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About the Role

This role is on Formation's Asset Acquisition & Diligence (AAD) team, focusing on scaling one-off data science analyses into organizational advantages. You will identify analyses with generalization potential, determine the appropriate form for scaling (e.g., landscape analysis, engineered tool), and serve as the link between ad-hoc diligence work and durable capabilities. This hybrid science and product role involves setting technical and product direction for a team of data scientists and engineers, requiring both technical depth and product judgment to impact how Formation sources and evaluates drug assets.

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, 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.
Execute against that roadmap with clear lines to business impact.
Work directly with Data Science and Business Development as strategic partners.
Translate scientific findings into a scaled roadmap by understanding the science to identify generalization and alpha opportunities.
Guide the technical approach on methods being scaled, including statistical validity at exhaustive scale, pipeline design, and dataset evaluation.
Push back on approaches that are not sound.
Work with scientific and technical teams to identify new opportunities for AI to impact Formation’s asset acquisition and diligence process.
Pitch AI opportunities to stakeholders with a clear explanation of resourcing and business impact.

Requirements

7+ years of experience in data science, applied science, or a technical product role with progressively broader scope.
At least one role where you were accountable for turning analytical work into a deployed capability.
Life sciences experience: worked in biotech, pharma, or a related industry.
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: decide what's worth scaling based on business and scientific impact, not novelty or ease of building.
Comfortable saying a finding shouldn't scale as well as greenlighting one that should.
AI/ML fluency: 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: engage deeply with data scientists and engineers on method, architecture, and trade-offs.
Know when a statistical approach breaks down outside the single case it was built for.
Cross-functional influence: directed or coordinated technical teams, including engineers and data scientists.
Earn trust through technical credibility.
Business fluency: discuss diligence findings, asset valuation, and scientific risk with senior leaders.
Comfortable with ambiguity and autonomy.
Mission-driven: care about getting medicines to patients faster.

Skills

Data Science
Applied Science
Technical Product Management
Life Sciences
Drug Development Lifecycle
Strategic Thinking
AI/ML
Technical Fluency
Cross-functional Influence
Business Fluency
Ambiguity Tolerance
Autonomy

Experience Level

7+ years of experience

Salary/Compensations

$245,000 - $307,000

About the Company

Formation's mission is to get medicines to patients faster.