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Job Summary:

The Department of Radiology University of Wisconsin - Madison School of Medicine & Public Health is seeking a Radiology Informatics Data Scientist who will work under the direction of Dr. Pallavi Tiwari and will work closely with other staff medical school groups UW Health and the Radiology Informatics team. The research conducted by Tiwari lab utilizes medical imaging and clinical data to build and optimize AI and machine learning models that identify computerized image-based phenotypes and their associations with genomics and histo-pathology for disease characterization with the aim of developing personalized diagnostic tools towards improved early diagnosis prognosis and response to treatment for neurological conditions and other diseases.

The Radiology Informatics Data Scientist will be responsible for data cleaning and management the development and maintenance of clinical research databases helping develop and deploy novel imaging tools and disseminating new knowledge through abstracts posters presentations and manuscripts. They will also be involved in project monitoring and evaluation data analysis oversight of trainees and dissemination of program results and will work closely with the PI lab manager and Department of Radiologys Informatics Analysts.

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.

• Multiple 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.

• Candidates who demonstrate the following knowledge skills and abilities will be given first consideration; Professional and effective oral and written communications skills and able to clearly relay information to faculty PIs and other researchers and prepare reports as needed; Effective data management and organizational skills ability to train work with and elicit cooperation from team members with regards to data stewardship; Ability to problem-solve effectively with ability to develop and implement alternative solutions as needed; Ability to learn and apply new ideas techniques processes policies functions etc.; Highly motivated and a self-starter.

Key Job Responsibilities:

• Identifies writes or assists in developing grant opportunities grant applications and proposals to secure research funding

• Organizes and automates project steps for data preparation and analysis

• Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators

• Prepares data sets for analysis including cleaning/quality assurance transformations restructuring and integration of multiple data sources

• 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

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

Department:

School of Medicine and Public Health Department of Radiology Tiwari Research 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 Radiology the 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.

Compensation:

The starting salary for the position is $65000 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

Required Qualifications:

• Experience working with medical imaging and/or electronic health record data as well as understanding compliance requirements.

• Experience in developing machine learning and/or deep learning models for medical imaging genetic and/or biological data.

• At least 3 years of experience with programming languages (C Python Matlab) including libraries like NumPy SciPy and scikit-learn.

• Proficiency in Linux environment including common commands and shell scripting.

• Familiarity with medical imaging data and standards such as DICOM and HL7 as well as ensuring compliance.

Preferred Qualifications:

• Proficiency in database languages (SQL NoSQL databases like MongoDB graph databases).

• Familiarity with data management and lifecycle platforms such as Flywheel XNAT or data versioning tools like DVC.

• Previous grant writing experience; manuscript writing; program management and/or development experience.

• Experience contributing to clinical research projects including IRB protocols and clinical trials.

• Knowledge of statistical analysis and data visualization tools (R SAS Matplotlib Seaborn Plotly).

Education:

Bachelors Degree Required; focus in Physics Biomedical Statistics Computer Science or related field by application date.

Terminal Degree Preferred; PhD in Medical Imaging Physics Biomedical Statistics Computer Science or related field by application date.

How to Apply:

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Your cover letter should address how your training and experience align 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 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 position is an ongoing position that will require continuous work 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:

Amanda Joncas

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

Institutional Statement on Diversity:

Diversity is a source of strength creativity and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity culture background experience status abilities and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching research outreach and diversity as inextricably linked goals.

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.

To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g. application interview pre-employment testing etc.) please contact the Divisional Disability Representative (DDR)in the division you are applying make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct including sexual violence and sexual harassment.

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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