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You will be updated with latest job alerts via emailThe 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.
School of Medicine and Public Health Department of Radiology Breast Imaging - Dr. Christoph Lee Lab.
Join UW Radiology and UW HealthA 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 1927when Dr. Ernst Pohle was appointed as the first professor of Radiologythe department has grown to more than 160 faculty members across 14 specialized sections serving as a key pillar of UW Healths 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 60000 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 environmentone 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 $75000; 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.
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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.
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Full Time