Kinetic Systems is an applied research lab building data infrastructure for the autonomous hospital. We spun out of the Stanford PhD program in 2025 and are backed by General Catalyst. Our mission is to advance the capabilities of frontier models for solving clinically and economically meaningful healthcare tasks.
The Role
As a Member of Clinical Staff, 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
2+ years of experience working in a real clinical environment (clinical rotations are OK)
Familiar with best practices around RLEs, benchmarks, evals, and post-training
Understanding of healthcare data standards (e.g., EHR data structures, interoperability, HIPAA considerations)
Proficient in Python and JavaScript
Intermediate software engineering skills (i.e. not just Claude Code) and experience with Github, CI/CD, AWS
Strong interest in AI and machine learning applications
Experience with clinical workflow analysis, quality improvement initiatives, or digital health product development
Why Us
If 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