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
Skills Required
- Medical degree (PA, RN, NP, MD, DO, etc.)
- Willing to work in-person, full-time in San Francisco
- Intermediate software engineering skills
- Programming proficiency in Python
- Programming proficiency in JavaScript
- Foundational knowledge in medicine and clinical training
- Experience working in a live clinical setting
- Understanding of healthcare data standards (EHR structures, interoperability, HIPAA)
- Strong interest in AI and machine learning applications
- Experience with clinical workflow analysis, quality improvement, or digital health product development
- Prior track record of publishing academic research
What We Do
Kinetic Systems is an applied AI research lab focused on improving frontier models to solve economically meaningful healthcare tasks. Founded in 2025 out of the Stanford PhD program and backed by Tier 1 VCs, its mission is to advance the capabilities of frontier AI models by building novel datasets, environments, and models. The company operates at the intersection of computer-use agents, human data, and healthcare.
