Clinical Medicine Domain Expert

This role is for one of our clients

Compensation: $70 - $110 per hour

We are seeking an experienced Clinical Medicine Domain Expert to contribute to a cutting-edge GenAI initiative focused on improving how advanced AI models understand, reason about, and respond to real-world clinical scenarios.

Your clinical expertise will be central to this role. You will evaluate medical knowledge tasks and AI-generated outputs, develop detailed instructions and reference solutions, and create rigorous benchmarks that establish what high-quality clinical reasoning looks like. We are looking for an experienced practicing clinician with deep expertise in a defined medical specialty.

This is a full-time position requiring 40 hours per week for an initial six-month engagement
. The role involves working closely with research and program teams and using standard enterprise tools and workflows.

Location: Hybrid role based in the Bay Area, California
. Candidates must be based in the Bay Area and able to work on-site with the team multiple days per week when required. This is not a fully remote position. Candidates currently outside the Bay Area must be willing to relocate at their own expense before the engagement begins. Relocation assistance is not provided.

• Review and assess clinical knowledge tasks and AI-generated medical outputs for accuracy, safety, completeness, and clinical relevance.
• Identify missing reasoning steps, unsupported conclusions, unsafe recommendations, deviations from established guidelines, and clinically inappropriate responses.
• Evaluate whether AI-generated answers meet the standards expected in real-world clinical practice.

• Develop clear, detailed instruction specifications that define expected clinical reasoning and outcomes.
• Create high-quality reference solutions for complex clinical problems and scenarios.
• Develop new clinical tasks that accurately represent how healthcare professionals evaluate and solve real-world medical problems.

• Design challenging clinical scenarios and evaluation datasets that test medical reasoning, decision-making, and domain knowledge.
• Contribute to the development of medicine-specific benchmarks, tools, and evaluation methodologies.
• Help establish measurable standards for assessing the quality and reliability of AI-generated clinical responses.

• Collaborate with researchers and specialists from adjacent medical and technical disciplines to maintain consistent evaluation standards.
• Translate practical clinical judgment and experience into explicit, structured, and teachable evaluation criteria.
• Provide precise written feedback that helps improve the quality and reliability of AI systems.

• Education: MD or DO from an accredited medical school, along with completion of residency training in a recognized medical specialty.
• Clinical
  
  Experience:
  
  Minimum 4 years of post-residency clinical practice
  . Residency and fellowship training alone do not count toward this requirement.
• Licensure: Active and unrestricted medical license in at least one U.S. state.
• Board Certification: Board certification in the candidate's primary medical specialty.
• Clinical Specialization: Deep expertise in a defined clinical specialty, such as:
  • Internal Medicine
  • Oncology
  • Radiology
  • Emergency Medicine
  • Surgery
  • Psychiatry
  • Medical subspecialties
• Experience in utilization management, clinical informatics, medical affairs, or related areas is a plus.
• Professional Seniority: Demonstrated progression into a senior clinical role such as Attending Physician, Medical Director, Division Chief, Associate Professor, Full Professor, or Chief…