Subject Matter Expert (SME) - Generative AI Neurology/Neuroscience

Cactus Communications; Albany (GA); À distance; USD 207 000 - 344 000; Temps partiel

Avantages offerts par ce poste

Flexible, asynchronous engagement

Project-based (no fixed hours)

Résumé du poste

Cactus Communications seeks accomplished physician-researchers to serve as Subject Matter Experts in Generative AI for medical research. These freelance SMEs will guide GenAI-enabled products across study design, evidence synthesis, and publication workflows. Active U.S.

medical licensure and a strong publication record are highly desirable. Ideal candidates will have hands-on experience with RCTs, systematic reviews, or meta-analyses, and be able to collaborate with clinicians, data scientists,

Qualifications

• MD with Internal Medicine specialization and active U.S. clinical license.
• Experience leading or supervising randomized controlled trials, systematic reviews, or meta-analyses.
• Prolific publication record in high-impact journals as first or senior author.
• Familiarity with medical databases and modern data extraction tools.
• Strong communication and collaboration with cross-functional teams.

Responsabilités

• Provide expert guidance in study design for systematic reviews, RCTs, and qualitative studies.
• Evaluate GenAI outputs for scientific rigor and adherence to CONSORT, PRISMA, and GRADE.
• Collaborate with product and engineering teams to convert clinical workflows into AI-enabled research tools.
• Translate complex clinical needs into actionable design specs and evaluation metrics for GenAI agents.
• Serve as clinical thought partner and support customer engagements as needed.

Connaissances

Clinical research experience

Effective communication

Analytical thinking

Team collaboration

Formation

MD with Internal Medicine

PhD/MPH/MS in Clinical Research/Biomedical Informatics/Epidemiology

Board certification in Internal Medicine

Active U.S. clinical license

Peer-reviewed publications (first/senior author)

Experience with RCTs, systematic reviews, or meta-analyses

Outils

PubMed

Embase

ClinicalTrials.gov

Cochrane Library

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)