Member of Technical Staff, Medical Research

$200,000–$250,000/year base salary
Full-time | Remote | 1 opening

About the Role

We’re seeking a Member of Technical Staff, Medical Research to help advance AI systems designed to support healthcare, clinical, and biomedical workflows.

This research-focused role centers on building rigorous ways to evaluate AI systems across medical reasoning, evidence synthesis, healthcare decision support, and agentic medical workflows. You’ll conduct applied research, establish evaluation standards, develop benchmarks, and work across research, clinical, and technical disciplines to assess the reliability and quality of healthcare-focused AI.

What You’ll Do

• Design and own evaluation frameworks for healthcare and medical AI systems, including benchmarks, scoring methodologies, clinical quality rubrics, and validation protocols.

• Conduct research into 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 model performance, safety considerations, reasoning quality, and failure patterns across medical use cases.

• Produce research reports, evaluation methodologies, and best-practice guidelines.

• Stay current with developments in medicine, healthcare delivery, biomedical research, and AI.

• Contribute to emerging standards for healthcare AI evaluation, reliability, and quality.

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 across multidisciplinary environments involving research, healthcare, technology, or policy stakeholders.

Preferred Qualifications

• Experience with digital health, clinical decision support systems, healthcare analytics, or health technology assessment.

• Familiarity with healthcare quality measurement, clinical guidelines, evidence synthesis, or healthcare benchmarking.

• Published research in medical, clinical, healthcare, or biomedical fields.

• Experience participating in clinical studies, systematic reviews, or healthcare evaluation initiatives.

Work & Compensation

• Full-time position

• Fully remote

• 1 opening

• Base salary: $200,000–$250,000 per year

• The original posting also references equity compensation and potential performance-based bonuses, subject to applicable policies.

• Benefits described in the original posting include health-insurance premium reimbursement, paid time off, a 401(k) plan with company match, and additional benefits.

Why This Opportunity

This role combines medical research, healthcare AI evaluation, benchmarking, evidence synthesis, and scientific reasoning. You’ll work on the methods and standards used to assess whether AI systems can perform reliably across complex healthcare and biomedical workflows.