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Ai Medical Researcher Jobs (NOW HIRING)

Experience in clinical teaching, medical research, or quality improvement initiatives. * Excellent ... Help shape the future of AI-powered clinical decision-making. * Apply your Internal Medicine ...

Experience in clinical teaching, medical research, or quality improvement initiatives. * Excellent ... Help shape the future of AI-powered clinical decision-making. * Apply your Internal Medicine ...

OR · On-site

$232K - $243K/yr

You will work closely with R&D, AI, medical, business development, and marketing to ensure our products are scientifically credible, operationally feasible, and commercially compelling. What You'll ...

Medical Research Assistants will monitor activities of study participants, handle human biological ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Researcher

New York, NY · On-site

$113K - $170K/yr

Incorporates Generative AI into daily work as appropriate and trains or advises lawyers and others ... medical, dental, and vision insurance, life and disability coverage, 401(k) retirement savings ...

Researcher

Los Angeles, CA · Hybrid

$113K - $170K/yr

Incorporates Generative AI into daily work as appropriate and trains or advises lawyers and others ... medical, dental, and vision insurance, life and disability coverage, 401(k) retirement savings ...

Researcher

Washington, DC · Hybrid

$113K - $170K/yr

Incorporates Generative AI into daily work as appropriate and trains or advises lawyers and others ... medical, dental, and vision insurance, life and disability coverage, 401(k) retirement savings ...

Showing results 41-60

Ai Medical Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do ai medical researcher jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai medical researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Medical Researcher vs Data Scientist in Healthcare?

AspectAi Medical ResearcherData Scientist in Healthcare
Required CredentialsAdvanced degrees in AI, machine learning, or biomedical fields; certifications in AI toolsDegree in data science, statistics, or related fields; certifications in data analysis and programming
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHospitals, healthcare tech firms, research organizations
Employer & Industry UsageMedical research, biotech, AI-focused healthcare startupsHealthcare providers, pharmaceutical companies, health tech firms

While both roles involve data analysis and AI, Ai Medical Researchers focus specifically on developing AI models for medical applications, whereas Data Scientists in Healthcare analyze healthcare data to inform decisions. The roles often overlap but differ mainly in their focus on AI development versus data analysis.

What does an AI medical researcher do?

An AI Medical Researcher applies artificial intelligence, machine learning, and data analysis techniques to medical and healthcare problems. They develop algorithms to analyze medical data, such as patient records or imaging, to assist in diagnosis, treatment planning, and drug discovery. Their work often involves collaborating with clinicians, data scientists, and other researchers to create innovative solutions that improve patient outcomes and advance medical knowledge.

What are some typical challenges faced by AI medical researchers when collaborating with healthcare professionals?

AI Medical Researchers often encounter challenges such as bridging the communication gap between technical teams and healthcare professionals, as medical practitioners may not always be familiar with AI concepts and terminology. Additionally, integrating AI solutions into existing clinical workflows can be complex due to regulatory requirements, data privacy concerns, and the need for high-quality annotated medical data. Successful collaboration requires a proactive approach to interdisciplinary teamwork, frequent knowledge sharing, and a strong focus on practical, patient-centered outcomes.

What are the key skills and qualifications needed to thrive as an AI medical researcher?

To thrive as an AI Medical Researcher, you need a strong background in computer science, biomedical sciences, and statistics, often supported by a PhD or relevant advanced degree. Proficiency in programming languages (such as Python or R), machine learning frameworks, and experience with medical data analysis tools are typically required. Critical thinking, interdisciplinary collaboration, and effective communication help researchers bridge the gap between technical innovation and clinical application. These skills are essential to develop impactful AI solutions that advance medical research and improve patient outcomes.
More about Ai Medical Researcher jobs
What cities are hiring for Ai Medical Researcher jobs? Cities with the most Ai Medical Researcher job openings:
What states have the most Ai Medical Researcher jobs? States with the most job openings for Ai Medical Researcher jobs include:
What job categories do people searching Ai Medical Researcher jobs look for? The top searched job categories for Ai Medical Researcher jobs are:
Infographic showing various Ai Medical Researcher job openings in the United States as of August 2026, with employment types broken down into 53% Full Time, 20% Part Time, 7% Temporary, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Internal Medicine AI Evaluation Specialist

