Clinical AI Research Scientist

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 engineering skills 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