Director, Scaled AI for Drug Asset Diligence

Formation; Town of Boston (NY); Hybrid; USD 245,000 - 307,000; Full time

Job summary

Formation Bio seeks a Director/Senior Director of Product - Applied Data Science to scale asset evaluation and diligence analyses. You will guide a team of data scientists and engineers, translating scientific findings into scalable strategies and tools that inform sourcing and drug asset decisions.

You will balance deep technical judgment with product sense to decide when to scale a method or build a maintained tool, contributing to faster, more reliable drug development decisions.

Qualifications

• 7+ years of experience in data science, applied science, or a technical product role with progressively broader scope, including at least one role where you were accountable for turning analytical work into a deployed capability.
• Life sciences experience: you've worked in biotech, pharma, or a related industry, and understand the drug development lifecycle well enough to have informed opinions about where a computational method holds up and where it doesn't.
• Strategic thinker: you decide what's worth scaling based on business and scientific impact, not novelty or ease of building.
• AI/ML fluency: you can evaluate whether a method remains valid at exhaustive scale, make build-vs-buy calls on tooling, and push for AI/ML approaches where they create real leverage.
• Technical fluency: you can engage deeply with data scientists and engineers on method, architecture, and trade-offs.
• Cross-functional influence: you've directed or coordinated technical teams, including engineers and data scientists.
• Business fluency: you can discuss diligence findings, asset valuation, and scientific risk with senior leaders.
• Comfortable with ambiguity and autonomy: this is a new function at Formation, and the scope will be defined by you.
• Mission-driven: you care about getting medicines to patients faster.

Responsibilities

• Own the strategy for scaling Formation's data science work for asset acquisition and diligence, deciding which analyses scale and how to measure success.
• Direct a working team spanning Data Science and Engineering, set the roadmap, and coordinate resourcing for impact.
• Collaborate with Data Science and Business Development as strategic partners to translate findings into a scaled roadmap with generalization opportunities.
• Guide the technical approach on scaled methods, ensuring statistical validity and sound architecture when scaling.
• Identify opportunities for AI to impact asset acquisition and diligence and pitch them with clear resource and business impact.

Job description

Formation Bio seeks a Director/Senior Director of Product - Applied Data Science to scale asset evaluation and diligence analyses. You will guide a team of data scientists and engineers, translating scientific findings into scalable strategies and tools that inform sourcing and drug asset decisions.

You will balance deep technical judgment with product sense to decide when to scale a method or build a maintained tool, contributing to faster, more reliable drug development decisions.