Clinical AI Research Scientist

Kinetic Systems and Technologies, Inc

$120K — $160K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Medical degree (PA, RN, NP, MD, DO, etc.)
  • Willing to work in-person, full-time in San Francisco
  • Intermediate software engineering skills in Python and Javascript
  • Foundational knowledge in medicine and clinical training
  • Understanding of healthcare data standards, interoperability, and HIPAA considerations

Responsibilities

  • Drive research agenda for advancing AI model capabilities in healthcare
  • Build novel datasets and benchmarks to identify capability gaps
  • Publish academic papers on research findings
  • Post-train models to improve state-of-the-art performance
  • Collaborate with healthcare partners to align research with practical needs

Benefits

  • Founding-level impact and ownership
  • Work at the cutting edge of AI and healthcare research
  • Competitive compensation with meaningful equity
  • Opportunity to advance AI research in a significant application area
  • Unlimited paid time off (PTO)
  • Comprehensive health, dental, and vision coverage
  • 401(k) plan
  • Free lunch and dinner
Full Job Description
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 engineeringskills 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

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