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Salary: USD 161,500 - 267,000 / annual
Formation Bio is a tech and AI-driven pharmaceutical company founded in 2016 (originally TrialSpark Inc.) that accelerates drug development through advanced AI and analytics. The company partners with pharma companies, research organizations, and biotechs to develop drug candidates past clinical proof of concept, addressing the industry bottleneck where AI-generated candidate drugs exceed the capacity of traditional clinical trial infrastructure. Formation Bio is backed by leading investors including a16z, Sequoia, Sanofi, Thrive Capital, and others.
As a Data Scientist, you will lead critical initiatives at the intersection of computational biology, machine learning, and drug development. You'll develop sophisticated models for patient stratification and biomarker identification, design AI models for clinical trial optimization including surrogate endpoints, and contribute to AI agent development for automating biomedical workflows. Your work will directly impact the company's drug development portfolio and ultimately help bring new medicines to patients faster.
Key responsibilities include:
- Leading and executing complex data science projects that advance drug development
- Developing therapeutic hypothesis evaluation models, including patient stratification and biomarker identification
- Designing AI models for modernizing clinical trial evaluations
- Contributing to AI agent development for biomedical workflow automation
- Collaborating cross-functionally with clinical, technical, and research teams
- Presenting complex analytical findings to senior stakeholders and executive leadership
The role is hybrid, requiring 3 days per week in office, with primary hiring focus on New York City and Boston metro areas. The company will also consider applicants from the Research Triangle (NC) and San Francisco Bay Area.
REQUIREMENTS:
Required:
- PhD in computational sciences or life sciences
- 3-5+ years of post-academic experience in life sciences (biotech, pharma, or consulting)
- Strong programming skills, particularly in Python
- Extensive experience in multi-modal bioinformatics analysis
Preferred:
- Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases
- Strong background in machine learning and deep learning, particularly in biological applications
- Experience with large language models (LLM)
- Demonstrated ability to collaborate effectively with engineering teams on production systems
- Strong communication skills with proven ability to present complex technical findings to senior stakeholders
