RISE Data Scientist

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.

It is anticipated that this position will be remote and requires work be performed at an offsite, 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: https://rise.wisc.edu/.

• 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 and represents the interests of data science

• Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources

• Organizes and automates project steps for data preparation and analysis

• Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows

• Participates in interdisciplinary and collaborative efforts with other departments, schools and colleges

School of Medicine and Public Health, Office of Informatics and Information Technology, RISE.

This position is within the School of Medicine and Public Health's Office of Informatics and Information Technology (IIT). IIT is a multidisciplinary team of data scientists, engineers, developers, and IT support staff. We offer a variety of Informatics and IT services to departments and research staff within the School of Medicine and Public Health and beyond to support the conduct of high-quality clinical and translational research.

• Informatics: We provide innovative solutions and training for a broad spectrum of clinical and translational research utilizing real-world data to facilitate rapid translation of research findings into clinical practice, with an emphasis on precision medicine, healthcare delivery, and population health.

• Technology Solutions: We provide technology solutions to the School of Medicine and Public Health including cybersecurity, educational technology, and IT support.

The starting salary for the position is $95,000; but is negotiable based on experience and qualifications.

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage. SMPH Faculty /Academic Staff Benefits Flyer 2026

• Proven experience with REDCap, including project design, data management, and user support.
• Strong technical skills and familiarity with database management and data collection tools.
• Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical users.
• Strong problem-solving and analytical abilities.
• Ability to work independently and as part of a collaborative team.

• Experience in a research or academic environment.
• Knowledge of regulatory requirements and standards related to research data (e.g., HIPAA, GDPR).
• Familiarity with other data management and analysis tools (e.g., SQL, R, Python).

PhD preferred; focus in Biomedical Sciences, Data Science, Epidemiology, Informatics, Information Technology, or a related field preferred

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To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials.

Important: The application has only one attachment field. Upload all required documents in that field, either as a single combined file or as multiple files in the same upload area.

Upload required documents:
* Cover letter
* Resume

Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected

University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work.

Cody Roekle, croekle@wisc.edu, 608-263-7676

Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

The University of Wisconsin-Madison is an Equal Opportunity Employer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.

The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).

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