Assistant, Associate or Full Professor, Biomedical Informatics (TT) (MD, PhD , MD/PhD)
Position Highlights
The University of Arizona College of Medicine - Phoenix invites applications for three tenure-track faculty positions in the Department of Biomedical Informatics, broadly defined. Areas of emphasis include, but are not limited to, computational medicine, artificial intelligence (AI) and machine learning (ML) in healthcare and medicine, clinical informatics, digital health innovation, biomedical data science and data-driven implementation science, particularly as applied to complex diseases such as diabetes, cancer, and other chronic health conditions.
These positions are part of a coordinated cluster hire to expand the Department of Biomedical Informatics at the U of A College of Medicine - Phoenix. We welcome outstanding applicants at all career stages who demonstrate excellence in team science research, education and relevant interdisciplinary collaboration. Appointment rank will be commensurate with experience and expertise.
Duties & Responsibilities
- Have demonstrated ability to design, develop and apply state-of-the-art Data Science, ML and/or AI methodologies to biomedical text data, imaging data, omics data and other relevant healthcare data.
- Experience collaborating with biomedical research programs, clinical partners or health care systems.
- Evidence of strong interdisciplinary communication skills and ability to work in multi-stakeholder environments.
- Develop and sustain an independent, externally funded research program, with a strong publication record and clear trajectory toward national impact.
- Have demonstrated experience with real-world clinical data modalities (e.g., EHR, imaging, wearables/remote monitoring, clinical text) and rigorous evaluation/validation practices supporting translation to clinical workflows, population health, and disease-specific applications.
- Experience designing multimodal and longitudinal models (e.g., sequential prediction, multimodal fusion, graph-based learning) for diagnostic/prognostic applications.
- Teaching service expectations: Teach graduate program or undergraduate courses in biomedical informatics / data science / AI and participate in curriculum development. Participate in departmental, college and professional services (committees, peer review, editorial/reviewer activities).
Find Your Best Opportunity
Tell them AcademicJobs.com sent you!
