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About the Role
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
Requirements
- 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
- 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
Skills
- Python
- Multi-modal bioinformatics analysis
- Cloud computing
- Tabular databases
- Graph databases
- Machine learning
- Deep learning
- Large language models (LLM)
- Communication skills
Experience Level
- 3-5+ years of post-academic experience
Education Level
- PhD in computational sciences or life sciences
Salary/Compensations
- $161,500 - $267,000