Member of Technical Staff - Clinical AI Research Scientist
Kinetic Systems · San Francisco ·
- Work mode
- Onsite
- Employment
- Full time
- Category
- Software engineering
- Experience
- 1+ years
- Visa sponsorship
- Yes
- Company size
- 11-50
Kinetic Systems · San Francisco ·
radai · San Francisco - Onsite
counsel · New York Office (Flatiron)
counsel · New York Office (Flatiron)
Lightmatter · Mountain View, CA
Research scientist in San Francisco building AI models for healthcare tasks, creating datasets and benchmarks while publishing academic work.
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.
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.
Note: This is a full-time role, required to be in-person in SF.
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
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
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
Reddit · Toronto, Canada