Weekday AI

Remote

$130 - $180/hr

Other

Re-posted yesterday


Job description

This role is for one of our clients

Compensation: $130-$180 per hour

Join a leading AI research initiative focused on advancing healthcare-focused artificial intelligence. We are seeking experienced Internal Medicine physicians to contribute their clinical expertise toward training and evaluating next-generation AI models capable of sophisticated medical reasoning.

In this role, you will develop realistic clinical scenarios, evaluate AI-generated responses against evidence-based standards, and help improve how AI systems reason about diagnosis, treatment planning, and patient management within Internal Medicine.

We welcome Internal Medicine attending physicians, hospitalists, fellows, final-year residents, and other qualified Internal Medicine professionals who are passionate about applying their expertise to the future of healthcare AI.

Requirements

Key Responsibilities Design Clinical Scenarios
  • Create realistic Internal Medicine case studies based on everyday clinical practice.
  • Develop prompts covering:
    • Diagnostic reasoning
    • Differential diagnosis
    • Treatment planning
    • Risk stratification
    • Evidence-based guideline adherence
    • Long-term patient management
Create Reference-Quality Responses
  • Produce attending physician-level reference solutions that reflect current clinical best practices.
  • Ensure recommendations align with established evidence-based guidelines.
Evaluate AI Performance
  • Review and assess AI-generated clinical responses using structured evaluation frameworks.
  • Identify reasoning gaps, inaccuracies, omissions, and opportunities for improvement.
  • Provide detailed written feedback to improve AI model performance and clinical reliability.
Collaborate with Clinical Teams
  • Participate in onboarding sessions and specialty calibration meetings.
  • Work with multidisciplinary teams to ensure consistency, accuracy, and quality across medical evaluations.
Required Qualifications

Applicants should meet one of the following criteria:

Attending Physicians
  • Board-certified in Internal Medicine.
  • Current, active, and unrestricted medical license.
Resident Physicians
  • Final-year Internal Medicine resident.
  • Recent residency graduates must be board-eligible.
Fellows
  • Board-certified or board-eligible in Internal Medicine or a related subspecialty.
  • Current, active, and unrestricted medical license.

Professionals with expertise in Internal Medicine subspecialties are encouraged to apply, including:

  • Cardiology
  • Hematology & Oncology
  • Endocrinology
  • Nephrology
  • Gastroenterology
  • Pulmonology
  • Other Internal Medicine subspecialties
Preferred Qualifications
  • Strong knowledge of evidence-based medicine and clinical practice guidelines.
  • Experience in clinical teaching, medical research, or quality improvement initiatives.
  • Excellent written communication and analytical skills.
  • Interest in artificial intelligence, clinical decision support, or healthcare technology.
Engagement Details
  • Fully remote with 100% asynchronous work.
  • Standard commitment of approximately 20 hours per week, with opportunities for additional hours based on project demand.
  • Flexible working schedule.
  • Weekly payments.
  • Rolling onboarding with ongoing engagement opportunities.
  • Compensation is determined by clinical experience, expertise, and seniority.
Why Join
  • Help shape the future of AI-powered clinical decision-making.
  • Apply your Internal Medicine expertise to improve advanced healthcare AI systems.
  • Collaborate with leading AI researchers and experienced clinicians.
  • Contribute to high-impact projects that advance safe, accurate, and evidence-based medical AI.
Equal Opportunity Statement

All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.

Contract Information
  • Independent contractor engagement.
  • Fully remote work completed on your own schedule.
  • Projects may be extended, modified, or concluded based on business needs and individual performance.
  • Work does not involve access to confidential or proprietary information from any employer, client, or institution.
  • Weekly payments are processed through supported payment platforms based on approved work completed.
  • Please note that visa sponsorship is not available for this opportunity.