The Department of Medicine, Division of Nephrology is seeking a full-time Data Scientist III to assist in multiple ongoing and future biomedical microcopy artificial intelligence research projects.
Requirements
- Python expertise, at least medium level of understanding in ML pipeline development with open-sourced Python packages and libraries
- Experience with data integration and processing, analysis, and reporting
- Experience in digital pathology, computational pathology, imaging, and image analysis
- Strong experience with computer vision (CV) or natural language processing (NLP) using deep learning
- Experience with patient health data
- Experience managing large-scale databases and data repositories
Responsibilities
- performing data analyses, processing, and feature extraction, and developing data tools for accelerating research
- developing and validating a variety of machine learning/deep learning models with heterogenous cell and tissue imaging data
- maintaining a large cell and tissue microscopy image database (murine and human) as well as corresponding clinical biometrics data and healthcare outcome
- developing and maintaining end-user plugins for conducting detection, segmentation, and quantification of micro and macro anatomical structures in tissues, predictive modeling of diseases, as well as image and molecular omics data fusion
- maintaining a federated model to allow end-users to conduct computational analysis without data leaving their host servers
- developing and maintaining tools for visualizing multi-omics data
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
- Excellent written and verbal communication skills
- Ability to work independently and in a team
- Demonstrated ability to achieve high-performance goals and meet deadlines in a fast-paced environment
