Data Scientist - Lee Research Lab

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• Job Category:
  Academic Staff
• Employment Type:
  
  Regular
• Job Profile:
  Data Scientist I

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 breast cancer screening, treatment, and outcomes. This position will report directly to the Director.

The Wisconsin Imaging-based Screening and Cancer Research (WISCR) Network is a partnership between the University of Wisconsin-Madison and community radiology practices throughout Wisconsin to aggregate de-identified breast imaging data with the goal of improving population-based screening outcomes. WISCR provides a resource for big data research, including the use of artificial intelligence in screening, that will influence regional and national cancer screening policies and practices.

This position will provide data management and basic 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 multi-level data to research data dictionaries. The successful candidate will have or rapidly acquire an understanding of breast cancer screening data, be versed in SAS and SQL, and have a solid understanding of data informatics.

• Work location:
  
  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.
• Titles:
  Data Scientist I, Data Scientist II, or Data Scientist III. Applicants for this position will be considered for the titles listed in this posting. The title is determined by the experience and qualifications of the finalist.

• Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
• Documents approaches to address research questions
• Implements appropriate data science techniques under the guidance of other data scientists, statisticians, and/or other researchers to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
• Assists in basic project management tasks including IRB and DUA applications
• 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

School of Medicine and Public Health, Department of Radiology, Breast Imaging Research

• 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 enhance 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.

The starting salary for the position is $65,000 annually; 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 and the SMPH Academic Staff Benefits Flyer.

• Experience with managing large clinical datasets, including extracting and curating data from Epic or similar electronic medical records.
• Experience with imaging-related data management, including curation of large imaging datasets for research purposes.

• Proficiency in data management and statistical analysis applications including SQL and SAS.
• Experience with managing project IRB applications and data use agreements with external…