Inside Higher Ed
Job No:
537069
Work Type:
Full Time
Location:
Main Campus (Gainesville, FL)
Categories:
Computer Science
Department:
29051308 - MD-MED QUANTITATIVE HEALTH
Classification Title Data Scientist III
Classification Minimum Requirements A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience;
Master's Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience;
Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field and one year of experience.
Job Description The Department of Medicine, Division of Nephrology Quantitative Health is seeking a full time Data Scientist III. This position supports a multi-institutional, NIH-funded research initiative within the Computational Microscopy Imaging Lab (CMIL) focused on integrating digital pathology, spatial omics, and clinical datasets into an AI-enabled modeling platform. The Data Scientist III - Imaging & Omics Lead is responsible for developing analytic workflows that extract features from histology images and spatial molecular assays. This includes leading data processing, quality control, and harmonization efforts for tissue and omics data streams, and ensuring their reproducible integration into research pipelines. The position reports to Dr. Pinaki Sarder, Principal Investigator.
Imaging and Omics Pipeline Development
Design and implement data pipelines for histopathology and spatial omics sources (e.g., spatial transcriptomics, CODEX).
Apply image processing, segmentation, and normalization techniques using Python-based libraries.
Ensure pipelines are reproducible and version-controlled to meet analytic standards.
Feature Extraction and Model Input Generation
Use deep learning and statistical approaches to extract meaningful features from tissue images and molecular assays.
Generate structured representations suitable for integration with AI/ML models.
Collaborate with model developers to align feature formats with input requirements.
Data Harmonization and Quality Assurance
Coordinate with institutional collaborators to harmonize data formats, metadata, and preprocessing standards.
Conduct QC reviews, troubleshoot data artifacts, and document all analytic transformations.
Ensure compatibility between imaging/omics data and other project modalities.
Documentation and Cross-Team Collaboration
Maintain technical documentation for workflows and codebases.
Participate in project meetings, share updates, and contribute to team deliverables.
Support communication of imaging and omics data workflows to non-technical collaborators.
Mentorship and Innovation Support
Provide informal guidance to student researchers or junior analysts.
Recommend new tools or analytic methods to improve pipeline performance.
Expected Salary $82,000 - $95,000 Annually
Required Qualifications A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience;
Master's Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience;
Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field and one year of experience.
Preferred
Experience with digital pathology or spatial omics data (e.g., Visium, CODEX, MIBI)
Proficiency in Python and image analysis libraries (e.g., OpenCV, scikit-image, MONAI)
Familiarity with ML/AI workflows and model input preparation
Experience working in collaborative, interdisciplinary research environments
Strong documentation and data provenance tracking skills
Additional technical certifications (e.g., AWS, Security+, etc.) may be encouraged but not required.
Special Instructions To Applicants In order to be considered, you must upload your resume.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
This requisition has been reposted. Previous applicants remain under consideration and do not need to reapply.
Health Assessment Required No
Applications Close 14 December 2025
To apply Visit https://explore.jobs.ufl.edu/en-us/job/537069
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.
#J-18808-Ljbffr
537069
Work Type:
Full Time
Location:
Main Campus (Gainesville, FL)
Categories:
Computer Science
Department:
29051308 - MD-MED QUANTITATIVE HEALTH
Classification Title Data Scientist III
Classification Minimum Requirements A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience;
Master's Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience;
Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field and one year of experience.
Job Description The Department of Medicine, Division of Nephrology Quantitative Health is seeking a full time Data Scientist III. This position supports a multi-institutional, NIH-funded research initiative within the Computational Microscopy Imaging Lab (CMIL) focused on integrating digital pathology, spatial omics, and clinical datasets into an AI-enabled modeling platform. The Data Scientist III - Imaging & Omics Lead is responsible for developing analytic workflows that extract features from histology images and spatial molecular assays. This includes leading data processing, quality control, and harmonization efforts for tissue and omics data streams, and ensuring their reproducible integration into research pipelines. The position reports to Dr. Pinaki Sarder, Principal Investigator.
Imaging and Omics Pipeline Development
Design and implement data pipelines for histopathology and spatial omics sources (e.g., spatial transcriptomics, CODEX).
Apply image processing, segmentation, and normalization techniques using Python-based libraries.
Ensure pipelines are reproducible and version-controlled to meet analytic standards.
Feature Extraction and Model Input Generation
Use deep learning and statistical approaches to extract meaningful features from tissue images and molecular assays.
Generate structured representations suitable for integration with AI/ML models.
Collaborate with model developers to align feature formats with input requirements.
Data Harmonization and Quality Assurance
Coordinate with institutional collaborators to harmonize data formats, metadata, and preprocessing standards.
Conduct QC reviews, troubleshoot data artifacts, and document all analytic transformations.
Ensure compatibility between imaging/omics data and other project modalities.
Documentation and Cross-Team Collaboration
Maintain technical documentation for workflows and codebases.
Participate in project meetings, share updates, and contribute to team deliverables.
Support communication of imaging and omics data workflows to non-technical collaborators.
Mentorship and Innovation Support
Provide informal guidance to student researchers or junior analysts.
Recommend new tools or analytic methods to improve pipeline performance.
Expected Salary $82,000 - $95,000 Annually
Required Qualifications A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience;
Master's Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience;
Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field and one year of experience.
Preferred
Experience with digital pathology or spatial omics data (e.g., Visium, CODEX, MIBI)
Proficiency in Python and image analysis libraries (e.g., OpenCV, scikit-image, MONAI)
Familiarity with ML/AI workflows and model input preparation
Experience working in collaborative, interdisciplinary research environments
Strong documentation and data provenance tracking skills
Additional technical certifications (e.g., AWS, Security+, etc.) may be encouraged but not required.
Special Instructions To Applicants In order to be considered, you must upload your resume.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
This requisition has been reposted. Previous applicants remain under consideration and do not need to reapply.
Health Assessment Required No
Applications Close 14 December 2025
To apply Visit https://explore.jobs.ufl.edu/en-us/job/537069
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.
#J-18808-Ljbffr