Director/Senior Director, Product - Applied Data Science
Formationbio · New York, NY; Boston, MA
About this role
**About Formation Bio** Formation Bio is a tech and AI-driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress due to the high cost and time of clinical trials. Formation Bio (founded in 2016 as TrialSpark Inc.) has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. The company partners, acquires, or in-licenses drugs to develop programs past clinical proof of concept and beyond—ultimately helping bring new medicines to patients. Links: - https://www.formation.bio/blog/our-vision-for-ai-in-pharma - https://www.formation.bio/licensing-and-pipeline - https://www.formation.bio/technology --- **About the Position** This role sits on Formation’s Asset Acquisition & Diligence (AAD) team. In evaluating and completing diligence on individual drug assets, the Data Science team runs sophisticated one-off analyses (e.g., a novel algorithm run against a specific gene or indication, or a causal model built for a specific therapeutic hypothesis). Much of that work directly shapes deal decisions in the moment. The role exists to take those one-off analyses and scale them into strategies and tools that provide an organization-level advantage. You’ll own the judgment call of which asset-evaluation and diligence analyses have generalization potential across the AAD team’s sourcing and evaluation work—and what form that generalization should take (e.g., a landscape analysis vs. a fully engineered, scaled tool). This is a hybrid science and product role on AAD. You’ll set technical and product direction for a working team of data scientists and engineers (reporting to their functional leads). You’ll need enough technical depth to judge when a diligence method holds up at scale, and enough product judgment to know when “scale” means a single exhaustive analysis rather than a maintained tool. --- **Responsibilities** - Own the strategy for scaling Formation’s data science work for asset acquisition and diligence. Decide which one-off analyses have generalization potential, in what form (landscape analysis vs. scaled tool), and how to measure success. - Direct a working team spanning Data Science and Engineering day to day. Set the roadmap and sequence work based on business impact, coordinating with functional leads on resourcing. - Partner with Data Science and Business Development. Translate scientific findings into a scaled roadmap by understanding the science well enough to see generalization and alpha opportunities. - Guide the technical approach on methods being scaled, including statistical validity at exhaustive scale, pipeline design, and dataset evaluation. - Identify new opportunities for AI to impact Formation’s asset acquisition and diligence process, and pitch them to stakeholders with clear resourcing and business impact. --- **About You** - **7+ years of experience** in data science, applied science, or a technical product role with progressively broader scope, including at least one role accountable for turning analytical work into a deployed capability. - **Life sciences experience:** biotech/pharma (or related) and understanding of the drug development lifecycle well enough to judge where computational methods hold up. - **Strategic thinker:** decide what’s worth scaling based on business and scientific impact—not novelty or ease o
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