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Cotiviti

Catches billing errors for health insurers

Generative AI/Agentic AI/Research Intern

Natural Language Processing & LLMsUpdated on Nov 10
InternshipRemote in USA$32 - $40 /hrRemote

About the Job

Requirements

  • Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field; a PhD is preferred.
  • Demonstrated interest or experience in AI, healthcare technology, or informatics research.
  • Strong foundational knowledge in generative AI model development, architectures, and vector databases.
  • Hands-on experience with machine learning and deep learning models.
  • Experience with large data sets and building data pipelines for machine learning solutions.
  • Ability to work collaboratively and communicate effectively with cross-functional teams.
  • Must be able to provide a dedicated, secure work area and high-speed internet access, connectivity, and office setup and maintenance.
  • Must be able to perform duties with or without reasonable accommodation.

Responsibilities

  • Research and develop advanced healthcare informatics solutions specializing in agentic AI, exploring applications of agentic and generative AI in healthcare treatment, payment, and operations.
  • Develop, analyze, and collaborate on agentic AI projects, supporting practical implementation in healthcare environments.
  • Assist in developing and improving large language models and machine learning tools used across the organization.
  • Assist in establishing and maintaining an artificial intelligence governance program.
  • Gain hands-on experience in generative AI model development, architecture design, and database management.
  • Conduct research on agentic AI models and their potential impact on healthcare workflows and decision-making.
  • Assist in designing, developing, and testing autonomous AI agents and generative AI systems tailored for healthcare informatics.
  • Support efforts to establish and maintain an artificial intelligence governance program focused on agentic AI ethics and safety.
  • Communicate technology-related updates and requirements to other departments and contribute to presentations for senior management.
  • Collaborate with research and development teams, product management, and strategic analysts to support ongoing projects.
  • Partner with business units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
  • Support technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to solution delivery.
  • Assist in collaborative efforts with academic research teams, practicums, internships, and vendor proof-of-concepts.
  • Support vendor evaluations and contribute to collaborations with vendors.
  • Assist as a liaison between academic institutions, professional organizations, and research groups as needed.
  • Complete responsibilities and goals outlined in the internship program, along with assigned special projects and other duties.

Desired Qualifications

  • Experience with large language model and retrieval-augmented generation models and large language model fine-tuning.
  • Experience with vector embeddings and databases.
  • Hands-on experience working with cloud services such as Amazon Web Services or Microsoft Azure.

About the Company

Cotiviti

Catches billing errors for health insurers

Cotiviti sells software and review services that help US health insurers pay medical claims correctly, catch fraud, and track the quality of care their members receive. Its software for HEDIS, the care-quality scores US health plans report, has passed certification by the nonprofit NCQA every year since 2001. Insurers run claims through its coding and payment-policy checks before paying them, while its auditors review medical records and paid claims to recover overpayments. Clients pay it software fees or a share of the savings it finds. Cotiviti began in 1979 by auditing retailers' payments to suppliers, which it still does, and it is based in South Jordan, Utah, and owned by private equity firms Veritas Capital and KKR.

Company size
5,001-10,000
Company stage
IPO
Headquarters
South Jordan, UT
Founded
1979

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