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Cotiviti

Intern – Gen AI Research Engineer

Cotiviti

. Conduct primary and secondary research on advanced and emerging healthcare informatics technology, focusing on Generative AI and emerging Artificial General Intelligence for healthcare treatment, payment, and operations use cases .

Posted 9/18/2026full-timeRemote • United StatesEntry Level💰 $32 - $40 per hourWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Generative AI model development, architectures, and healthcare informatics technology, with a strong focus on collaboration and communication across cross-functional teams. Proficient in utilizing cloud services and managing large data sets to enhance healthcare solutions.

Highest-signal resume keywords
Generative AI Model DevelopmentMachine LearningDeep LearningAWS Cloud ServicesHealthcare Technology Research

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Generative AILLM Fine-TuningVector DatabasesData Pipeline DevelopmentLarge Data Set Management
Soft Skills
Collaborative WorkEffective Communication
Tools & Technologies
AWSAzure
Industry Keywords
Healthcare InformaticsArtificial Intelligence GovernanceEmerging Technology TrendsAcademic Corporate Engagement

Tech Stack

Tools & technologies
AWSAzureCloud

About the role

Key responsibilities & impact
  • Conduct primary and secondary research on advanced and emerging healthcare informatics technology, focusing on Generative AI and emerging Artificial General Intelligence for healthcare treatment, payment, and operations use cases
  • Create research papers, analytical reports, proposals, and educational material
  • Maintain a deep understanding of technology trends and hands-on experience with relevant technologies
  • Develop generative AI models, architectures, databases, and systems to improve healthcare solutions
  • Assist in developing and improving LLMs and ML tools used across the organization
  • Assist in establishing and maintaining an Artificial Intelligence Governance Program
  • 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 on 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 tasks, assisting with day-to-day operations, and contributing to solution delivery
  • Assist with academic research teams, practicums, internships, and vendor proofs of concept
  • Support vendor evaluations and vendor collaborations
  • Liaise with academic institutions, professional organizations, and research groups
  • Support Academic Corporate Engagement efforts to develop research and educational talent
  • Complete internship-program responsibilities, goals, special projects, and assigned duties

Requirements

What you’ll need
  • Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field, such as Biomedical Informatics or Computer Science; PhD 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 LLM/RAG models and LLM fine-tuning is a plus
  • Hands-on experience with AWS or Azure cloud services
  • Experience with 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
  • Must be able to provide a dedicated, secure work area
  • Must be able to provide high-speed internet access/connectivity and office setup and maintenance
  • Must be able to perform duties with or without reasonable accommodation

Benefits

Comp & perks
  • Flexible assignment length from one semester up to one year
  • Choice of 20–40 hours per week
  • Overtime pay for hours worked in excess of 40 hours per week, or as required by applicable state law
  • Reasonable accommodation available