Subject Matter Expert; SME – Generative AI in Medical Research

We are seeking accomplished physician researchers to serve as Subject Matter Experts (SME) in the field of Generative AI for medical research. SME will be instrumental in supporting the development and validation of Generative AI (GenAI) products designed to advance medical research and evidence synthesis. SME will collaborate closely with cross‑functional teams to design GenAI‑enabled products and workflow solutions that aim to improve the quality, speed, and reliability of medical evidence generation, translation, and dissemination.

Candidates who possess a strong clinical background, a substantial record of peer‑reviewed publications—particularly in randomized controlled trials (RCTs) and systematic reviews—and a thorough understanding of research methodology and publication ethics are highly desirable. SME will serve as a scientific bridge, connecting medical researchers, GenAI engineers, data scientists, UX designers, software developers, and product managers.

• Provide expert guidance in product and workflow design to support a wide spectrum of clinical research, including systematic reviews, narrative and scoping reviews, randomized controlled trials (RCTs), and qualitative studies.
• Evaluate and validate GenAI outputs to ensure scientific accuracy, methodological rigor, and compliance with established standards and frameworks such as CONSORT, PRISMA, and GRADE.
• Facilitate the integration of clinical and biomedical data sources into AI‑enabled tools and agents, with an emphasis on journal content.

• Work collaboratively with product managers, GenAI data scientists, UX designers, and software developers to define clinically relevant test cases for GenAI agents and translate clinical workflows into AI‑assisted research capabilities, including protocol formulation, literature screening, structured data extraction, quality appraisal, and evidence synthesis.
• Translate complex clinical and research requirements into actionable design specifications and define evaluation metrics for GenAI agent accuracy, bias, and reliability in research and publication settings.
• Provide clinical review and feedback throughout GenAI model selection, tuning, testing, and refinement processes.

• Serve as a clinical thought leader who informs agentic product development within the medical and research domains.
• Support teams in interpreting clinical data, research methodologies, and publication standards.
• Represent the organization in selected customer engagements.

• An MD degree with specialization in Orthopaedics, Neurology, Surgery, Anesthesiology, or Pediatrics
  , board certification in the relevant specialty, and an active U.S. clinical license in good standing are required.
• Additionally, an advanced academic or research training is highly desirable, such as a PhD, MPH, or MS in Clinical Research, Biomedical Informatics, or Epidemiology.
• Demonstrated record of peer‑reviewed publications as a first or senior author in high‑impact journals.
• Hands‑on experience in conducting or supervising randomized controlled trials (RCTs), systematic reviews, or meta‑analyses.
• Principal Investigator experience is desirable.
• Familiarity with medical databases such as Pub Med, Embase, Clinical Trials.gov, and the Cochrane Library, as well as with modern data extraction or curation tools.

• Working knowledge of Generative AI, natural language processing (NLP), and machine learning as applied to medical research.
• Strong analytical and critical appraisal skills, particularly in evaluating GenAI‑assisted outputs.
• Excellent communication skills and ability to collaborate effectively with clinicians, data scientists, engineers, and product managers.

• Project‑based (no fixed hours)

If you are among the qualified candidates, one of our recruiters will email you with further details.