Subject Matter Expert (SME) - Generative AI - Internal Medicine

Cactus Communications; Virginia Beach (VA); Sur place; USD 276 000 - 441 000; Temps partiel

Avantages offerts par ce poste

Flexible, asynchronous engagement

Project-based engagements

Résumé du poste

Cactus Communications seeks an accomplished physician-researcher to serve as a Freelance Subject Matter Expert in GenAI for medical research. You will guide study design, evaluate GenAI outputs, and help translate clinical workflows into AI‑assisted research tools.

The role demands an MD with Internal Medicine, active US licensure, and a robust publication record. You will collaborate across product, data science, and clinical teams on an asynchronous, project-based basis in the United States.

Qualifications

• MD with Internal Medicine specialization and active U.S. clinical license.
• Advanced training such as PhD/MPH/MS in Clinical Research, Biomedical Informatics, or Epidemiology.
• Peer‑reviewed publications as first or senior author in high‑impact journals.
• Experience conducting or supervising randomized controlled trials (RCTs), systematic reviews, or meta‑analyses.
• PI experience desirable.
• Familiarity with medical databases and data extraction tools.

Responsabilités

• Provide expert guidance in product and workflow design for a wide spectrum of clinical research.
• Evaluate and validate GenAI outputs for scientific accuracy and methodological rigor.
• Integrate clinical data sources into AI‑enabled research tools, emphasizing journal content.
• Collaborate with product, data science, UX, and software teams to define test cases for GenAI agents.
• Define evaluation metrics for GenAI agent accuracy, bias, and reliability in research and publication settings.
• Provide clinical review throughout GenAI model selection, tuning, testing, and refinement processes.

Connaissances

Analytical skills

Critical appraisal

Communication skills

Collaboration

Publication record

Formation

MD with Internal Medicine

Board certification in Internal Medicine

Active U.S. clinical license

Advanced training: PhD/MPH/MS in Clinical Research/ Biomedical Informatics/ Epidemiology

Peer‑reviewed publications as first/senior author

PI experience desirable

Outils

PubMed

Embase

ClinicalTrials.gov

Cochrane Library

Data extraction tools

Description du poste

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)