Member of Technical Staff, Medical Research

Role Overview

Advance trustworthy AI for healthcare, clinical, and biomedical work by designing rigorous evaluation frameworks for medical reasoning, evidence synthesis, and healthcare decision support. This full-time, remote research role combines applied medical and health research with the development of benchmarks, quality standards, and evaluation methods for AI systems.

Key Responsibilities

• Design and lead evaluation frameworks for healthcare and medical AI, including benchmarks, scoring methods, clinical-quality rubrics, and validation protocols.
• Research medical reasoning, evidence-based decision-making, clinical workflows, and healthcare information synthesis.
• Create benchmark datasets and evaluation environments grounded in real-world healthcare and biomedical scenarios.
• Partner with researchers, clinicians, and engineers to assess and improve healthcare-focused AI systems.
• Analyze AI performance, safety considerations, reasoning quality, and failure patterns in medical use cases.
• Produce research reports, evaluation methodologies, and best-practice guidance.
• Stay current on medicine, healthcare delivery, biomedical research, and AI developments.
• Contribute to industry standards for healthcare AI evaluation and reliability.

Qualifications

• Advanced degree in Medicine, Public Health, Nursing, Pharmacy, Biomedical Sciences, Epidemiology, Health Economics, or a related healthcare discipline, such as an 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 in multidisciplinary settings 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 Terms

• Full-time remote position.

Compensation

• Listed compensation range: $400, 000 to $800, 000 per year.
• National base-salary range stated for the full-time role: $200, 000 to $250, 000.
• All employees are eligible for equity compensation and may receive performance-based bonuses, depending on role and applicable policies.
• Benefits include up to 100% reimbursement of health-insurance premiums, paid time off, and a 401(k).

Eligibility

• Equity compensation is available to all employees.