Data Scientist -Wisconsin Reading Center

UW School of Medicine and Public Health is seeking a Data Scientist to support the Wisconsin Reading Center and A-EYE unit. The role focuses on analyzing large health-science and ophthalmology datasets, developing predictive models, creating reproducible workflows, and applying machine learning and AI to research and operational decision-making.

What you'll do:

• Data Analysis & Reporting: Develop reproducible workflows, analyses, dashboards, and reports to support research and operational decision-making
• Research Documentation & Methodology: Document analytical methods and maintain reproducible research workflows and standards
• Advanced Analytics & AI Solutions: Apply statistical analysis, machine learning, AI, and data mining techniques to identify patterns, answer research questions, and solve operational problems
• Process Automation: Design and implement automated data preparation, analysis, and reporting processes to improve efficiency and scalability
• Data Management & Quality: Prepare, clean, validate, transform, and integrate datasets for research, grading, and AI applications while ensuring data quality and integrity
• Other duties: Participate in national and international meetings for the dissemination of research. Assist faculty with the education and mentoring of research students
• Documents approaches to address research questions
• Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
• Assist the principal investigator in the hiring, training, and supervision of students and staff
• Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
• Organizes and automates project steps for data preparation and analysis
• Assist the principal investigator in the hiring, training, and supervision of students and staff

What they're looking for:

• One year of statistics or machine learning in professional and/or staff setting
• Experience working with Flywheel
• Proficiency with Python, Linux, and general programming, especially in statistics and machine learning
• Bachelor's Degree in Machine Learning, Statistics, Data Science, or Applied Mathematics or other closely related field is required
• One year of machine learning operation with experience in docker deployment
• Experience testing, debugging, and validating databases or pipelines
• Healthcare-related experience
• Clinical or pharmaceutical trial experience

Benefits:

• Flexible work schedules
• Comprehensive benefits
• Professional development
• Remote work arrangement
• Generous vacation, holidays, and sick leave
• Competitive insurances and savings accounts
• Retirement benefits