At a Glance
- Tasks: Guide Generative AI products in medical research and validate outputs for accuracy.
- Company: Innovative healthcare organization focused on AI-driven solutions.
- Benefits: Flexible freelance engagement with asynchronous work hours.
- Other info: Collaborate with a diverse team of data scientists and engineers.
- Why this job: Make a real impact in healthcare by merging AI with clinical expertise.
- Qualifications: MD in Internal Medicine, active clinical license, and experience in evidence synthesis.
The predicted salary is between 135000 - 165000 $ per year.
Apply clinical research expertise to Generative AI products as a physician-researcher with experience in evidence synthesis and validation. This freelance engagement is flexible and asynchronous. As a Subject Matter Expert, you will guide GenAI product and workflow design for medical research. The work connects clinical methodologies, publication standards, and AI-assisted capabilities. You will collaborate with data scientists, engineers, UX designers, and product managers to improve evidence generation and dissemination.
Key Responsibilities:
- Guide product workflows for clinical research and evidence synthesis
- Validate GenAI outputs for accuracy and methodological rigor
- Define test cases, metrics, and clinically relevant requirements
- Review GenAI model selection, tuning, testing, and refinement
- Represent the organization in selected customer engagements
Requirements:
- MD specializing in Internal Medicine and board certification
- Active U.S. clinical license in good standing
- Peer-reviewed publications as first or senior author
- Experience with RCTs, systematic reviews, or meta-analyses
- Working knowledge of Generative AI, NLP, and machine learning
- Use medical research, evidence synthesis, and Generative AI expertise to strengthen clinically relevant products and workflows.
Generative AI Medical Research Physician employer: Cactus Communications
Cactus Communications is an exceptional employer that values innovation and collaboration in the field of medical research. With a flexible, project-based work structure, employees enjoy a supportive culture that fosters professional growth and encourages contributions to cutting-edge AI-enabled research tools. Located in a dynamic environment, our team members benefit from unique opportunities to influence the future of healthcare through their expertise.
