The RoleAs 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.
Note: This is a full-time role, required to be in-person in SF.
What You'll Do- Develop novel evals, RL environments, and benchmarks to reflect real-world healthcare workflows
- Provide domain expertise and medical knowledge to help shape our research directions and deliverables
- Write and publish papers in academic conferences
Who You Are- Must have one of the following medical degrees: MD, DO, MBBS, NP, RN, or PA
- 1+ years of experience working in a real clinical environment (clinical rotations are OK)
- Proficient in Python and JavaScript
- Intermediate software engineering skills (i.e. not just Claude Code) - strong experience with Github, CI/CD, AWS
- Familiar with best practices around RLEs, benchmarks, evals, and post-training
- 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
Why UsIf you join our team, you will be joining a team with...
- Founding-level impact and ownership
- An opportunity to advance AI research in one of its most meaningful application areas
- Competitive compensation and meaningful equity
- Unlimited PTO
- Comprehensive health, dental, and vision coverage
- 401(k)
- Free lunch + dinner
