Location: Gainesville, FL
Cap-Exempt H-1B Position — No lottery required
**JOB NO:** 540195 **WORK TYPE:** Non-Tenure-Track Faculty **LOCATION:** Main Campus (Gainesville, FL) **CATEGORIES:** Medicine/Physicians **DEPARTMENT:** 29051308 - MD-MED QUANTITATIVE HEALTH **CLASSIFICATION TITLE:** AST SCTST **CLASSIFICATION MINIMUM REQUIREMENTS:** Applicants must hold a PhD in computer science, electrical engineering, biomedical engineering, or a closely related field, and have completed at least 2–3 years of postdoctoral research experience. Candidates must also demonstrate a strong record of research productivity and scholarly achievement, as evidenced by peer-reviewed publications. Additionally, candidates must have: - Demonstrated expertise in deep learning and AI frameworks (e.g., PyTorch, TensorFlow) and large-scale image analysis libraries (e.g., large\\_image by kitware) - Hands-on experience with whole slide image analysis and computational pathology workflows - Proficiency in Python and scientific computing libraries - Experience with version control systems (e.g., Git/GitHub) - Experience with high-performance computing (HPC) environments and large-scale data processing **JOB DESCRIPTION:** The Department of Medicine at the University of Florida invites applications for a full-time, non-tenure-track faculty position at the Assistant Scientist level. The successful candidate will join the Computational Microscopy Imaging Laboratory (CMIL), directed by Dr. Pinaki Sarder, a research group at the forefront of computational pathology, artificial intelligence, and microscopy image analysis applied to biomedical discovery. The successful candidate will contribute to cutting-edge research at the intersection of deep learning, digital pathology, and multi-omics data integration, with a strong emphasis on kidney disease, particularly, diabetic kidney disease. The position offers an exceptional opportunity to work in a highly collaborative, team-based research environment and to play a meaningful role in advancing AI-driven solutions for unders