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Weekend Healthcare Artificial Intelligence Jobs (NOW HIRING)

Nwacc

... healthcare, and technology. * Facilitate discussions on the ethical, social, and economic ... Evening or weekend availability may be required. NWACC is an Equal Opportunity Employer, please see ...

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Weekend Healthcare Artificial Intelligence information

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$35K

$192.7K

$251.5K

How much do weekend healthcare artificial intelligence jobs pay per year?

As of Sep 10, 2026, the average yearly pay for weekend healthcare artificial intelligence in the United States is $192,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,000.00 and $250,000.00 per year, depending on experience, location, and employer.

What is a Weekend Healthcare Artificial Intelligence professional?

A Weekend Healthcare Artificial Intelligence professional is someone who specializes in applying AI technologies to healthcare settings, specifically during weekend shifts or operations. These professionals may develop, implement, or monitor AI systems that assist with diagnostics, patient management, data analysis, or administrative tasks during weekends. Their role ensures that healthcare facilities can leverage AI solutions even outside standard weekday hours, improving patient care and operational efficiency. They typically have expertise in both healthcare processes and artificial intelligence technologies.

How does a Weekend Healthcare Artificial Intelligence role typically collaborate with clinical staff, and what challenges might arise during this process?

In a Weekend Healthcare Artificial Intelligence role, professionals often work closely with clinical staff to implement, monitor, and troubleshoot AI-driven tools that assist in patient care and hospital operations. Collaboration typically involves regular communication to ensure that AI systems align with clinicians' needs and workflows, especially during weekends when staffing may differ from weekdays. Challenges can include managing urgent technical issues with limited resources, adapting to rapidly changing clinical situations, and ensuring clear, effective communication between technical and medical teams. Proactively building strong relationships and being responsive to feedback are key to overcoming these challenges.

What are the key skills and qualifications needed to thrive as a Weekend Healthcare Artificial Intelligence specialist, and why are they important?

To thrive as a Weekend Healthcare Artificial Intelligence Specialist, you need a solid background in computer science, data analytics, and healthcare informatics, often supported by a degree in a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), medical data systems, and possibly certifications in healthcare IT or AI are typically required. Strong problem-solving, communication, and teamwork skills help bridge the gap between technical teams and clinical staff. These abilities ensure effective, compliant deployment of AI solutions that improve patient outcomes and support weekend healthcare operations.

What is the difference between Weekend Healthcare Artificial Intelligence vs Weekend Healthcare Data Analyst?

AspectWeekend Healthcare Artificial IntelligenceWeekend Healthcare Data Analyst
Required CredentialsBackground in AI, machine learning, programming, often with degrees in computer science or related fieldsBackground in data analysis, statistics, healthcare informatics, often with degrees in data science or health information management
Work EnvironmentDeveloping AI models, programming, research in healthcare settings or tech companiesAnalyzing healthcare data, generating reports, supporting clinical decision-making in healthcare facilities
Employer & Industry UsageTech companies, healthcare startups, research institutionsHospitals, clinics, healthcare organizations, insurance companies

Weekend Healthcare Artificial Intelligence focuses on developing and implementing AI solutions in healthcare, requiring programming and machine learning skills. In contrast, Weekend Healthcare Data Analysts interpret healthcare data to support clinical and operational decisions. Both roles are vital but differ in technical focus and daily tasks.

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What are the most commonly searched types of Healthcare Artificial Intelligence jobs?

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Weekend Healthcare Artificial Intelligence jobs near you

Artificial Intelligence SME

Washington, DC

Tunnell Government Services
See more jobs at Tunnell Government Servicesexternal

Full-time

Re-posted 16 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