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Employment Type: Regular
Job Profile: Data Scientist III
Job Summary: The Center for High Value Imaging (CHVI) within the Department of Radiology is seeking a Data Scientist who will help lead data management for the research program. This Data Scientist will work within a core group of researchers and staff to manage the collection and curation of high-quality clinical data to inform and improve radiology research and outcomes. This position will report directly to the Director of the Sr. Analytics Consultant.
This position will provide data management and data analysis to support research operations, scientific grants, and publications. The Data Scientist is expected to develop a deep understanding of the data compiled in the registry and be responsible for mapping of multi-level data to research data dictionaries. The successful candidate will have or rapidly acquire an understanding of radiology data, be versed in Python and SQL, and have a solid understanding of data informatics.
Additional Information:
- This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location
- Applicants for this position will be considered for the following titles: Data Scientist II or Data Scientist III. The title is determined by the experience and qualifications of the finalist.
Key Job Responsibilities: - May supervise the data-to-day activities of staff and resolves routine personnel issues
- 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
- Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
- 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
- Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
- Organizes and automates project steps for data preparation and analysis
Department: School of Medicine and Public Health, Department of Radiology, Center for High Value Imaging (CHVI)
Join UW Radiology and UW Health-A Legacy of InnovationThe University of Wisconsin Department of Radiology, in partnership with
UW Health, has been at the forefront of clinical care, imaging research, and education for nearly a century. Since its inception on May 18, 1927-when Dr. Ernst Pohle was appointed as the first professor of Radiology-the department has grown to more than 160 faculty members across 14 specialized sections, serving as a key pillar of UW Health's world-class medical enterprise.
What Sets Us Apart - Collaborative Excellence: Strong partnerships with UW Health, Medical Physics, and leading equipment vendors drive continuous advancements in imaging.
- Cutting-Edge Technology: We utilize state-of-the-art imaging in CT, MR, PET/CT, PET/MR, angiography, ultrasound, PACS, and AI-driven medical imaging.
- Robust Research Infrastructure: Dedicated support for grant writing, media specialists, research nurses, technologists, and data managers enhances investigative success.
- Premier Imaging Facilities: The WIMR Imaging Sciences Center offers 60,000 square feet of advanced imaging space, including MRI, PET/MRI, PET/CT, CT, ultrasound, angiography, cyclotron, radiopharmaceutical production and comprehensive small animal imaging technologies.
Together,
UW Radiology and UW Health are committed to advancing human health through groundbreaking clinical care, pioneering research, and excellence in education. We foster a respectful, adaptive, and accountable environment-one that prioritizes innovation while serving the needs of all patients, including underserved populations.
Visit our official website to learn more about our work and opportunities.
Compensation: - The starting salary for the Data Scientist II position is $90,000; but is negotiable based on experience and qualifications.
- The starting salary for the Data Scientist III position is $110,000; 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 or SMPH Academic Staff Benefits Flyer 2026
Required Qualifications: - At least 2 years of professional experience with managing large clinical datasets, including extracting and curating data from Epic or similar electronic medical records.
Preferred Qualifications: - Proficiency in data management, radiology data, and statistical analysis applications including Python and SQL.
- Strong familiarity with Epic, particularly Epic Clarity, Caboodle and/or Epic-derived clinical data.
- Epic certification(s)
Education: - Master's Degree preferred; focus in biomedical informatics, data management, or related field preferred.
How to Apply: For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.
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 the following documents in that field, either as a single combined file or as multiple files in the same upload area
. Failure to submit the required documents will result in no longer being considered for the position.
Cover letter required
Resume required
Your cover letter should address how your training and experience aligns 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.
The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees.
Contact Information: Jen Cole
, ,
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
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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 OpportunityEmployer.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 backgroundsand 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.
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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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