This clinician supports a remote, contract health analytics platform by reviewing and validating medical content, clinical protocols, and risk models for accuracy and guideline alignment. The work centers on preventive care, early risk detection, and risk assessment across individual and population health, with input that helps shape user-facing health reports and clinical recommendations. The role also involves collaboration with product, data science, and research teams, plus participation in virtual meetings to keep the platform clinically grounded.
Key Responsibilities
- Review and validate medical content, clinical protocols, and risk models against current evidence-based guidelines.
- Collaborate with product, data science, and research teams to refine risk scoring methods and interpret findings.
- Provide clinical input on user-facing health reports and new product features.
- Advise on ethical and regulatory considerations related to health data use.
- Participate in virtual meetings and offer expert feedback to support clinical relevance.
- Contribute to clinical documentation and medically informed content as needed.
Required
- Active medical degree (MD or equivalent).
- Valid license to practice medicine, or substantial prior clinical experience with eligibility to practice in relevant jurisdictions.
- Experience in clinical risk assessment, preventive medicine, internal medicine, family medicine, or a related specialty.
- Strong understanding of evidence-based clinical guidelines.
- Ability to work independently in a remote, contract role.
- Excellent written and verbal communication skills.
Preferred
- Experience with clinical research, guideline development, or medical writing.
- Familiarity with healthcare regulations, data privacy, and ethical issues in health information use.
- Comfort working with digital health tools, electronic health records, and technology-enabled care.
Benefits & Perks
- Remote work.
- Contract position.
- Opportunity to collaborate with product, data science, and research teams.
- Work on technology-enabled, data-driven health risk analytics tools.