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Assistant Scientist Nephrology Quantitative Health


Job Location:

Gainesville, FL - USA

Monthly Salary: Not provided by the employer
Posted: 13 June 2026 (30+ days ago)
Application Deadline: 10 September 2026
Vacancies: 1 Vacancy

Job Summary

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 23 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. largeimage 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 understanding complex renal pathologies.

Research Focus Areas

  • 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

About the University of Florida

The University of Florida a member of the Association of American Universities (AAU) is the largest and most comprehensive public university in the State of Florida with large undergraduate graduate and postgraduate educational programs. The UF Health Science Center and its six colleges are co-located on the Gainesville campus with additional teaching research and patient care sites in Jacksonville Orlando and other sites across Florida and internationally. Resources available for professional development include leadership education and research tracks within a Clinical and Translational Science Institute (CTSI) formal mentorship programs and supported opportunities for teaching and research.

Expected Salary:

Salary is negotiable and commensurate with education and experience.

Minimum Requirements:

Applicants must hold a PhD in computer science electrical engineering biomedical engineering or a closely related field and have completed at least 23 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. largeimage 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
Preferred Qualification:
  • Prior research experience in kidney disease with specific expertise in diabetic kidney disease highly preferred
  • Experience with spatial transcriptomics and multi-omics data integration
  • Familiarity with microscopy imaging modalities relevant to renal pathology
  • Track record of 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 with a collaborative research approach
Special Instructions to Applicants:

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

Application must be submitted by 11:55 p.m. (ET) of the posting end date.

Health Assessment Required:No


Required Experience:

Junior IC


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A top five public land-grant research university, the University of Florida creates a collaborative environment and accelerates future solutions.

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