Lead Data Scientist — AI-Driven Drug Development

Formation Bio; Town of Boston (NY); Hybrid; USD 162,000 - 267,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Generous perks

Job summary

Formation Bio is seeking a Data Scientist to lead advanced analytics across the drug development portfolio. You will develop models for patient stratification, biomarker identification, and AI-powered clinical trial optimization, shaping how AI informs decisions in pharma.

You will collaborate with clinical, technical, and research teams to translate complex biology data into actionable insights, contributing to faster, more efficient drug development and better patient outcomes.

Qualifications

• PhD required in computational sciences or life sciences.
• 3–5+ years post‑academic experience in life sciences (biotech, pharma, consulting).
• Strong Python programming and multi‑modal bioinformatics experience.

Responsibilities

• Lead data science projects advancing drug development portfolio.
• Develop models for therapeutic hypothesis evaluation including patient stratification and biomarkers.
• Create AI models to modernize clinical trial evaluations, including surrogate endpoints.
• Train AI agents to automate biomedical workflows.
• Collaborate cross‑functionally with clinical, technical, and research teams.
• Present complex results to senior leadership.

Skills

Python

Machine learning

Deep learning

Bioinformatics

Data analysis

Cloud computing

Collaboration

Education

PhD in computational sciences or life sciences

Tools

Cloud computing environments

Tabular databases

Graph databases

Large language models (LLM)

Job description

Formation Bio is seeking a Data Scientist to lead advanced analytics across the drug development portfolio. You will develop models for patient stratification, biomarker identification, and AI-powered clinical trial optimization, shaping how AI informs decisions in pharma.

You will collaborate with clinical, technical, and research teams to translate complex biology data into actionable insights, contributing to faster, more efficient drug development and better patient outcomes.