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Medical Artificial Intelligence Jobs (NOW HIRING)

Amrize

Director of Artificial Intelligence

Portland, OR · On-site

$170K - $220K/yr

We're seeking a Director of Artificial Intelligence who's ready to be part of our mission to ... Medical, Dental, Disability, and Life Insurance * Holistic Health & Well-being programs * Flexible ...

LS3002 GE Vernova Operations LLC

NY · On-site

$98K - $164K/yr

Our Artificial Intelligence (AI) team at GE Vernova's Advanced Research Center is at the heart of ... Benefits * medical, dental, vision, and prescription drug coverage * access to Health Coach from GE ...

KLA-Belgium

Artificial Intelligence Engineer

Milpitas, CA · On-site

$140K - $238K/yr

## Artificial Intelligence EngineerApplylocations: Milpitas, CAtime type: Full timeposted on: Posted 5 ... medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching ...

KLA-Belgium

$140K - $238K/yr

## Artificial Intelligence EngineerApplylocations: Milpitas, CAtime type: Full timeposted on: Posted 5 ... medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching ...

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How much do medical artificial intelligence jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for medical artificial intelligence in the United States is $22.95, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $24.28 per hour, depending on experience, location, and employer.

What is a medical artificial intelligence?

A Medical Artificial Intelligence job involves developing and applying AI technologies to improve healthcare outcomes. Professionals in this field work on tasks such as designing machine learning models for disease diagnosis, optimizing treatment plans, and automating administrative processes. They collaborate with healthcare providers, data scientists, and engineers to ensure AI tools are accurate, ethical, and safe. Roles in this field may include AI researchers, data scientists, and software engineers specializing in medical applications.

What are some typical challenges faced in a medical artificial intelligence position?

Professionals working in Medical Artificial Intelligence often encounter challenges such as ensuring data quality and privacy, integrating AI models with existing healthcare systems, and maintaining compliance with healthcare regulations. Interpreting complex medical data and collaborating with clinicians to validate AI algorithms can also be demanding yet rewarding aspects of the role. Additionally, balancing innovation with patient safety is a key consideration. Overcoming these challenges requires adaptability, a collaborative mindset, and a commitment to continuous learning and improvement.

What are the key skills and qualifications needed to thrive in a medical artificial intelligence position?

Thriving in a Medical Artificial Intelligence role requires a strong background in computer science, data analysis, and biomedical sciences, often supported by an advanced degree in a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), medical imaging platforms, and regulatory standards like HIPAA is vital. Excellent problem-solving abilities, effective communication, and collaboration skills set top performers apart. These competencies are essential for developing, deploying, and improving AI solutions that uphold patient safety and advance healthcare outcomes.

How to get into healthcare artificial intelligence?

To pursue a career in medical artificial intelligence, develop a strong foundation in computer science, machine learning, and healthcare data. Gaining experience through relevant internships, obtaining certifications in AI or data analysis, and familiarizing yourself with medical datasets and tools like Python, TensorFlow, or clinical informatics can improve your prospects.
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Infographic showing various Medical Artificial Intelligence job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $47,733 per year, or $22.9 per hour.

Artificial Intelligence SME

Washington, DC • On-site

Tunnell Government Services
See more jobs at Tunnell Government Servicesexternal

Full-time

Re-posted 20 days ago

Job description

Artificial Intelligence SME
A Subject Matter Expert (SME) in artificial intelligence with a focus on healthcare and biomedical research is needed to provide contracted support to the Biomedical Advanced Research and Development Authority (BARDA), within the U.S. Department of Health and Human Services (HHS) in Washington, DC. The mission of BARDA is to develop and procure medical countermeasures (MCM) that address the public health and medical consequences of chemical, biological, radiological, and nuclear (CBRN) accidents, incidents and attacks, pandemic influenza, and emerging infectious diseases. Specifically, BARDA supports the advanced development and procurement of drugs, vaccines and other products that are considered priorities for national health security. For more information on BARDA please visit their website at: http://www.phe.gov/about/BARDA/Pages/default.aspx
Specifically, this individual will provide strategic, technical, and scientific expertise on the application of artificial intelligence (AI), machine learning (ML), and advanced data analytics to BARDA's mission of developing and procuring medical countermeasures (MCMs) for public health emergencies. The AI SME will advise leadership, program managers, and technical teams on the integration of AI technologies across BARDA's programs, ensuring the agency remains at the forefront of innovation in biodefense, pandemic preparedness, and health security.

Major Duties & Responsibilities:

  • Advise BARDA leadership on emerging trends, opportunities, and risks in AI and related technologies for vaccines and/or therapeutics development.
  • Provide subject matter expertise to BARDA divisions in evaluating AI-enabled technologies, tools, and proposals.
  • Assess AI approaches used in diagnostics, therapeutics, and vaccines including review of algorithms and algorithm performance
  • Guide the design, implementation, and validation of AI applications to ensure scientific rigor, transparency, and compliance with federal policies.
  • Contribute to the formulation of policies, standards, and ethical frameworks governing AI use within BARDA.
  • Perform expert analysis and provide recommendations for applications of machine learning/artificial intelligence tools and capabilities to field of biotech research and development (e.g. digital health, drug discovery and design, clinical validation).
  • Evaluating diverse data sets for use with AI products/tools, such as EHR, claims, laboratory/clinical data, physiological data, genomic data, viral variant data, and/or social determinants of health data.
  • Advising on improvements to data collection and curation, developing standards, and developing data use and sharing agreements to enable AI applications
  • Advising R&D partnerships developing artificial intelligence products/tools to improve model function, design clinical validation studies, and implement production deployment and maintenance processes.


Requirements:

  • Advanced degree (Ph.D. or M.S) in Computer Science, Data Science, Engineering, Bioinformatics, or a related field
  • 15+ years of experience in vaccines and/or therapeutics development
  • Minimum of 8-10 years of experience applying AI/ML in healthcare, biomedical research, or health security contexts
  • Demonstrated expertise in algorithm development, data modeling, and AI governance
  • Demonstrated ability to communicate complex AI concepts to diverse stakeholders
  • Demonstrated experience serving as technical expert and leader in machine learning/artificial intelligence, data analytics, and algorithm development using medical and/or biological data.
  • Demonstrated understanding of software development principles and cloud-based platforms and services relevant to AI development.
  • Expertise in understanding artificial intelligence model function, clinical validation, production deployment, and ongoing maintenance

Must be a US Citizen or Full Green Card holder.

Apply