Job Description
The research laboratory of Dr. Tao in the Department of Artificial Intelligence and Informatics is seeking a highly motivated Research Fellow to join an interdisciplinary program at the forefront of healthcare AI innovation. This role focuses on developing and deploying cutting-edge artificial intelligence methodologies, including ontology-driven knowledge representation frameworks, advanced Natural Language Processing (NLP), Large Language Models (LLMs), agentic AI systems, multimodal deep learning to address complex biomedical and clinical challenges across translational research and patient care.
The Research Fellow will play a central role in advancing AI-driven discovery, contributing to the design of scalable, agent-based architectures for clinical reasoning, virtual trial, and AI-based clinical decision support, while also developing and evaluating biomedical ontologies that enable interoperable, computable, and semantically rich data integration. This work will support explainable, reproducible, and mechanism-aware AI systems that bridge foundational research with real-world clinical applications. The ideal candidate will have a strong foundation in artificial intelligence, machine learning, and data analytics, along with a demonstrated interest in applying computational methods to improve healthcare outcomes.
Qualifications
Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program. Research Fellow is appropriate for individuals who have completed no more than one prior postdoctoral fellowship, at Mayo Clinic or elsewhere.
About the Team
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
