Subject Matter Expert (SME) - Generative AI - Orthopedics

Job summary

Guide the design of GenAI products and research workflows, and evaluate AI outputs for scientific accuracy, methodological rigor, and compliance with standards such as CONSORT, PRISMA, and GRADE. Collaborate with product and technical teams to define test cases, translate clinical research needs into product specifications, and provide clinical feedback throughout model development and validation.

Job details

Freelance Subject Matter Experts (GenAI 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. The SME will be instrumental in supporting the development and validation of Generative AI (GenAI) products designed to advance medical research and evidence synthesis. They 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. They will serve as a scientific bridge, connecting medical researchers, GenAI engineers, data scientists, UX designers, software developers, and product managers. Ideal candidates will be active physicians with hands-on experience conducting, supervising, or participating in clinical research studies, randomized controlled trials (RCTs), systematic reviews, or meta-analyses. They should also have a strong publication record as first or senior authors in peer-reviewed, high-impact journals. A thorough understanding of research methodology and publication ethics is highly desirable. Job Responsibilities Medical and Research Expertise 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. Product and Technology Collaboration 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. Thought Partnership 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. Qualifications and prerequisites Education and Clinical Training An MD degree with specialization in Internal Medicine, board certification in this 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 PubMed, Embase, ClinicalTrials.gov, and the Cochrane Library, as well as with modern data extraction or curation tools. Preferred Technical and Domain Competencies 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. Benefits of the role: Flexible, asynchronous engagement Project-based (no fixed hours) If you are among the qualified candidates, one of our recruiters will email you with further details.

What you’ll do

Guide the design of GenAI products and research workflows, and evaluate AI outputs for scientific accuracy, methodological rigor, and compliance with standards such as CONSORT, PRISMA, and GRADE. Collaborate with product and technical teams to define test cases, translate clinical research needs into product specifications, and provide clinical feedback throughout model development and validation.

Requirements

Requires an MD specializing in Internal Medicine, board certification, an active U.S. clinical license, a strong first- or senior-author publication record, and hands-on experience with clinical research such as RCTs, systematic reviews, or meta-analyses. Advanced research training is preferred, along with familiarity with medical databases and working knowledge of GenAI, NLP, and machine learning.

Benefits

• Flexible Engagement
• Asynchronous Engagement
• Project-Based Work
• No Fixed Hours

Listed skills

• Machine learning · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Clinical Research
• Generative AI
• Evidence Synthesis
• Randomized Controlled Trials
• Systematic Reviews
• Meta-Analysis
• Research Methodology
• Publication Ethics
• Clinical Data Evaluation
• Scientific Accuracy
• Critical Appraisal
• Natural Language Processing
• Machine Learning
• Product Collaboration
• Clinical Workflow Design
• Medical Writing

Job areas

• Healthcare
• Science & Research
• Technology
• Data & Analytics

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