead to own the strategy and execution of our Life Science artificial intelligence science factory (AISF) Program. This is a single-point-of-accountability role: you will design and execute a plan that is maximally responsive to the priorities of the Product, Revenue, and Science teams while leveraging and extending the Lila tech stack. Success requires deep collaboration with stakeholders, representation of the strategy to the executive team, and driving progress via delegative leadership, where cross-functional Project Teams execute the strategy via our team-of-teams operating model. Life Science AISFs span capabilities in cell biology, protein science, nucleic acid science, small molecule therapeutics, and targeted delivery — the experimental backbone that enables our AI to learn from biology at scale. This role sits at the intersection of deep domain expertise and strategic platform development, making it one of the most technically consequential leadership positions at Lila. What You'll Be Building Program Ownership Define the "How and When" in response to strategic "What and Why" inputs from Product, Science, and AI teams Propose, negotiate, and own Program Charters for Life Science AISFs, including scope, budget, timeline, and success criteria Collaborate with Finance to dynamically manage program budget and strategy throughout execution, escalating or reallocating as needed Technical Leadership Architect the strategy for expanding Life Science AISF capabilities across cell, protein, nucleic acid, small molecule screening, and delivery experimental platforms, in close coordination with the Product, AISF Engineering, Software, Robotics, and Life Science Experiment teams Evaluate proof-of-concept results from frontier Science Programs (e.g., Autoimmunity, Solid Tumor, Protein Persistence), align with Product on their value creation potential, and design their integration into the Life Science AISF platform Ensure new platform capabilities are well-scoped, derisked, and positioned to accelerate downstream Intelligence Programs Maintain and extend Lila's best-in-world autonomous science platform for life sciences Design the Life Science AISF to be a maximally expressive lab with unprecedented responsiveness to AI guidance Team and Execution Management Form and advise Life Science Project Teams; ensure teams have the resources, clarity, and support to execute autnomously Coordinate with Science Program Leads whose work depends on Life Science AISF capabilities Resolve resourcing conflicts within your program via collaboration with Product; escalate to senior leadership when a solution aligned to the approved charters cannot be identified Stakeholder Communication Represent Life Science AISF programs in Technical Leadership Team (TLT) reviews Communicate program status, risks, and strategic decisions to TLT and cross-functional partners What You’ll Need to Succeed PhD or equivalent experience in a life sciences discipline (cell biology, biochemistry, molecular biology, or related field), with substantial postdoctoral or industry research experience Track record of leading complex, multi-disciplinary experiment and lab automation programs Familiarity across multiple Life Science AISF domains (cell-based assays, protein characterization, nucleic acid workflows, or delivery systems) Experience with autonomous experiment platforms Experience defining and managing technical roadmaps with resource and timeline constraints Strong written and verbal communication, coupled with the ability to translate technical depth into strategic clarity for diverse audiences Bonus Points For Familiarity with AI/ML-driven experimental design or closed-loop science workflows Prior experience in a fast-paced, technology-driven research environment (biotech, pharma, or deep-tech startup) Experience working in a matrixed organization with shared resources across multiple co ... (truncated, view full listing at source)
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