Kinetic Systems is a Stanford PhD spinout whose mission is to advance the capabilities of frontier AI models for solving clinically and economically meaningful healthcare tasks. We were founded in 2025 and are backed by General Catalyst.
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