The University of Florida Diabetes Institute (UFDI) invites applications for a full-time, non-tenure-track Assistant Scientist to join an interdisciplinary research environment focused on advancing the prevention, prediction, and treatment of diabetes through artificial intelligence, computational biology, and precision medicine. The successful candidate will contribute to the development and application of innovative AI and machine learning approaches that accelerate discovery across basic, translational, and clinical diabetes research
Research efforts may support initiatives such as:
- AI-enabled discovery of novel diabetes therapies
- Precision medicine for Type 1 and Type 2 diabetes
- Human pancreas imaging and spatial biology
- Digital pathology and computational tissue analysis
- Clinical decision support using EHR data
- Translational validation using human biospecimens and experimental model system
- Artificial intelligence and machine learning for diabetes research, including Type 1 and Type 2 diabetes
- Computational pathology and digital pathology using whole slide imaging (WSI)
- Spatial biology, spatial transcriptomics, and multi-omics data integration
- Large language models (LLMs) and foundation models for biomedical research
- Electronic Health Record (EHR) analytics and clinical data integration
- Biomedical image analysis and quantitative microscopy
- High-performance computing (HPC) and scalable AI pipelines
- Development of reproducible software tools and computational workflows for biomedical research
Develop novel AI, machine learning, and deep learning methods to address complex biomedical questions in diabetes.
Design and implement computational tools for integrating imaging, genomic, transcriptomic, proteomic, metabolomic, and clinical datasets.
Develop scalable software applications and maintain research code using modern software engineering practices.
Apply AI methods to whole slide images, microscopy datasets, spatial transcriptomics, and EHR-derived clinical data.
Collaborate with multidisciplinary teams of clinicians, computational scientists, engineers, statisticians, and laboratory investigators.
Lead and participate in collaborative research projects spanning basic science, translational research, and clinical applications.
Prepare scientific manuscripts, conference presentations, and competitive grant applications.
Mentor graduate students, postdoctoral fellows, research staff, and trainees.
