Clinical AI Research Scientist

Kinetic Systems; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Unlimited PTO

Health, dental, and vision coverage

401(k)

Free lunch + dinner

Job summary

Kinetic Systems seeks a Clinical AI Research Scientist in San Francisco to advance AI model capabilities for healthcare tasks. You will help build datasets, environments, and benchmarks to identify gaps in current models and publish academic work.

You will post-train models to push the state-of-the-art while staying grounded to partner needs in healthcare. In-person, full-time role with founding-level impact on cutting-edge AI research in healthcare.

Qualifications

• Medical degree required.
• Willing to work in-person, full-time in San Francisco.
• Intermediate software engineering skills in Python and JavaScript.

Responsibilities

• Build novel datasets, environments, and benchmarks to identify capability gaps.
• Publish academic papers and report findings.
• Post-train models to advance state-of-the-art while aligning with healthcare partner needs.

Skills

Python

JavaScript

Software engineering

Education

Medical degree (PA, RN, NP, MD, DO)

Job description

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

• Amedical 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