Remote Healthcare AI Evaluation Scientist

SaidGig; New York (NY); Remote; USD 200,000 - 250,000; Full time

Benefits offered by this job

Equity compensation

Health insurance reimbursement

401(k)

Job summary

SaidGig is seeking a research-focused professional to advance trustworthy AI for healthcare by designing evaluation frameworks for medical reasoning, evidence synthesis, and decision support. This full-time remote role blends clinical insight with AI benchmarking and standards development.

The candidate will lead frameworks, study medical decision-making, create benchmark datasets, and collaborate with clinicians, engineers, and researchers to improve healthcare AI reliability and performance.

Qualifications

• Advanced degree in Medicine, Public Health, Nursing, Pharmacy, Biomedical Sciences, Epidemiology, Health Economics, or related healthcare discipline.
• Strong research design, evidence evaluation and healthcare decision-making knowledge.
• Experience in multidisciplinary research, healthcare, tech, or policy settings.

Responsibilities

• Design and lead evaluation frameworks for healthcare and medical AI, including benchmarks and validation protocols.
• Research medical reasoning, evidence-based decision-making and clinical workflows.
• Create benchmark datasets and evaluation environments grounded in real-world healthcare scenarios.
• Collaborate with researchers, clinicians and engineers to improve AI systems.
• Analyze AI performance, safety, 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.

Skills

Analytical reasoning

Scientific communication

Education

MD/DO/PhD/MPH/PharmD

Advanced healthcare degree

Tools

Clinical decision-support systems

Job description

SaidGig is seeking a research-focused professional to advance trustworthy AI for healthcare by designing evaluation frameworks for medical reasoning, evidence synthesis, and decision support. This full-time remote role blends clinical insight with AI benchmarking and standards development.

The candidate will lead frameworks, study medical decision-making, create benchmark datasets, and collaborate with clinicians, engineers, and researchers to improve healthcare AI reliability and performance.