Pear-VC

Clinical Physician (Full-time or Part time)

San Francisco Bay Area. Posted 2 months ago

The role

You will define clinical criteria, shape pre-visit summaries, and judge AI-generated outputs to build ground truth. This role involves influencing the development of a clinical AI assistant used in real practices.

What you will do

  • Define what the assistant should surface.
  • Translate clinical shorthand into precise, checkable criteria.
  • Shape the pre-visit summary.
  • Specify clinical search.
  • Judge the AI by reviewing model-generated risk flags, differentials, and treatment plans.
  • Build ground truth by constructing real-case evaluation sets and rubrics.
  • Pressure-test the product during design decisions.
  • Contribute to publications.

Required qualifications

  • MD or DO, board-certified or board-eligible
  • Currently practicing or recently practicing
  • Internal medicine, cardiology, oncology, or an adjacent specialty
  • Day-to-day fluency in an EMR (Epic, eClinicalWorks, Athena, ModMed, or similar)
  • Opinionated about clinical workflow
  • Comfortable with ambiguity, direct feedback, and being asked how you know things
  • Genuinely interested in AI in medicine, including its failure modes

Nice to have

  • Primary care and multi-specialty experience
  • Clinical informatics training or CMIO-adjacent experience
  • Experience with quality measures and value-based care programs (HEDIS, MIPS, CPT Category II, HCC coding)
  • Prior work advising or building health tech products
  • Research or publication background
  • Experience training residents or fellows

Benefits

  • Direct, daily work with the founders
  • Real influence over a product
  • Competitive hourly rate for part-time engagements
  • Competitive salary and meaningful equity for full-time
  • Co-authorship on benchmarks and technical reports

Before you apply

  • Visa sponsorship available for full-time roles

About the company

Optexity is a product-driven research lab building clinical reasoning and computer use models. They deploy directly inside clinics and hospitals to gather proprietary clinical reasoning trajectories.