Overview Please submit your resume or CV , including relevant coursework, work experience, and technical skills. A link to your GitHub repository or portfolio of technical work and writing (peer-reviewed papers or other technical/scientific articles, blogs, etc.) is strongly preferred. Applications will be reviewed on a rolling basis. Announcement Details Open Date: 03/26/2026 Requisition Number: PRN44571B Job Title: Graduate Research Assistant (RA) Working Title: Graduate Research Assistant (RA) Career Progression Track: A00 FLSA Code: Professional Patient Sensitive Job Code? No Standard Hours per Week: 20 Full Time or Part Time? Part Time Shift: Day Work Schedule Summary: Hybrid; the candidate must be available to work on-site or attend meetings in person during part of their scheduled hours. VP Area: U of U Health - Academics Department: 00952 - Division of Epidemiology Location: Campus, Salt Lake City, UT Type of Recruitment: External Posting Pay Rate Range: Close Date: 06/26/2026 Priority Review Date: 03/26/2026 Job Summary The Division of Epidemiology in the Department of Internal Medicine is seeking a Graduate Research Assistant to support applied research at the intersection of healthcare, artificial intelligence, and data analysis. The primary focus of this role will be large language model (LLMs) and other machine learning model evaluation/deployment, clinical data pipeline development, and natural language processing (NLP)-based chart abstraction. The work will be performed using publicly available data, such as MIMIC-IV, and protected data from the University of Utah Health and the Veterans Health Administration within the UofU CHPC and VA VINCI secure computing environments. This position offers meaningful opportunities to engage in translational research that directly impacts patient care and health system operations. Responsibilities Develop, maintain, and optimize data processing pipelines for clinical and research datasets using Python and SQL. Assist with the design, training, and evaluation of machine learning models applied to healthcare problems. Support research workflows within established Linux-based environments under technical supervision. Conduct exploratory data analysis and prepare visualizations and summary reports for research collaborators. Contribute to manuscript preparation, documentation, and reproducible research practices. Collaborate with clinical and research faculty, staff, and other trainees. Work within secure, access-controlled computing environments (e.g., VA VINCI, CHPC) following data governance and compliance requirements. Qualifications Currently enrolled master’s student in computing, informatics, data science, biomedical informatics, or a closely related discipline. Intermediate to advanced proficiency in Python and SQL. Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text, scientific text, or similarly complex unstructured data). Intermediate to advanced experience with Linux system administration (shell scripting, package management, user and service configuration). Ability to execute defined tasks independently while receiving structured technical guidance. Availability to attend on-site meetings or work in person for part of the scheduled time. Eligibility for a VA appointment to access VA research systems (e.g., VINCI). Due to federal requirements, eligibility may be limited based on citizenship or visa status. Minimum Qualifications Current University of Utah graduate student who is supported on the Tuition Benefit Program. Preferences Experience using or modifying machine learning models such as decision trees, Bayesian models, deep learning architectures, transformers, or LLMs. Familiarity with healthcare data standards (e.g., SNOMED CT, LOINC, RxNorm) or electronic health record systems. Experience with version control (Git/GitHub) and collaborative software development practices. Special Instructions Summary Please submit your resume or CV , including relevant coursework, work experience, and technical skills. A link to your GitHub repository or portfolio of technical work and writing (peer-reviewed papers or other technical/scientific articles, blogs, etc.) is strongly preferred. Applications will be reviewed on a rolling basis. 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. Please contact Human Resources for information. The University and URS have post-retirement rules and restrictions. The University values candidates who have experience working in settings with students and have 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. Reasonable accommodations in the application process are provided to individuals with disabilities upon request. The University does not discriminate in employment or education programs as required by Title IX. For reasonable accommodation or discrimination concerns, contact the OEO and Title IX Coordinator. Online reports may be submitted at This position may require criminal background check and/or drug screen. The University of Utah does not discriminate based on race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender identity, gender expression, pregnancy, genetic information, or protected veteran status. For Title IX information, contact the Title IX Coordinator. For accommodations, contact the Office of Equal Opportunity and Title IX. For more information, visit the University of Utah Non-Discrimination page. Required fields are indicated with an asterisk (*). Required Documents Resume Optional Documents Cover Letter Historical Only – Do Not Use – See Document Description for More Information – Addendum to the University of Utah – Veteran Only Historical Only – Do Not Use – See Description for More Information – Appropriate discharge document (such as DD-2214) – Veteran Only Transcripts List of References University Human Resource Management 250 East 200 South, Suite 125 Salt Lake City, UT 84111 Contact us: (801) 581-2169 By Email: employment@utah.edu #J-18808-Ljbffr