At a Glance
- Tasks: Guide the development of GenAI products for medical research and evidence synthesis.
- Company: Join a forward-thinking team at the intersection of medicine and technology.
- Benefits: Enjoy flexible, project-based work with no fixed hours.
- Other info: Collaborate with diverse teams and contribute to cutting-edge medical advancements.
- Why this job: Make a real impact in advancing medical research through innovative AI solutions.
- Qualifications: MD with clinical research experience and strong publication record required.
The predicted salary is between 135000 - 165000 $ per year.
Freelance Subject Matter Experts (Gen 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.
The SME will be instrumental in supporting the development and validation of Generative AI (Gen AI) products designed to advance medical research and evidence synthesis.
They will collaborate closely with cross-functional teams to design Gen AI-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, Gen AI 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 Gen AI 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, Gen AI data scientists, UX designers, and software developers to define clinically relevant test cases for Gen AI 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 Gen AI agent accuracy, bias, and reliability in research and publication settings.
- Provide clinical review and feedback throughout Gen AI 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 Ph D, MPH, or MS in Clinical Research, Biomedical Informatics, or Epidemiology.
- Demonstrated record of peer-reviewed publications as 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.
- 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 Gen AI-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)
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Subject Matter Expert (SME) - Generative AI in Vancouver employer: Cactus Communications
As a freelance Subject Matter Expert in Generative AI for medical research, you will join a dynamic and innovative team dedicated to advancing the field of clinical research. Our flexible, project-based work culture allows you to engage asynchronously, providing you with the freedom to balance your professional and personal commitments while contributing to meaningful advancements in medical evidence generation. With opportunities for collaboration across diverse teams and a focus on continuous learning, this role offers a unique chance to leverage your expertise in a rapidly evolving field.