Learning Analyst Jobs in Utah (NOW HIRING)

Announcement
Details
Open Date
04/20/2026
Requisition Number
PRN44755B
Job Title
PS Research Assistant/Analyst
Working Title
PS Research Assistant/Analyst
Career Progression Track
C
Track Level
FLSA Code
Nonexempt
Patient Sensitive Job Code?
Yes
Standard Hours per Week
40
Full Time or Part Time?
Full Time
Shift
Day
Work Schedule Summary
Monday through Friday 8:00 am to 5:00 pm
VP Area
U of U Health - Academics
Department
00232 - General Internal Medicine
Location
Campus
City
Salt Lake City, UT
Type of Recruitment
External Posting
Pay Rate Range
12.02 to 21.63
Close Date
08/01/2026
Priority Review Date (Note - Posting may close at any time)
05/15/2026
Job Summary
Research analyst role for healthcare machine learning (ML) and artificial intelligence (AI) research. Primary roles include but are not limited to: (1) Data gathering, cleaning, and analysis of healthcare data from local and national databases to build ML and AI models for healthcare; (2) Implementation of real-world AI applications for clinical use, including within the electronic health record; (3) Data visualization with report and manuscript preparation.
Qualifications Requirements: Bachelor's degree or higher. At least one year of experience in research and analytical techniques; demonstrated statistical and quantitative analysis experience; at least one year of experience with Python programming language; and demonstrated effective communication skills and teamwork required.
Gathers, organizes and analyzes data through interviews, literature searches, medical record reviews and related non-lab methods for use in studies, publications and other research related uses.
Responsibilities
The candidate will be responsible for applying ML and AI methods for the analysis of health-related data. This includes (1) collecting and compiling data from a variety of sources, including the electronic health record, local data sources, and national databases; (2) developing and training ML/AI models for built on modern cloud platforms including generative and predictive AI systems, agentic models, and healthcare-based operational tools; (3) creating multimodal data environments and supporting infrastructure for secure real-world AI application deployment, including application hosting, web services, and mobile applications. The candidate will participate as part of a larger research team to analyze key outcomes in medical diagnostics and treatment, hospital operations, and healthcare administration. Work Environment and Level of Frequency that may be required
Nearly Continuously: Office environment. Physical Requirements and Level of Frequency that may be required Nearly Continuously: Sitting, hearing, listening, talking. Often: Repetitive hand motion (such as typing), walking. Seldom: Bending, reaching overhead.
Collects and compiles data from a variety of sources; may enter data into a PC or computer terminal. Statistically analyzes data to include calculating the mean, median, and standard deviation, plotting scatter grams and performing multiple regression analysis in addition to other statistical computations. May edit research papers, project reports, proposals and curriculum materials prior to publication or presentation. Prepares format for final disposition of data; maintains an internal library on project information resources and final data collected. May work with research personnel in the design and preparation of research projects and in recording data.
Minimum Qualifications
Bachelor's degree in a Social or Behavioral Science, Liberal Arts, or a field related to the area of research, or equivalency (one year of education can be substituted for two years of related work experience); one year of experience in research and analytical techniques; demonstrated statistical and quantitative analysis experience; and demonstrated human relation and effective communication skills required.
This position is patient-sensitive and must fulfill all associated requirements. We protect our patients, coworkers and community by requiring all patient-sensitive employees to be immunized according to CDC standards and hospital policy. Limited exemptions may be made for documented medical contraindications or religious beliefs that object to vaccinations.
Preferences
Preferred Qualifications: A Master's or Doctoral Degree related to data science or health analytics is preferred. Experience with large language models, ML/AI architectures (e.g., deep learning, GBM, RF), and Epic-related integration (e.g., Clarity, Caboodle, SlicerDicer, FHIR, HL7) is highly favored. Familiarity with biostatistics is preferred but not required. This position is patient-sensitive and must fulfill all associated requirements. We protect our patients, coworkers and community by requiring all patient-sensitive employees to be immunized according to CDC standards and hospital policy. Limited exemptions may be made for documented medical contraindications or religious beliefs that object to vaccinations.
Type
Benefited Staff
Special Instructions Summary
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 or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah Non-Discrimination page.
Online reports may be submitted at https://oeo.utah.edu
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As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.