Medical Researcher | Remote

Crossing Hurdles; United States; Remote; USD 400,000 - 800,000; Full time

Job summary

Crossing Hurdles is seeking a Member of Technical Staff, Medical Research for remote, high-impact work in healthcare AI. The role offers substantial compensation and a flexible commitment of 10-40 hours per week.

Responsibilities include designing evaluation frameworks for AI in medicine, advancing medical reasoning research, developing benchmarks, and collaborating with clinicians and engineers to improve healthcare AI systems. Strong communication of results is essential.

Qualifications

• Advanced degree required in a medical/public health/biomedical field.
• Experience conducting medical or healthcare research is essential.
• Strong ability to design research and evaluate evidence.

Responsibilities

• Design and own evaluation frameworks for AI systems in healthcare and medical domains.
• 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 researchers, clinicians, and engineers to improve healthcare-focused AI systems.
• Analyze performance, safety considerations, and reasoning quality in medical use cases.
• Produce research reports, evaluation methodologies, and best-practice guidelines.

Skills

Medical research

Clinical practice

Healthcare operations

Biomedical research

Analytical reasoning

Scientific communication

Education

Advanced degree in Medicine, Public Health, Nursing, Pharmacy, Biomedical Sciences, or related field

Job description

Position: Member of Technical Staff, Medical Research

Type: Full-time

Compensation: $400K - $800K/yr

Location: Remote

Commitment: 10-40 hrs/week

Role Responsibilities

• Design and own evaluation frameworks for AI systems in healthcare and medical domains.
• Conduct research on medical reasoning, evidence-based decision making, and clinical workflows.
• Develop benchmark datasets and evaluation environments based on real-world healthcare scenarios.
• Collaborate with researchers, clinicians, and engineers to improve healthcare-focused AI systems.
• Analyze performance, safety considerations, and reasoning quality in medical use cases.
• Produce research reports, evaluation methodologies, and best-practice guidelines.

Requirements

• Advanced degree in Medicine, Public Health, Nursing, Pharmacy, Biomedical Sciences, or related field.
• Deep expertise in clinical practice, healthcare operations, or biomedical research.
• 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.