Assistant Scientist - Nephrology - Quantitative Health

Assistant Scientist
- Nephrology
- Quantitative Health

Job No: 540195

Work Type: Full Time

Location: Main Campus (Gainesville, FL)

Categories: Medicine/Physicians

Department:  - MD-MED QUANTITATIVE HEALTH

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 candidate will conduct 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 role offers a collaborative, team‑based environment, allowing the candidate to advance AI‑driven solutions for complex renal pathologies.

• Computational pathology and digital pathology, with application to kidney disease and diabetic kidney disease
• Deep learning and AI model development for histological and microscopy image analysis
• Whole slide image (WSI) analysis and quantitative microscopy
• Spatial transcriptomics and multi‑omics data integration
• High‑performance computing and scalable biomedical data analysis pipelines

• PhD in computer science, electrical engineering, biomedical engineering, or a closely related field, and at least 2–3 years of postdoctoral research experience.
• Strong record of research productivity and scholarly achievement, evidenced by peer‑reviewed publications.
• Demonstrated expertise in deep learning and AI frameworks (e.g., PyTorch, Tensor Flow) and large‑scale image analysis libraries (e.g.,  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/Git Hub).
• Experience with high‑performance computing (HPC) environments and large‑scale data processing.

• Prior research experience in kidney disease, particularly diabetic kidney disease.
• Experience with spatial transcriptomics and multi‑omics data integration.
• Familiarity with microscopy imaging modalities relevant to renal pathology.
• Track record or demonstrated potential for independent grant writing and funding acquisition.
• Experience mentoring junior researchers, graduate students, or undergraduate trainees.
• Strong written and verbal communication skills and a collaborative research approach.

25 June 2026

Expected salary is negotiable and commensurate with education and experience.

The University of Florida is an Equal Employment Opportunity Employer.

Interested candidates are encouraged to submit a current curriculum vitae via the University of Florida application system. The ideal candidate will be highly motivated, scientifically rigorous, and enthusiastic about working in an interdisciplinary and collaborative team environment.

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