Research Fellow-AI and Informatics-Tao lab at Mayo Career Site US

Jacksonville, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jul, 26

Salary

84220.0

Posted On

20 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial intelligence, Machine learning, Natural language processing, Large language models, Agentic AI, Multimodal deep learning, Biomedical ontologies, Data analytics, Clinical reasoning, Knowledge representation, Translational research, Clinical decision support, Data integration, Computational methods

Industry

Hospitals and Health Care

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. For more information, see - https://www.mayo.edu/research/faculty/tao-cui-ph-d/bio-20563927 [https://www.mayo.edu/research/faculty/tao-cui-ph-d/bio-20563927] Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans [https://jobs.mayoclinic.org/benefits/] – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights * Medical: Multiple plan options. * Dental: Delta Dental or reimbursement account for flexible coverage. * Vision: Affordable plan with national network. * Pre-Tax Savings: HSA and FSAs for eligible expenses. * Retirement: Competitive retirement package to secure your future. 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. [https://jobs.mayoclinic.org/alllocations] Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law" [https://www.eeoc.gov/poster]. Mayo Clinic participates in E-Verify [https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf] and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Responsibilities

The Research Fellow will develop and deploy advanced AI methodologies, including NLP, LLMs, and agentic systems to address complex biomedical and clinical challenges. They will also design scalable, agent-based architectures and develop biomedical ontologies to enable interoperable and semantically rich data integration.