The Department of Medicine, Division of Nephrology Quantitative Health is seeking a Data Scientist III to support a multi-institutional, NIH-funded research initiative focused on integrating digital pathology, spatial omics, and clinical datasets into an AI-enabled modeling platform.
Requirements
- Proficiency in Python and image analysis libraries (e.g., OpenCV, scikit-image, MONAI)
- Familiarity with ML/AI workflows and model input preparation
- Experience with digital pathology or spatial omics data (e.g., Visium, CODEX, MIBI)
- Strong documentation and data provenance tracking skills
Responsibilities
- 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.
- 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.
- Coordinate with institutional collaborators to harmonize data formats, metadata, and preprocessing standards.
- Conduct QC reviews, troubleshoot data artifacts, and document all analytic transformations.
Other
- 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.
- Experience working in collaborative, interdisciplinary research environments
- 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.
