Research Specialist

The Department of Radiology is seeking a highly motivated Research Specialist to join our NIH-funded research program focused on the development and application of artificial intelligence (AI) methods for kidney imaging. This role offers a unique opportunity to contribute to cutting-edge research in Radiology. The individual will be responsible for data management, algorithm development, and collaborative research tasks that advance the project's scientific aims.

Key Responsibilities:

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  Data Management: Curate, organize, and maintain large imaging datasets.
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  AI Model Development: Develop, implement, and optimize machine learning and deep learning models for image analysis.
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  Image Processing: Perform image preprocessing, segmentation, feature extraction, and quantitative analysis.
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  Code & Workflow Documentation: Document and maintain reproducible code, pipelines, and workflows.
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  Statistical Analysis: Conduct statistical analyses and assist with interpretation of model outputs.
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  Regulatory Compliance: Contribute to maintaining compliance with data security and regulatory requirements.
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  Communication & Visualization: Collaborate closely with radiologists, imaging scientists, and clinical investigators to integrate domain knowledge into AI approaches. Prepare data visualizations, figures, and technical summaries for manuscripts, presentations, and progress reports.

Additonal Information:

• The work schedule is flexible and will be determined at the time of hire.
• This position is grant-funded for up to 4 years, with potential for extension or early completion based on research needs and funding availability.
• This position requires work to be completed onsite, at a designated campus work location.
• Successful Candidates will address the following knowledge, skills and abilities in their cover letter: experience with programming platforms, medical imaging data, image processing tools, machine learning, deep learning, and statistical modeling.

• Participates in the development, interpretation, and implementation of research methodology and materials

• Conducts research experiments according to established research protocols with moderate impact to the project(s). Collects data and monitors test results

• Performs literature reviews and writes reports

• Reviews, analyzes, and interprets data and/or documents results for presentations and/or reporting to internal and external audiences

• Provides operational guidance on day-to-day activities of unit or program staff and/or student workers

• Operates, cleans, and maintains organization of research equipment and research area. Tracks inventory levels and places replenishment orders

School of Medicine and Public Health, Department of Radiology

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

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  Collaborative Excellence: Strong partnerships with UW Health, Medical Physics, and leading equipment vendors drive continuous advancements in imaging.
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  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.
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  Robust Research Infrastructure: Dedicated support for grant writing, media specialists, research nurses, technologists, and data managers enhances investigative success.
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  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 website (radiology.wisc.edu) to learn more about our work and opportunities.

The starting salary for the position is $54,050.

• Strong programming skills (e.g., Python, PyTorch, TensorFlow).

• Experience with medical imaging data (DICOM) and image processing tools.

• Familiarity with machine learning, deep learning, and statistical modeling.

• Ability to work independently and collaboratively in a multidisciplinary research environment.

• Strong organizational and time management skills.

Candidates with a Masters Degree will be given first consideration.

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. Please upload a current resume/CV and your cover letter. In your cover letter briefly describe the following:

• Experience with programming platforms (e.g., Python, PyTorch, TensorFlow)

• Experience with medical imaging data (DICOM) and image processing tools.

• Familiarity with machine learning, deep learning, and statistical modeling.

• Excellent organizational skills and ability to work in a collaborative research environment.

Please note, there is only one attachment field available. All required documents must be uploaded within this single field. You may either combine your documents into one file or the field will allow you to upload multiple individual documents.

No need to upload references at this time. You will also be asked to provide contact information for three (3) references, including your current/most recent supervisor during the interview process if you are selected as a finalist. References will not be contacted without prior notice.

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 chose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees.

Jen Cole, jen.cole@wisc.edu, 608-890-3371

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

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

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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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