Member of Technical Staff, Medical Research

Member of Technical Staff, Medical Research
 

1 opening
Required Skills
Medical/health research
Enterprise ai
Benchmarking
Agentic medical workflows
Job Description
Job Title: Member of Technical Staff, Medical Research

Job Type: Full-time

Location: Remote

The Role

Join our research team as a Member of Technical Staff (MTS), Medical & Health Research, where you'll help advance AI systems capable of supporting healthcare, clinical, and biomedical workflows. This role focuses on developing rigorous evaluation frameworks that measure medical reasoning, evidence synthesis, and healthcare decision support capabilities.

You will conduct applied research, establish quality standards, and help shape the future of trustworthy AI in healthcare.

What You'll Be Doing

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.

What We're Looking For

Advanced degree in Medicine, Public Health, Nursing, Pharmacy, Biomedical Sciences, Epidemiology, Health Economics, or a related healthcare field (MD, DO, PhD, MPH, PharmD, etc.).
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.

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.

Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $180,000 –$230,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.

Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.