Graduate Research Assist (RA)
Not Disclosed•InternOn-site
location_on418, Winchester Street, Murray, Salt Lake County, Utah, 84107, United States
About the Team
The Division of Epidemiology in the Department of Internal Medicine is dedicated to advancing applied research at the intersection of healthcare, artificial intelligence, and data analysis. Our team focuses on translational research that directly impacts patient care and health system operations, leveraging large-scale datasets to drive clinical innovation.
About the Role
As a Graduate Research Assistant, you will play a pivotal role in evaluating and deploying large language models (LLMs) and other machine learning models within healthcare contexts. Your work will center on clinical data pipeline development and natural language processing (NLP)-based chart abstraction. You will operate within secure, access-controlled computing environments, including the University of Utah CHPC and the VA VINCI, utilizing both publicly available data (such as MIMIC-IV) and protected data from the University of Utah Health and the Veterans Health Administration.
This position offers a unique opportunity to engage in meaningful research that bridges technical data science with real-world clinical challenges. You will work under the structured technical oversight of Dr. Senthil Nachimuthu, contributing to reproducible research practices and manuscript preparation while collaborating with clinical and research faculty.
Hiring Process
Candidates must be currently enrolled master's students in computing, informatics, data science, biomedical informatics, or a closely related discipline. Due to federal requirements for accessing VA research systems, eligibility for this appointment may be limited based on citizenship or visa status. Interested candidates should review the specific eligibility criteria for VA appointments before applying.
Work location
Work model: On-site
418, Winchester Street, Murray, Salt Lake County, Utah, 84107, United States
Murray, Utah
Key Responsibilities
- check_circleDevelop, maintain, and optimize data processing pipelines for clinical and research datasets using Python and SQL
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Skills, education and keywords
Skills: Python, SQL, NLP, Machine Learning, Linux, Shell Scripting, Data Analysis.
Education: Currently enrolled master's student in computing, informatics, data science, biomedical informatics, or related discipline.
Frequently asked questions about Graduate Research Assist (RA) at University of Utah - Employment
What does a Graduate Research Assist (RA) at University of Utah - Employment do?expand_more
A Graduate Research Assist (RA) at University of Utah - Employment is responsible for the following: 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; Conduct exploratory data analysis and prepare visualizations and summary reports for research collaborators; and Support research workflows within established Linux-based environments under technical supervision.
What are the requirements for this Graduate Research Assist (RA) role?expand_more
University of Utah - Employment is looking for candidates who meet the following requirements: Currently enrolled master's student in computing, informatics, data science, biomedical informatics, or closely related discipline; Intermediate to advanced proficiency in Python and SQL; Experience applying NLP or machine learning methods to real-world datasets; Intermediate to advanced experience with Linux system administration; Eligibility for a VA appointment to access VA research systems; and Current University of Utah graduate student supported on the Tuition Benefit Program.