Job Details

University of Utah
  • Position Number: 7222142
  • Location: Salt Lake City, UT
  • Position Type: Laboratory and Research


Research Specialists

Job Summary

Research Specialists
The Division of Epidemiology in the Department of Internal Medicine is seeking a Research Analyst 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.


Key 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

    Learn more about the great benefits of working for University of Utah: benefits.utah.edu

    The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.

    Responsibilities
    Research Specialist, IISet up and conduct experiments according to established research protocols while working under the direction of scientists. Perform a variety of tasks contributing to tests and studies to support the objectives of research projects. Prepare samples for analysis and perform laboratory tasks and procedures. Collect and analyze data, and test, validate, and document results. Summarize research findings to help inform decisions. Assist in the preparation of research documentation, such as grants, regulatory submissions, manuscripts, reports, summaries, publications, and presentations. Remain knowledgeable in the research methods, techniques, and developments in field of specialty. Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment.
    Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.This is a Developing-Level position in the General Professional track.Job Code: P56432Grade: P13



    Minimum Qualifications
    EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).
    Department may hire employee at one of the following job levels:
    Research Specialist, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.

    Required

    Educational background (completed a Bachelor's or Master's degree or currently enrolled in a Master's degree) in computing, data science, applied mathematics, medical/health 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 working independently in a Linux environment (shell scripting, package management, user and service configuration).

    Ability to execute defined tasks independently while receiving structured requirements and technical guidance.

    Availability to attend on-site meetings or work in person for part of the scheduled time.

    This position requires 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.



    Preferences

    Preferred

    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.

    Experience in writing and publishing scientific or technical work in peer-reviewed papers, whitepapers, technical articles, or blogs.



    Special Instructions
    Submit 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.

    Requisition Number: PRN17122N
    Full Time or Part Time? Part Time
    Work Schedule Summary: TBD
    Department: 00952 - Division of Epidemiology
    Location: Campus
    Pay Rate Range: $14.38 - $27.87
    Close Date: 9/5/2026
    Open Until Filled:

    To apply, visit https://utah.peopleadmin.com/postings/203265







    Copyright 2025 Jobelephant.com Inc. All rights reserved.

    Posted by the FREE value-added recruitment advertising agency

    jeid-3505f052dc3c5e40877b0112435c5ae8