Link copied to clipboard!
Back to Jobs
Assistant Professor at InsideHigherEd
InsideHigherEd
Gainesville, FL
Education
Posted 0 days ago
Job Description
Assistant ProfessorJob No: 537101Work Type: Full TimeLocation: Main Campus (Gainesville, FL)Categories: Health Care Administration/SupportDepartment: 29240101 - MD-HOBI-GENERALJob Description Classification Title: Assistant ProfessorClassification Minimum Requirements: The University of Florida College of Medicine, Department of Health Outcomes and Biomedical Informatics, is seeking a tenure-track Assistant Professor in the Division of Biomedical Informatics and Data Science. A Ph.D. in biomedical informatics or a related discipline such as computer science or information science. A demonstrated track record of research and scholarly contributions in biomedical informatics. A clear commitment to pursuing a long-term academic career in the field. Job Description: Demonstrate expertise in deep learning, causal AI, large language models (LLMs), with a record of applying these methods to disease diagnosis and treatment in areas such as cancer, Alzheimer's disease and related dementias, behavioral health and developmental disabilities (including depression, autism), and type 2 diabetes. Preference will be given to applicants with experience in multimodal learning, graph neural networks, and interpretable AI. We also welcome candidates with interests in emerging areas such as multi-agent learning and the development of foundation models for electronic health records (EHRs). Strong skills in algorithm development and programming are essential, along with the ability to work effectively in multidisciplinary teams and communicate across domains.Expected Salary: $135,000Required Qualifications: A Ph.D. in biomedical informatics or a related discipline such as computer science or information science. A demonstrated track record of research and scholarly contributions in biomedical informatics. A clear commitment to pursuing a long-term academic career in the field.Preferred: Preference will be given to applicants with experience in multimodal learning, graph neural networks, and interpretable AI. We also welcome candidates with interests in emerging areas such as multi-agent learning and the development of foundation models for electronic health records (EHRs). Strong skills in algorithm development and programming are essential, along with the ability to work effectively in multidisciplinary teams and communicate across domains.Special Instructions to Applicants: In order to be considered, you must upload your cover letter and resume. Application must be submitted by 11:55 p.m. (ET) of the posting end date. This is a time limited position. The University of Florida is committed to providing equal employment opportunities for all qualified individuals. If you require an accommodation due to a disability to apply for this position, please contact the ADA Office at (352) 392-2477 or the Florida Relay System at (800) 955-8771 (TDD). For more information, visit the UF ADA Compliance website: https://ada.ufl.eduHealth Assessment Required: No Applications Close: To apply, visit https://explore.jobs.ufl.edu/en-us/job/537101Our Commitment:The University of Florida is an Equal Employment Opportunity Employer.Hiring is contingent on eligibility to work in the U.S. The University of Florida is a public institution and is subject to all requirements under Florida Sunshine and Public Record laws. If an accommodation due to a disability is needed to apply for this position, please call 352-392- 2477 or the Florida Relay System at 800-955-8771 (TDD) or visit Accessibility at UF.Copyright ©2025 Jobelephant.com Inc. All rights reserved.Posted by the FREE value-added recruitment advertising agency jeid-e4d0c6fb03e3334d87e11a81e26c0c27
Resume Suggestions
Highlight relevant experience and skills that match the job requirements to demonstrate your qualifications.
Quantify your achievements with specific metrics and results whenever possible to show impact.
Emphasize your proficiency in relevant technologies and tools mentioned in the job description.
Showcase your communication and collaboration skills through examples of successful projects and teamwork.