Research Fellow-AI and Informatics-Tao lab

Mayo Clinic • Jacksonville, FL

1d

About The Position

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. For more information, see - https://www.mayo.edu/research/faculty/tao-cui-ph-d/bio-20563927

Requirements

• Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program
• Completed no more than one prior postdoctoral fellowship, at Mayo Clinic or elsewhere
• Strong foundation in artificial intelligence, machine learning, and data analytics
• Demonstrated interest in applying computational methods to improve healthcare outcomes

Responsibilities

• Advancing AI-driven discovery
• Contributing to the design of scalable, agent-based architectures for clinical reasoning, virtual trial, and AI-based clinical decision support
• Developing and evaluating biomedical ontologies that enable interoperable, computable, and semantically rich data integration

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees