Remote Medical AI Research Scientist

Crossing Hurdles; United States; À distance; USD 400 000 - 800 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Medical research

Clinical practice

Healthcare operations

Biomedical research

Analytical reasoning

Scientific communication

Formation

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

Description du poste

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.