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How much do clinical artificial intelligence jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for clinical artificial intelligence in the United States is $34.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $32.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in clinical artificial intelligence, and why are they important?

To thrive in Clinical Artificial Intelligence, you need a strong background in medicine, data science, and machine learning, often supported by advanced degrees in fields such as computer science, biomedical engineering, or health informatics. Familiarity with programming languages (Python, R), AI frameworks (TensorFlow, PyTorch), electronic health records (EHRs), and relevant certifications (such as Certified Health Data Analyst) is typically required. Excellent analytical thinking, problem-solving, and interdisciplinary communication skills help bridge the gap between technical teams and clinical practitioners. These skills are crucial for developing effective AI solutions that enhance patient outcomes and integrate seamlessly into healthcare environments.

What is clinical artificial intelligence?

Clinical Artificial Intelligence (AI) refers to the use of advanced computer algorithms and machine learning techniques to assist in medical decision-making, diagnosis, treatment planning, and patient care. These AI systems analyze large amounts of medical data, such as images, lab results, and patient records, to provide insights that can help healthcare professionals deliver more accurate and efficient care. Clinical AI is increasingly being integrated into various healthcare settings, including hospitals, clinics, and telemedicine platforms, to improve patient outcomes and streamline workflows.

How does a clinical artificial intelligence specialist typically collaborate with healthcare professionals in a clinical setting?

Clinical Artificial Intelligence specialists work closely with physicians, nurses, and other healthcare staff to develop, implement, and refine AI-driven tools that support patient care. This often involves gathering clinical requirements, integrating AI solutions into existing workflows, and providing training to ensure effective adoption. Frequent interdisciplinary meetings are common to align technology with patient safety and regulatory standards. Building strong communication channels with clinical team members is essential for successful deployment and ongoing optimization of AI systems.
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Clinical Artificial Intelligence jobs near you
Infographic showing various Clinical Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 72% Full Time, 17% Part Time, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $72,002 per year, or $34.6 per hour.

Artificial Intelligence SME

Tunnell Government Services

Washington, DC

Full-time

Re-posted 21 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