Insitro
Vice President, Regulatory Affairs
$313K–$333K
South San Francisco, CA · Director · Full-time · Posted Oct 20, 2026
- Experience
- 10+ years; includes regulatory-lead and leadership experience.
- Education
- Advanced degree in life sciences, technology, chemistry, or a related discipline, with a specialized degree in regulatory science (e.g., M.S.) or equivalent practical experience.
About the job
Build and lead insitro’s global regulatory affairs function, guiding regulatory strategy, submissions, and health-authority engagement for therapeutics and diagnostics as programs advance toward clinical development.
What you'll do
- Develop global regulatory strategies and lead initial clinical-stage assets from IND/CTA through clinical proof-of-concept.
- Direct regulatory submissions and serve as primary interface with FDA and EMA, overseeing engagement with other health authorities and ethics committees.
- Build the regulatory function and team, and contribute to emerging AI/ML regulatory policy through publications, presentations, and stakeholder engagement.
What they ask for
- 10+ years in biotechnology and/or pharmaceutical regulatory affairs, including direct regulatory-lead and leadership experience.
- Experience taking therapeutics and diagnostic biomarkers from first-in-human through proof-of-concept to NDA/BLA submission in metabolic disease, neurology/neurodegeneration, or oncology.
- Advanced degree in life sciences, technology, chemistry, or a related discipline, with a specialized degree in regulatory science (e.g., M.S.) or equivalent practical experience.
- Demonstrated command of regulations and guidelines for drug, diagnostic, and device development, including good clinical practice, clinical trial design and execution, clinical pharmacology, biostatistics, and clinical operations.
Nice to have
- Exposure to regulatory approvals involving computationally enabled tools or biomarkers, ideally including AI methods.
Pay
$313,000 - $333,000 USD base salary
Tools
FDA, EMA, AI, machine learning, IND/CTA, NDA/BLA
AI focus
Shape AI/ML regulatory policy and develop data-driven regulatory approaches; interpret requirements for AI-related diagnostics and drug development.
Model-written summary · the original posting is authoritative