About the Position
As a Principal 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
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: $204,500 - $267,000
Designs and implements generative AI solutions for customer environments, taking LLM, RAG, and agent-based systems from prototypes to scalable production integrations across cloud platforms and business processes.
Design and develop innovative computational algorithms and AI/ML methods for translating metagenomic sequencing data into actionable results in clinical and public health contexts.
Build and operate a secure, reliable AI agents platform, owning its runtime, GenAI gateway, rollout controls, observability, and evaluation infrastructure for healthcare products.
Deliver production AI solutions for enterprise customers, owning the full lifecycle from discovery and agent design through integration, deployment, and adoption while translating technical complexity into business outcomes.
Build and scale production-grade AI agents that automate workflows across internal teams, integrating with company systems while establishing reliable evaluation, security, and adoption practices.
