Artificial Intelligence in Medicine – Assistant​/ Associate​/ Full Professor

Position Summary

The Florida Atlantic University Charles

E. Schmidt College of Medicine’s, Department of Population Health, is recruiting a visionary faculty member in Artificial Intelligence in Medicine to develop and lead transformative AI‑driven initiatives that advance population health, health equity, healthcare delivery, biomedical and community‑engaged research. This role offers the opportunity to advance AI applications, machine learning, data science and predictive analytics to address complex public health challenges, improve health outcomes, optimize healthcare systems, enhance biomedical research, innovate clinical research, and develop next‑generation graduate and medical education.

The successful candidate will serve as a catalyst for cross‑disciplinary collaboration, advancing discovery, and improving health outcomes on a broad scale. The mission of the Schmidt College of Medicine as a community‑based medical school is to advance the health and well‑being of our community by training future generations of humanistic clinicians and scientists and translating discoveries to patient‑centered care. We are committed to providing educational programs that enable our trainees to become active, self‑directed, lifelong learners who understand the centrality of collaborative relationships in healthcare research and delivery.

We are looking for someone with visionary thinking and a passion for ultimately advancing scientific knowledge and healthcare delivery. The successful candidate will lead and contribute to cutting‑edge research, education, and strategic initiatives at the intersection of artificial intelligence, population health, public health, healthcare delivery, and health services research.

Collaborate with researchers throughout the College and University to integrate AI into ongoing translational and clinical projects. Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations. Contribute to institutional AI strategic efforts. Develop, lead, and sustain a competitive, externally funded research program (e.g., NIH, NSF, DoD, industry) applying AI/ML methodologies across cutting edge research including observational, clinical, community‑based, health services research projects and health outcomes research.

Disseminate findings in high‑impact journals and at national and/or international conferences.

Design, implement, and evaluate AI‑focused coursework for graduate, medical, and health professional education. Mentor College of Medicine graduate students, medical students, residents, postdocs, and faculty in the development, utilization and policies of AI methodologies in healthcare, clinical, population health, public health, or biomedical research settings. Embed AI modules into existing core and elective courses in the College of Medicine. Serve as a resource for developing new educational programs in the College of Medicine.

Serve as an AI resource for faculty and researchers, offering expertise and guidance on data science integration across departments. Partner with program directors to identify AI integration opportunities in existing and future graduate curricula. Contribute to departmental, college, and university committees, and participate in strategic AI‑related initiatives and help shape the College’s AI strategy. Build and sustain partnerships with industry, government agencies, and academic collaborators to foster AI‑driven research, training, and innovation.

Collaborate with clinical partners to develop learning health systems initiatives that narrow the gap between evidence and practice.

• Ph.D., M.D., or equivalent degree or experience in applying artificial intelligence, machine learning, or advanced analytics in healthcare, clinical, population health, public health, or biomedical research settings.
• Demonstrated AI and/or machine learning expertise with relevance to biomedical, public health, or clinical challenges.
• Strong research…