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Summer Undergrad Data Science Intern

University of Utah Health Research
PART_TIME Remote · US Salt Lake City, UT, US Posted: 2026-05-11 Until: 2026-07-10
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Job Description
Details Open Date 05/08/2026 Requisition Number PRN17056N Job Title Research Specialist Working Title Summer Undergrad Data Science Intern Career Progression Track F Track Level FLSA Code Nonexempt Patient Sensitive Job Code? No Type Non Benefited Staff / Student Temporary? Yes Standard Hours per Week 30 Full Time or Part Time? Part Time Shift Day Work Schedule Summary Monday through Friday 9:00am – 3:00pm This position may be eligible for hybrid work Is this a work study job? No VP Area U of U Health - Academics Department 00241 - Biomedical Informatics Location Other City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 35.00 Close Date 05/22/2026 Priority Review Date (Note - Posting may close at any time) Job Summary The Department of Biomedical Informatics at the University of Utah is seeking a motivated undergraduate intern for a summer position assisting with data science analyses for the Gene Kids Project, a research initiative focused on Whole Genome Sequencing to improve diagnosis and treatment of pediatric genetic disorders. More information can be found here: https://uofuhealth.utah.edu/newsroom/news/2024/08/new-collaboration-aims-provide-genetic-diagnoses-thousands-of-kids This is a temporary summer position that is anticipated to be active from mid-June to mid-August. Responsibilities Assist with data-analysis and modeling related to genomic datasets : This includes processing whole-genome sequencing data from pediatric patients and applying statistical or computational methods to identify variants associated with rare genetic disorders. Contribute to interpretation and reporting of results: This involves helping translate findings into clear biological insights and supporting the preparation of summaries, visualizations, and manuscript figures for research and clinical collaborators. Other duties as assigned Minimum Qualifications Preferences Preferred Qualifications Strong background in computer science, statistics, or a related field Proficiency in R and Python (required) Coursework in statistics, including multivariate regression and model selection Experience with tools, workflows, and file formats used in whole-genome analysis for Mendelian disease is highly desirable Current undergraduate student Special Instructions Summary Along with your resume and cover letter, please provide one reference that we may contact. Additional Information The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules. This position may require the successful completion of a criminal background check and/or drug screen. The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program