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.
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 with a focus on agentic AI ethics and safety.
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.

Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science, AI, etc.) 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.

Intern – Generative AI, Agentic AI, Research

Key skills