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Internship Computer Science Artificial Intelligence Jobs

Milliman

Artificial Intelligence (AI) Engineer

Dallas, TX

$104K - $126K/yr

... in Computer Science, Engineering, Applied Mathematics, Data Science, Artificial Intelligence, or a related quantitative field. * 1-3 years of relevant experience, which may include internships ...

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Internship Computer Science Artificial Intelligence information

What is the difference between Internship Computer Science Artificial Intelligence vs Internship Data Science?

AspectInternship Computer Science Artificial IntelligenceInternship Data Science
Required CredentialsComputer Science background, programming skills, basic AI knowledgeStatistics, programming, data analysis skills
Work EnvironmentResearch labs, tech companies, AI-focused teamsBusiness, finance, tech firms, data-driven departments
Industry UsageAI development, machine learning projectsData analysis, predictive modeling, data visualization
Search & Comparison IntentUnderstanding AI internship roles vs data science internshipsComparing data science internship opportunities with AI roles

Internship Computer Science Artificial Intelligence focuses on developing AI algorithms and machine learning models, often requiring programming and AI-specific knowledge. Internship Data Science emphasizes analyzing data, building predictive models, and deriving insights. While both involve programming and data skills, AI internships are more research and algorithm-oriented, whereas data science internships are more business and analysis-focused.

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Internship Computer Science Artificial Intelligence jobs near you

Artificial Intelligence SME

Tunnell Government Services

Washington, DC

Other

Re-posted 22 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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