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Manager Healthcare Artificial Intelligence Jobs (NOW HIRING)

Amrize

Director of Artificial Intelligence

Portland, OR · On-site

$170K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're seeking a Director of Artificial Intelligence who's ready to be part of our mission to ... Flexible Spending Accounts (FSAs) for health and dependent care * Vision and other Voluntary ...

LMI

Artificial Intelligence Lead

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... Implement and manage MLOps practices, including model versioning, monitoring, validation, and ...

LMI

Artificial Intelligence Lead

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... Implement and manage MLOps practices, including model versioning, monitoring, validation, and ...

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Manager Healthcare Artificial Intelligence information

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How much do manager healthcare artificial intelligence jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for manager healthcare artificial intelligence in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $32.69 per hour, depending on experience, location, and employer.

How does a manager healthcare artificial intelligence typically collaborate with clinical and IT teams to implement AI solutions?

Manager Healthcare Artificial Intelligence professionals often serve as a bridge between clinical staff and IT departments. They facilitate communication to ensure AI solutions align with clinical needs, regulatory requirements, and existing technology infrastructure. This collaboration often involves regular meetings to gather requirements, coordinate pilot testing, and integrate feedback from end-users such as doctors and nurses. By fostering cross-functional teamwork, they help ensure AI tools are both technically robust and clinically relevant, ultimately supporting better patient outcomes.

What are the key skills and qualifications needed to thrive as a manager healthcare artificial intelligence?

To thrive as a Manager Healthcare Artificial Intelligence, you need expertise in AI technologies, healthcare data analytics, and project management, typically supported by a degree in computer science, healthcare informatics, or a related field. Familiarity with machine learning platforms, programming languages (such as Python or R), and healthcare data systems like EHRs, as well as certifications such as PMP or healthcare AI credentials, is important. Strong leadership, communication, and problem-solving skills help foster collaboration between technical teams and healthcare stakeholders. These skills and qualities are essential to drive successful AI initiatives that improve patient outcomes and operational efficiency in healthcare organizations.

What does a manager healthcare artificial intelligence do?

A Manager of Healthcare Artificial Intelligence oversees the development, implementation, and management of AI technologies within healthcare organizations. They lead teams of data scientists, engineers, and healthcare professionals to create solutions that improve patient care, streamline operations, and support clinical decision-making. Their responsibilities often include project management, strategy development, regulatory compliance, and ensuring that AI systems are ethical and effective. This role requires knowledge of both healthcare practices and advanced AI technologies to bridge the gap between clinical needs and technical solutions.

What is the difference between Manager Healthcare Artificial Intelligence vs Data Scientist Healthcare?

AspectManager Healthcare Artificial IntelligenceData Scientist Healthcare
Required CredentialsBachelor's/Master's in Healthcare, AI, or related fields; experience in AI project managementBachelor's/Master's/PhD in Data Science, Computer Science, or related fields; strong statistical and programming skills
Work EnvironmentLeads AI teams, collaborates with healthcare providers, manages projectsAnalyzes healthcare data, develops models, interprets data insights
Employer & Industry UsageHospitals, healthcare tech companies, research institutionsHealthcare organizations, biotech firms, research labs

The Manager Healthcare Artificial Intelligence focuses on leading AI projects and managing teams within healthcare settings, while Data Scientists analyze healthcare data and develop models. Both roles require technical expertise, but the manager emphasizes leadership and project oversight, whereas the data scientist concentrates on data analysis and model development.

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Manager Healthcare Artificial Intelligence jobs near you
Infographic showing various Manager Healthcare Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $54,806 per year, or $26.3 per hour.

Artificial Intelligence SME

Tunnell Government Services

Washington, DC • On-site

Full-time

Re-posted 18 days ago

Job description

Tunnell Government Services, Inc., is comprised of the industry's leading scientists, medical and technical experts, and human capital and organizational development professionals. We approach all projects as a team and are committed to helping our clients transform and quickly achieve strategic goals. If you are interested in joining an employee-owned company that develops and implements innovative, integrated and differentiated solutions, please click on the links below to find the job that is right for you and contact us.
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.
Tunnell strives to hire and retain the most qualified talent. We believe that having employees with different backgrounds and capabilities contributes to the success of our business. To attract qualified applicants, Tunnell posts to a wide variety of job sites. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Please be advised that certain client contracts may outline specific requirements for onsite work. Tunnell employees and/or contractors are expected to comply with all client requirements, including any safety and health protocols.

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