Member of Technical Staff, Medical Research
Join the research team as a Member of Technical Staff focused on medical and health research. Develop rigorous evaluation frameworks and benchmarks for AI systems supporting healthcare, clinical, and biomedical workflows; conduct applied research on medical reasoning and evidence synthesis; build benchmark datasets and evaluation environments; and collaborate with clinicians, researchers, and engineers to improve healthcare-focused AI systems.
Salary
USD200,000 - USD250,000 / year
Department
Medical Research & Healthcare AI
Experience
Deep expertise in clinical practice, healthcare operations, biomedical research, public health, healthcare analytics, or evidence-based medicine, with demonstrated experience conducting medical, clinical, or healthcare research
Curated by Farooq77 Jobs
Role fit snapshot
- Engagement
- Full-time remote | micro1 application platform
- Experience
- Recorded experience: Deep expertise in clinical practice, healthcare operations, biomedical research, public health, healthcare analytics, or evidence-based medicine, with demonstrated experience conducting medical, clinical, or healthcare research
- Core expertise
- Medical Research & Healthcare AI | Medical Research | Healthcare Research | Medical Reasoning
- Expected work/output
- Research reports
- Geographic eligibility
- Not specified beyond Remote
- Listing dates
- Posted 2026-09-23 | Valid through 2026-10-23
- Compensation
- Recorded compensation: $200,000-$250,000/year
Responsibilities
- Design and own evaluation frameworks for AI systems operating in healthcare and medical domains, including benchmarks, scoring methodologies, clinical quality rubrics, and validation protocols.
- Conduct research on medical reasoning, evidence-based decision making, clinical workflows, and healthcare information synthesis.
- Develop benchmark datasets and evaluation environments based on real-world healthcare and biomedical scenarios.
- Collaborate with researchers, clinicians, and engineers to evaluate and improve healthcare-focused AI systems.
- Analyze performance, safety considerations, reasoning quality, and failure patterns in medical use cases.
- Produce research reports, evaluation methodologies, and best-practice guidelines.
- Stay current with advancements in medicine, healthcare delivery, biomedical research, and AI.
- Contribute to the development of industry standards for healthcare AI evaluation and reliability.
Skills
Requirements
- Advanced degree in Medicine, Public Health, Nursing, Pharmacy, Biomedical Sciences, Epidemiology, Health Economics, or a related healthcare field, such as MD, DO, PhD, MPH, or PharmD.
- Deep expertise in clinical practice, healthcare operations, biomedical research, public health, healthcare analytics, or evidence-based medicine.
- Demonstrated experience conducting medical, clinical, or healthcare research.
- Strong understanding of research design, evidence evaluation, and healthcare decision-making processes.
- Exceptional analytical reasoning and scientific communication skills.
- Experience working in multidisciplinary environments involving research, healthcare, technology, or policy stakeholders.
- Experience with digital health, clinical decision support systems, healthcare analytics, or health technology assessment is preferred.
- Familiarity with healthcare quality measurement, clinical guidelines, evidence synthesis, or healthcare benchmarking is preferred.
- Published research in medical, clinical, healthcare, or biomedical fields is preferred.
- Experience participating in clinical studies, systematic reviews, or healthcare evaluation initiatives is preferred.
Benefits
- Remote full-time position.
- Base salary of $200,000–$250,000 per year.
- Equity compensation eligibility.
- Potential performance-based bonuses subject to role and company policies.
- Up to 100% reimbursement for health-insurance premiums.
- Paid time off.
- 401(k) plan with company match.
- Additional benefits supporting a remote-first workforce.
Before you apply
- Confirm that your location is eligible for the role.
- Confirm the employment or contract type.
- Verify the current compensation at the official source.
- Review the required skills and experience.
- Check that the listing is still open before applying.
- Never pay a fee to submit a job application.