Freelance Subject Matter Expert – Internal Medicine

Cactus Communications

Philadelphia (Philadelphia County)

On-site

USD 150,000 - 190,000

Full time

10 days ago
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Benefits offered by this job

Project-based work

Job summary

Cactus Communications is seeking accomplished physician-researchers to serve as Subject Matter Experts in Generative AI for medical research. The SME will support GenAI products from design to validation, collaborating with cross‑functional teams to improve evidence generation, translation, and dissemination.

Ideal candidates are active physicians with experience in clinical research, RCTs, systematic reviews, or meta-analyses, and a strong publication record in high‑impact journals.

Qualifications

  • MD with Internal Medicine and active US license.
  • Board certification in Internal Medicine and advanced research training.
  • Publication record in high‑impact journals as first or senior author.
  • Experience conducting or supervising randomized controlled trials, systematic reviews, or meta‑analyses.
  • PI experience is desirable.

Responsibilities

  • Provide expert guidance in GenAI-enabled research design and workflows.
  • Evaluate GenAI outputs for scientific accuracy and adherence to standards (e.g., CONSORT, PRISMA, GRADE).
  • Collaborate to integrate clinical data sources into AI tools for evidence synthesis.
  • Define evaluation metrics for GenAI agent performance in research settings.
  • Offer clinical review during model selection, tuning, and testing.

Skills

GenAI in medical research
Analytical and critical appraisal
Scientific communication
Cross-functional collaboration

Education

MD with Internal Medicine specialization
Board certification
US clinical license
PhD/MPH/MS in Clinical Research or Epidemiology
Peer‑reviewed publications as first/senior author
Experience with RCTs / systematic reviews / meta-analyses
PI experience desirable
Familiarity with PubMed / Embase / ClinicalTrials.gov / Cochrane Library

Tools

PubMed
Embase
ClinicalTrials.gov
Cochrane Library

Job description

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
  • Project-based (no fixed hours)
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