Data Scientist (Open Level)
Formation Bio
About the role
About the Position
As a Data Scientist at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization. You'll work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into actionable insights. This position offers a unique opportunity to shape the future of pharmaceutical development by leveraging cutting-edge AI technologies while making a meaningful impact on patient lives.
Responsibilities
Lead and execute complex data science projects that directly advance our drug development portfolio
Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints
Aid in the development and training of AI agents to automate and optimize biomedical workflows
Collaborate cross-functionally with clinical, technical, and research teams
Present complex analytical findings to senior stakeholders, including executive leadership
About You
Required Qualifications
PhD in computational sciences or life sciences
3-5+ years of post-academic experience in life sciences (biotech, pharma, consulting)
Strong programming skills, particularly in Python
Extensive experience in multi-modal bioinformatics analysis
Preferred Qualifications
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
Total Compensation Range: $161,500 - $267,000
Responsibilities
- Lead complex data science projects that advance the drug development portfolio
- Develop models for therapeutic hypothesis evaluation, patient stratification, and biomarker identification
- Design AI models to modernize clinical trial evaluations, including surrogate endpoints
- Help develop and train AI agents to automate biomedical workflows
- Collaborate with clinical, technical, and research teams
- Present analytical findings to senior stakeholders and executive leadership
Qualifications
- 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 multimodal bioinformatics analysis
- Experience with cloud computing and tabular or graph databases is preferred
- Strong machine learning and deep learning background, particularly in biological applications, is preferred
- Experience with large language models is preferred
- Experience collaborating with engineering teams on production systems is preferred
Skills mentioned
H-1B sponsorship history
Historical employer filing data was found for Formation Bio. The employer record includes 5 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.