As a
Clinical AI Research Scientist, you'll help drive our research agenda towards advancing AI model capabilities on real-world healthcare tasks. You'll help build novel datasets, environments, and benchmarks to identify capability gaps in current models, publish academic papers, and post-train models to push the SOTA while staying grounded to the demonstrated needs of our healthcare partners.
Requirements- A medical degree (PA, RN, NP, MD, DO, etc.).
- Wiling to work in-person, full-time in San Francisco
- Intermediate software engineeringskills and programming proficiency (i.e. not just Claude Code) in Python and Javascript
Qualifications / Nice-to-Haves- Foundational knowledge in medicine and clinical training
- Experience working in a live clinical setting is a huge plus, but not mandatory.
- Understanding of healthcare data standards (e.g., EHR data structures, interoperability, HIPAA considerations)
- Strong interest in AI and machine learning applications
- Experience with clinical workflow analysis, quality improvement initiatives, or digital health product development
- Prior track record of publishing academic research
Why Join- Founding-level impact and ownership
- Work at the cutting edge of AI research + healthcare
- Competitive compensation and meaningful equity
- An opportunity to advance AI research in one of its most meaningful application areas
- Unlimited PTO
- Comprehensive health, dental, and vision coverage
- 401(k)
- Free lunch + dinner