RISE Data Scientist

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.

Job Category: Academic Staff

Employment Type: Regular

Job Profile: Data Scientist III

Are you passionate about improving patient health outcomes, optimizing healthcare processes, and advancing science? Join our dynamic Informatics and Information Technology team at the University of Wisconsin School of Medicine and Public Health in Madison, Wisconsin. We are committed to revolutionizing healthcare through implementation of advanced data science approaches, conducting cutting‑edge data‑centric research, and generating real‑world evidence to improve patient health outcomes at UW Health and beyond.

We are seeking an experienced informatician/Data Scientist to be our Patient Reported Outcomes Data Scientist. On a day‑to‑day basis, the incumbent could expect to engage in the following activities:

• Work with stakeholders to develop and modernize patient reported outcomes collection, storage, and utilization
• Integrate research workflows into the collection of patient reported outcomes for clinical purposes.
• When appropriate, coordinate with the technical teams to ensure data feeds from Epic to REDCap and vice‑versa.
• Assist users in designing, developing, and managing REDCap projects related to patient reported outcomes, including data collection instruments, surveys, and databases.
• Coordinate with technical teams to troubleshoot and resolve technical issues related to patient reported outcomes data usage and functionality.
• Develop and maintain comprehensive documentation, user guides, and training materials the use of patient reported outcomes data.
• Conduct workshops, webinars, and one‑on‑one training sessions to enhance user proficiency with patient reported outcomes data.
• Collaborate with infrastructure and data teams to ensure the patient reported outcomes data storage is up‑to‑date and operating efficiently.
• Monitor and evaluate user feedback to identify areas for improvement and implement enhancements to the patient reported outcomes support services.
• Stay current with the latest developments and best practices in data management.

This position will be remote and requires work to be performed at an off‑site, non‑campus work location.

This position is part of the Wisconsin Research, Innovation and Scholarly Excellence (RISE) Initiative. Through accelerated and strategic faculty hiring, research infrastructure enhancement, interdisciplinary collaboration, and increased student and educational opportunities, RISE addresses complex societal challenges of importance to the state, nation and world. Building on UW–Madison’s strengths, RISE expands the University’s successful track record of connecting with communities and industry on collaborative solutions.

Over the next three academic years, UW–Madison will substantially increase current hiring levels, bringing 150 new RISE faculty to campus. Candidates hired through RISE will join a community of scholars working across disciplines, schools and colleges on research, teaching and outreach endeavors. The community will engage regularly in venues such as seminar series and colloquia to share ongoing projects and identify opportunities to work together.

The University will support the community, facilitating access to research infrastructure, and funding to support broad and rich collaboration.

Further information regarding RISE can be found at: (Use the "Apply for this Job" box below)..

• Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
• Contributes to the informatics and IT education and training initiatives
• Identifies and implements or guides others in implementing appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
• Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding data science best practices and methodologies…