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Math Research Assistant information

What are the key skills and qualifications needed to thrive in the Math Research Assistant position, and why are they important?

To thrive as a Math Research Assistant, you need a strong foundation in advanced mathematics, analytical problem-solving, and research methodology, often supported by a bachelor's or master's degree in mathematics or a related field. Familiarity with mathematical modeling software (such as MATLAB or Mathematica), data analysis tools, and occasionally programming languages like Python is beneficial. Attention to detail, effective communication, and collaborative teamwork are vital soft skills in this role. These abilities ensure accurate research contributions, effective data analysis, and seamless coordination within research teams.

What does a typical day look like for a Math Research Assistant?

A typical day for a Math Research Assistant often involves collaborating with lead researchers or professors to gather and analyze data, conducting literature reviews, and running mathematical simulations or computations using specialized software. You may also assist in preparing reports, presentations, or research papers and participate in group meetings to discuss ongoing projects or share findings. The role is highly collaborative, often requiring regular interaction with faculty members, fellow assistants, and sometimes external research partners. This dynamic environment provides valuable exposure to the research process and helps build a solid foundation for advanced study or future roles in academia or industry.

What is a Math Research Assistant job?

A Math Research Assistant supports mathematical research by performing literature reviews, running computations, analyzing data, and assisting in writing reports or papers. They work under the guidance of a professor or lead researcher, often in an academic or institutional setting. Tasks may include coding simulations, proving theorems, or organizing research findings. Strong analytical skills and proficiency in mathematical software are often required.

What are the most commonly searched types of Math Research jobs in Utah? The most popular types of Math Research jobs in Utah are:
What are popular job titles related to Math Research Assistant jobs in Utah? For Math Research Assistant jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Math Research Assistant jobs in Utah look for? The top searched job categories for Math Research Assistant jobs in Utah are:
Math Research Assistant jobs near you
Infographic showing various Math Research Assistant job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Research Specialists

Research Specialists

University of Utah

Salt Lake City, UT

$14.38 - $27.87/hr

Part-time

Retirement

Posted 4 days ago

University Of Utah rating

7.1

Company rating: 7.1 out of 10

Based on 158 frontline employees who took The Breakroom Quiz

362nd of 553 rated colleges and universities

Job description

Details
Open Date 06/05/2026 Requisition Number PRN17122N Job Title Research Specialists Working Title Research Specialists Career Progression Track P00 Track Level P2 - Developing FLSA Code Professional Patient Sensitive Job Code? No Type Non Benefited Staff / Student Temporary? No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary
TBD
Is this a work study job? No VP Area U of U Health - Academics Department 00952 - Division of Epidemiology Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $14.38 - $27.87 Close Date 09/05/2026 Priority Review Date (Note - Posting may close at any time) 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, II
Set 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: P56432
Grade: 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 Summary
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.
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 NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

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Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850

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