UW School of Medicine and Public Health
Research Data Scientist
UW School of Medicine and Public Health, Madison, Wisconsin, us, 53774
Join to apply for the
Research Data Scientist
role at
UW School of Medicine and Public Health
Job Category:
Academic Staff Employment Type:
Regular Job Profile:
Data Scientist III
Job Summary We are committed to revolutionizing healthcare through advanced data science. As a Research Data Scientist, you will use clinical and imaging data to develop and implement computational algorithms, support groundbreaking research, and generate real‑world evidence to improve patient outcomes.
Key Responsibilities
Develop and implement informatics pipelines for clinical or imaging data processing, integration, and visualization.
Analyze imaging datasets using advanced computational and bioinformatics methods.
Apply, develop, and validate statistical, machine learning, or deep learning techniques to identify patterns and insights from complex clinical and biological data.
Build predictive models to forecast disease risk and progression, health outcomes, and treatment effectiveness; communicate findings to the research community.
Work closely with data governance and security to ensure compliance with privacy regulations (e.g., NIST, HIPAA) and address bias and fairness issues in AI models.
Keep abreast of emerging AI research trends and propose innovative solutions to healthcare challenges.
Compose reproducible workflows and reports to articulate patterns for researchers and administrators.
Organize and automate project steps for data preparation and analysis.
Serve as a subject matter expert and liaison to stakeholders regarding data science best practices.
Develop and optimize advanced computational algorithms using AI, ML, regression, and rule‑based models.
Department School of Medicine and Public Health, Office of Informatics and Information Technology, Data Science to Promote Precision Medicine.
Compensation and Benefits Starting salary: $90,000 (negotiable). Benefits include generous vacation, holidays, sick leave, competitive insurance plans, retirement benefits, and access to the university’s comprehensive benefits portal.
Required Qualifications
At least 5 years of image analysis experience.
Experience with vision models such as DenseNet, ResNet, EfficientNet, ConvNext, ViT, or related architectures, preferably on ophthalmology images.
Proficiency in Python and deep learning frameworks (PyTorch/PyTorch Lightning or TensorFlow/Keras).
Experience with medical imaging libraries (MONAI, OpenCV, Pillow).
Knowledge of statistical analysis and machine learning techniques.
Strong problem‑solving skills and attention to detail.
Excellent communication skills and ability to work collaboratively.
Preferred Qualifications
Experience working in an academic institution.
Experience analyzing ophthalmology images.
Familiarity with R for statistical analysis and SQL for data querying.
Experience with NLP techniques applied to electronic health records (clinical notes, reports, unstructured text).
Education Terminal degree preferred (MD or PhD) in Computer Science, Data Science, Clinical Informatics, Bioinformatics, Epidemiology, Biostatistics, Ophthalmology, or related disciplines.
How to Apply Submit a cover letter and resume in a single attachment field. Include all requested documents in that field. Current employees should log in via Workday; others can apply through the external application.
Contact Information Cody Roekle,
croekle@wisc.edu
(608-263-7676)
Institutional Statement on Diversity UW‑Madison is an equal‑opportunity employer. We value diversity and are committed to building an inclusive community. Qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, or veteran status.
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Research Data Scientist
role at
UW School of Medicine and Public Health
Job Category:
Academic Staff Employment Type:
Regular Job Profile:
Data Scientist III
Job Summary We are committed to revolutionizing healthcare through advanced data science. As a Research Data Scientist, you will use clinical and imaging data to develop and implement computational algorithms, support groundbreaking research, and generate real‑world evidence to improve patient outcomes.
Key Responsibilities
Develop and implement informatics pipelines for clinical or imaging data processing, integration, and visualization.
Analyze imaging datasets using advanced computational and bioinformatics methods.
Apply, develop, and validate statistical, machine learning, or deep learning techniques to identify patterns and insights from complex clinical and biological data.
Build predictive models to forecast disease risk and progression, health outcomes, and treatment effectiveness; communicate findings to the research community.
Work closely with data governance and security to ensure compliance with privacy regulations (e.g., NIST, HIPAA) and address bias and fairness issues in AI models.
Keep abreast of emerging AI research trends and propose innovative solutions to healthcare challenges.
Compose reproducible workflows and reports to articulate patterns for researchers and administrators.
Organize and automate project steps for data preparation and analysis.
Serve as a subject matter expert and liaison to stakeholders regarding data science best practices.
Develop and optimize advanced computational algorithms using AI, ML, regression, and rule‑based models.
Department School of Medicine and Public Health, Office of Informatics and Information Technology, Data Science to Promote Precision Medicine.
Compensation and Benefits Starting salary: $90,000 (negotiable). Benefits include generous vacation, holidays, sick leave, competitive insurance plans, retirement benefits, and access to the university’s comprehensive benefits portal.
Required Qualifications
At least 5 years of image analysis experience.
Experience with vision models such as DenseNet, ResNet, EfficientNet, ConvNext, ViT, or related architectures, preferably on ophthalmology images.
Proficiency in Python and deep learning frameworks (PyTorch/PyTorch Lightning or TensorFlow/Keras).
Experience with medical imaging libraries (MONAI, OpenCV, Pillow).
Knowledge of statistical analysis and machine learning techniques.
Strong problem‑solving skills and attention to detail.
Excellent communication skills and ability to work collaboratively.
Preferred Qualifications
Experience working in an academic institution.
Experience analyzing ophthalmology images.
Familiarity with R for statistical analysis and SQL for data querying.
Experience with NLP techniques applied to electronic health records (clinical notes, reports, unstructured text).
Education Terminal degree preferred (MD or PhD) in Computer Science, Data Science, Clinical Informatics, Bioinformatics, Epidemiology, Biostatistics, Ophthalmology, or related disciplines.
How to Apply Submit a cover letter and resume in a single attachment field. Include all requested documents in that field. Current employees should log in via Workday; others can apply through the external application.
Contact Information Cody Roekle,
croekle@wisc.edu
(608-263-7676)
Institutional Statement on Diversity UW‑Madison is an equal‑opportunity employer. We value diversity and are committed to building an inclusive community. Qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, or veteran status.
#J-18808-Ljbffr