Domain Researcher, Medical

Frontier AI Lab; United States; Remote; USD 200,000 - 250,000; Full time

Benefits offered by this job

Equity compensation

Performance-based bonuses

Remote-first workforce

Health insurance premium reimbursement

Job summary

micro1 is seeking a Domain Researcher, Medical & Health Research, to advance AI systems for healthcare, focusing on rigorous evaluation frameworks that measure medical reasoning and evidence synthesis. You will conduct applied research, establish quality standards, and help shape trustworthy AI in healthcare.

Join a remote-first team, collaborate with clinicians and engineers, and 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 related field.
• Demonstrated experience researching medical, clinical, or healthcare topics.
• Strong understanding of research design and healthcare decision-making processes.

Responsibilities

• Design and own evaluation frameworks for AI in healthcare, including benchmarks and validation protocols.
• Conduct research on medical reasoning, evidence-based decision making, and clinical workflows.
• Develop benchmark datasets and evaluation environments from real-world healthcare scenarios.
• Collaborate with clinicians, researchers, and engineers to evaluate healthcare-focused AI systems.
• Analyze performance, safety, and reasoning quality in medical use cases.
• Produce research reports, methodologies, and best-practice guidelines.
• Stay current with medical and AI advancements and industry standards.

Skills

Analytical reasoning

Multidisciplinary collaboration

Healthcare analytics

Evidence-based medicine

Education

MD/DO/PhD/MPH/PharmD (advanced healthcare degree)

Job description

Job Title: Domain Researcher, Legal

Job Type: Full-time

Location: Remote

The Role

Join our research team as a Domain Researcher (DR), 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 $200,000 –$250,000. 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.

Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

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 [e-mail].

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.