Scientist I - Lee Lab

The Department of Radiology is seeking a Scientist I who will be a core team member of the Wisconsin Imaging-based Screening and Cancer Research (WISCR) program. The Wisconsin Imaging-based Screening and Cancer Research (WISCR) Network is a partnership between the University of Wisconsin-Madison and community 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 team member will work within a core group of researchers and staff to execute multi-modality data science projects with the ultimate goal of improving breast cancer screening, treatment, and outcomes regionally and nationally. This position will report directly to the Director.

The successful candidate will have or rapidly acquire an understanding of breast cancer screening data, data management and analysis using SQL and SAS/STATA, and a solid understanding of population-based big data analyses. The Scientist I team member is expected to develop a deep understanding of the data compiled in the breast cancer screening registry and act as subject matter expert for collaborating researchers.

ADDITIONAL JOB DETAILS

• 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.

• Attends and assists with the facilitation of scholarly events and presentations in support of continued professional development and the dissemination of research information

• Collects and analyzes research data, conducts experiments and interviews, and documents results according to established policies and procedures under general supervision and limited responsibility

• Writes or assists in developing grant applications and proposals to secure research funding

• Conducts literature reviews, prepares reports and materials, and disseminates information to appropriate entities

• Serves as a main point of contact and liaison with internal and external stakeholders providing information and representing the interests of a specialized research area

• Assists with the identification of research problems and the development of research methodologies and procedures

School of Medicine and Public Health, Department of Radiology, Breast Imaging - Dr. Christoph Lee Lab.

Join UW Radiology and UW Health-A Legacy of Innovation

The 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 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 $75,000; 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 and the SMPH Academic Staff Benefits Flyer

• 3 years of experience using breast imaging data, specifically mammography and associated clinical metadata, for testing and validation of machine and deep learning algorithms/applications

• Background in big data analytics and breast cancer screening outcomes/health services research

• Knowledge of and experience with cloud-based computing infrastructures for artificial intelligence algorithm inference on medical images

• Background in statistical analysis, with basic skills in SAS

• Experience with medical data management, including basic knowledge of SQL

PhD in data science, computer science, biomedical informatics or a related field, is required by start date.

To apply for this position, please click on the "I am a current employee" button or "I am not a current employee" button under Apply Now. You will be prompted to upload the following documents.

• Cover Letter

• Resume

Please note, there is only one attachment field. You must upload all of your documents in the attachment field.

Applicants are to submit a cover letter and resume detailing their training and experience relating to the required and preferred qualifications referenced above. The application reviewers will be relying on written application materials to determine which qualified applicants will advance in the recruitment process. We will notify selected applicants to participate further in the selection process directly. References will be requested of final candidates. All applicants will be notified after the search is complete and a candidate has been selected.

Amanda Joncas, ajoncas@wisc.edu

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.

For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion

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, click here.

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