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Medical Artificial Intelligence Radiologist Jobs in Washington

GDIT

Artificial Intelligence Governance Specialist

Falls Church, VA · Hybrid

$114K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our benefits package for all US-based employees includes a variety of medical plan options, some ... and artificial intelligence to ensure authenticity and protect against identity fraud. You are ...

RadNet

Radiologist Administrative Assistant

Clinton, MD · On-site

$16.50 - $21.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Radiology Assistant Artificial Intelligence; Advanced Technology; The very best in patient care ... Medical terminology knowledge * Recent work experience in a medical/radiology office (preferred) We ...

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All JobsMedical Artificial Intelligence Radiologist JobsMedical Artificial Intelligence Radiologist Jobs in Washington

Medical Artificial Intelligence Radiologist information

See Washington salary details

$56.6K

$390.7K

$453K

How much do medical artificial intelligence radiologist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for medical artificial intelligence radiologist in Washington is $390,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $362,400.00 and $453,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Medical Artificial Intelligence Radiologist, and why are they important?

To thrive as a Medical Artificial Intelligence Radiologist, you need a strong foundation in medical imaging, radiology, and AI principles, typically supported by a medical degree, radiology board certification, and specialized training in artificial intelligence applications. Familiarity with medical imaging software, AI diagnostic tools, programming languages such as Python, and experience with machine learning platforms are essential. Analytical thinking, attention to detail, and effective communication are critical soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualities are crucial to ensure accurate diagnoses, optimize AI integration in clinical workflows, and improve patient outcomes.

What is the difference between Medical Artificial Intelligence Radiologist vs Medical Radiologist?

AspectMedical Artificial Intelligence RadiologistMedical Radiologist
CredentialsTypically no medical degree; specialized AI trainingMedical degree (MD or DO), radiology residency, board certification
Work EnvironmentUses AI software to assist in image analysis, often in hospitals or clinicsInterprets medical images directly, works in hospitals, clinics, or imaging centers
Industry UsageSupports radiologists by providing AI-driven insightsPerforms diagnostic imaging interpretation and patient diagnosis

The Medical Artificial Intelligence Radiologist primarily functions as a support tool using AI algorithms to assist in image analysis, whereas the Medical Radiologist directly interprets medical images and makes diagnoses. Both roles are integral to radiology but differ in credentials, work environment, and responsibilities.

What is a Medical Artificial Intelligence Radiologist?

A Medical Artificial Intelligence Radiologist is a professional who combines expertise in radiology with advanced knowledge of artificial intelligence (AI) to interpret medical images and assist in diagnosing diseases. They use AI-powered tools and algorithms to analyze X-rays, CT scans, MRIs, and other imaging data, helping to improve accuracy, efficiency, and early detection of medical conditions. These specialists often collaborate with software developers, data scientists, and clinicians to develop and validate AI solutions that support clinical decision-making. Their role is evolving as AI technology becomes increasingly integrated into healthcare systems.

How does a Medical Artificial Intelligence Radiologist typically collaborate with IT specialists and other clinicians in their daily workflow?

Medical Artificial Intelligence Radiologists routinely work closely with IT professionals to ensure that AI tools integrate smoothly with hospital imaging systems and electronic health records. They also communicate with fellow radiologists and referring clinicians to interpret AI-generated findings, validate results, and discuss complex cases. This collaborative environment helps ensure that AI insights are clinically relevant and that patient care remains the top priority. Effective teamwork is essential for troubleshooting technical issues and optimizing the use of AI in diagnostic workflows.

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For Medical Artificial Intelligence Radiologist jobs in Washington, the most frequently searched job titles are:

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Medical Artificial Intelligence Radiologist jobs near you

Artificial Intelligence SME

Tunnell Government Services

Washington, DC

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