Intern - Generative AI Research Engineer

Cotiviti • Remote,

1d • Remote

About The Position

The Generative AI Research Engineer Intern 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.
We are currently looking for interns who can start in the Summer or Fall of 2026.

Requirements

• 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.
• Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions.
• Ability to work collaboratively and communicate effectively with cross-functional teams.
• Communicating with others to exchange information.
• Assessing the accuracy, neatness, and thoroughness of the work assigned.

Nice To Haves

• Experience with LLM/RAG models and LLM fine-tuning is a plus.
• Experience with vector embeddings and databases is a plus.

Responsibilities

• 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.
• Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
• Assists in developing and improving LLMs and ML tools used across the organization.
• Assists in establishing and maintaining an Artificial Intelligence Governance Program.
• 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.
• Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
• Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.
• Supports vendor evaluations and contributes to collaborations with vendors.
• Assists as a liaison between academic institutions, professional organizations, and research groups as needed.
• Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills.
• Complete all responsibilities and goals outlined in the internship program.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.

Benefits

• Base compensation ranges from $32.00 to $40.00 per hour.
• Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.

What This Job Offers

• Career Level: Intern