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Formation Bio

AI-driven platform accelerates clinical-stage drug development

Director/Senior Director - Product, Applied Data Science

Data ScienceConfirmed live in the last 24 hours
Full-timeBoston, MA, USAHybrid

About the Job

Requirements

  • At least 7 years of experience in data science, applied science, or a technical product role with progressively broader scope, including accountability for turning analytical work into a deployed capability in at least one role.
  • Experience in biotech, pharma, or a related life sciences industry and understanding of the drug development lifecycle sufficient to assess computational methods.
  • Ability to assess whether analytical work should be scaled based on business and scientific impact.
  • Ability to evaluate whether methods remain valid at exhaustive scale, make build-versus-buy decisions on tooling, and identify where AI/ML approaches create leverage.
  • Technical fluency to engage with data scientists and engineers on methods, architecture, and trade-offs, and to identify when a statistical approach does not generalize beyond a single case.
  • Experience directing or coordinating technical teams, including engineers and data scientists.
  • Ability to discuss diligence findings, asset valuation, and scientific risk with senior leaders.

Responsibilities

  • Own the strategy for scaling data science work for asset acquisition and diligence, deciding which one-off analyses have generalization potential, whether to create landscape analyses or scaled tools, and how to measure success.
  • Direct a working team spanning Data Science and Engineering day to day; set the roadmap, sequence work based on business impact, coordinate resourcing with functional leads, and execute against the roadmap with clear links to business impact.
  • Partner strategically with Data Science and Business Development, translating scientific findings into a scalable roadmap by identifying generalization and alpha opportunities rather than simply taking feature requests.
  • Guide the technical approach for methods being scaled, including statistical validity at exhaustive scale, pipeline design, and dataset evaluation; assess soundness and push back when needed.
  • Work with scientific and technical teams to identify new opportunities for AI to affect asset acquisition and diligence, and pitch them to stakeholders with clear explanations of resourcing and business impact.

About the Company

Formation Bio

AI-driven platform accelerates clinical-stage drug development

Formation Bio uses an AI-driven platform to speed up drug development by focusing on clinical-stage assets. It acquires and advances these assets using flexible financing structures, aiming to shorten timelines and cut costs for bringing new drugs to market. The core product is the proprietary AI tools that help with drug selection, development planning, and improving overall efficiency, enabling partnerships and successful commercialization with pharmaceutical and biotech companies. Compared with competitors, Formation Bio combines a data-powered approach with adaptable financing and asset acquisition strategies to move assets forward quickly and cost-effectively. The goal is to make treatments more accessible and affordable by accelerating development and enabling faster, more predictable commercialization through AI-enhanced decision making and flexible funding options.

Company size
51-200
Company stage
Series D
Total funding
$530.3M
Headquarters
New York City, New York
Founded
2013

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