micro1
micro1Verified listing
RemoteAI & Machine LearningHealthcare & Biotech

Member of Technical Staff, Medical Research

7–8/hr
Remote
Posted July 21, 2026
contract
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Listing checked September 2, 2026 · pay as published by micro1

Overview

Join a team focused on pushing the boundaries of AI in healthcare by designing evaluation frameworks and benchmarks for medical reasoning systems. As a Member of Technical Staff, you'll help shape how AI supports clinical decisions, evidence synthesis, and biomedical research. This remote role blends applied research with rigorous quality standards to build trustworthy healthcare AI.

What You'll Do8

  • 1Create and manage evaluation systems for AI in medical contexts, including benchmarks, scoring methods, clinical quality rubrics, and validation protocols.
  • 2Investigate medical reasoning, evidence-based decision-making, and clinical workflows to improve AI's ability to synthesize healthcare information.
  • 3Build benchmark datasets and test environments that mirror real-world clinical and biomedical scenarios.
  • 4Work alongside researchers, clinicians, and engineers to assess and refine healthcare-focused AI models.
  • 5Analyze performance, safety, reasoning quality, and failure patterns in medical use cases, then document findings.
  • 6Produce research reports, evaluation methodologies, and best-practice guidelines for healthcare AI.
  • 7Keep up with advances in medicine, healthcare delivery, biomedical research, and AI to inform ongoing work.
  • 8Contribute to industry standards for evaluating AI reliability in healthcare settings.

Requirements4

  • 1An advanced degree (e.g., MD, DO, PhD, MPH, PharmD) in Medicine, Public Health, Nursing, Pharmacy, Biomedical Sciences, Epidemiology, Health Economics, or a related healthcare field.
  • 2Deep expertise in clinical practice, healthcare operations, biomedical research, public health, healthcare analytics, or evidence-based medicine.
  • 3Proven experience conducting medical, clinical, or healthcare research with strong understanding of research design and evidence evaluation.
  • 4Exceptional analytical reasoning and scientific communication skills, plus comfort working in multidisciplinary teams across research, healthcare, technology, or policy.

Who Should Apply

This role is ideal for a healthcare professional or researcher who wants to apply their domain expertise to AI evaluation and development. You're someone who understands the nuances of clinical decision-making and can translate that into rigorous test cases and benchmarks. You thrive in collaborative, remote environments and are excited about shaping the future of trustworthy AI in medicine.

Salary Insight

The national base salary range for this full-time position is $200,000–$250,000, plus equity compensation, performance-based bonuses, and a comprehensive benefits package including up to 100% reimbursement for health-insurance premiums, paid time off, and a 401(K) match.

Pay and demand for Healthcare & Medical roles

Aggregated

Typical pay

$70/hour

This role

$7–$8/hr

Most Healthcare & Medical roles pay $40–$95 per hour. This role's pay sits below that range.

Based on 1,105 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

Live similar roles
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Most requested skills · share of roles

  • ai evaluation
    13%
  • llm evaluation
    12%
  • ai training
    12%
  • data annotation
    10%

Figures from Healthcare & Medical roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.

Compare your resume against these roles

Location

TypeRemote
LocationRemote
This is a remote position

Compensation

$7–8/hr

Required Skills

Medical/Health ResearchEnterprise AIBenchmarkingAgentic Medical Workflows

Application Tip

Highlight specific examples of how you've designed or contributed to evaluation frameworks in healthcare AI or clinical research. If you have published studies or systematic reviews, include links to showcase your ability to synthesize evidence and define quality metrics.

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