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Cotiviti

Intern – Generative AI Research Engineer

Cotiviti

Intern focusing on Generative AI research in healthcare technology. Conducting research, creating reports, and collaborating with teams at Cotiviti.

Posted 5/8/2026internshipRemote • 🇺🇸 United StatesEntry Level💰 $32 - $40 per hourWebsite

Tech Stack

Tools & technologies
AWSAzureCloud

About the role

Key responsibilities & impact
  • Conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging Artificial General Intelligence technology for healthcare treatment, payment, and operations use cases.
  • Creates research papers, analytical reports, proposals, and educational material.
  • Maintains a deep understanding of technology trends and hands-on experience with relevant technologies.
  • Develops generative AI models, architectures, databases, and systems to improve healthcare solutions.
  • Assists in developing and improving LLMs and ML tools used across the organization.
  • Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
  • Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.
  • Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.

Requirements

What you’ll need
  • Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD.
  • 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 working with Machine Learning and Deep Learning models.
  • Experience with LLM/RAG models and LLM fine-tuning is a plus.
  • Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions.
  • Experience with vector embeddings and databases is a plus.
  • Ability to work collaboratively and communicate effectively with cross-functional teams.

Benefits

Comp & perks
  • N/A 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

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Hard Skills & Tools
generative AIartificial general intelligencemachine learningdeep learningLLMRAG modelsvector databasesdata pipelinescloud serviceshealthcare informatics
Soft Skills
collaborationcommunicationanalytical skillspresentation skills