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New faculty will join a multi-college network of investigators harnessing AI to benefit science and health in exciting new ways. UF Health is strengthening infrastructure and augmenting expertise to expand AI research, applications and training in health care delivery, biomedical discovery, and public and population health. Our first phase of hiring is targeting expertise that builds on strengths emerging at the intersection of those areas: decision support, diagnostic and therapeutic development, and determinants of health. Faculty hired through the UF Health AI initiative will expand applied expertise as well as cross-cutting methodological and computational expertise to advance trustworthy AI in the health sciences.

The SEARCH PROCESS

The UF health colleges are implementing a phased, collaborative and inclusive search process for the AI initiative that uses a cluster-hiring approach. Candidates hired under this initiative will have a primary appointment in a best-fitting UF health college and department, with opportunities for affiliate or joint appointments with other units throughout UF. The search is led by the UF Health AI Steering Committee and three thematic search committees comprising faculty from multiple UF Health colleges. Committees receive guidance from equity advisors and strategic talent experts, and AI faculty candidates should demonstrate prior experience and/or commitment to working in a highly collaborative and inclusive environment.

Our Areas of Focus

Health care delivery

AI-enhanced health care decision-making and precision health.

Biomedical discovery

AI-fueled development of novel diagnostics and therapeutics.

Public and population health

AI-powered modeling and surveillance of health determinants.

UF Health

Join our team

Learn more about AI positions across the academic health center on the UF AI jobs website.

Data scientists Wei-Hsuan “Jenny” Lo-Ciganic, Chenglong Li and Caitrin McDonough use the HiPerGator supercomputer to advance their pharmaceutical research.