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Medical Artificial Intelligence Jobs (NOW HIRING)

Amrize

Director of Artificial Intelligence

Portland, OR

$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 ...

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 ...

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How much do medical artificial intelligence jobs pay per hour?

As of Jun 11, 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 are the key skills and qualifications needed to thrive in the Medical Artificial Intelligence position, and why are they important?

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 much does AI in healthcare pay?

Medical artificial intelligence professionals typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Entry-level roles may start lower, while senior positions or specialized skills in machine learning and data analysis can command higher salaries.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or chief AI officer, often in large tech or healthcare companies. These roles usually require advanced skills in data science, programming, and AI frameworks, along with extensive experience and leadership responsibilities.

What are some AI healthcare jobs?

AI healthcare jobs include roles such as Medical AI Engineer, Data Scientist, Machine Learning Engineer, and Clinical Data Analyst. These positions involve developing algorithms, analyzing medical data, and creating AI tools to improve patient care, often requiring knowledge of programming, machine learning frameworks, and healthcare regulations.

What is a Medical Artificial Intelligence job?

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 jobs can AI take over in the medical field?

AI can automate tasks performed by roles such as radiologists, where it analyzes medical images for abnormalities, and medical coders, who assign diagnostic and procedure codes. It also supports administrative roles like appointment scheduling and billing, allowing healthcare professionals to focus more on patient care. However, AI typically complements rather than fully replaces these jobs, requiring human oversight and expertise.

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.

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Medical Artificial Intelligence jobs near you

Artificial Intelligence SME

Tunnell Government Services

Washington, DC

Other

Posted 14 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.
  • 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
  • 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.

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