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Computational Data Analytics Jobs in Utah (NOW HIRING)

Degree in computational biology, bioinformatics, computer science or similar. * Experience analyzing complex multi-omic datasets, including human or single cell data. * Experience implementing, and ...

Degree in computational biology, bioinformatics, computer science or similar. * Experience analyzing complex multi-omic datasets, including human or single cell data. * Experience implementing, and ...

Degree in computational biology, bioinformatics, computer science or similar. * Experience analyzing complex multi-omic datasets, including human or single cell data. * Experience implementing, and ...

Join us on this journey as we execute this mission-critical contract providing high-end analytics ... a substantial computational component may be considered if it includes a concentration of ...

Post Doc Res Assoc

Salt Lake City, UT · On-site

$70K - $82K/yr

The position will involve developing computational models and simulation tools, analyzing experimental and operational data, formulating and solving optimization problems, evaluating technical and ...

Post Doc Res Assoc

Salt Lake City, UT · On-site

$70K - $82K/yr

The position will involve developing computational models and simulation tools, analyzing experimental and operational data, formulating and solving optimization problems, evaluating technical and ...

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Computational Data Analytics information

See Utah salary details

$22

$49

$86

How much do computational data analytics jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for computational data analytics in Utah is $49.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $56.44 per hour, depending on experience, location, and employer.

What is computational data analytics?

Computational data analytics is the process of using computational methods, algorithms, and systems to analyze large and complex datasets. This field combines principles from computer science, mathematics, and statistics to extract meaningful insights and patterns from data. Professionals in computational data analytics use tools such as machine learning, data mining, and statistical modeling to solve real-world problems in various industries. Their work often involves programming, data visualization, and working with big data platforms.

How does a computational data analyst typically collaborate with cross-functional teams to deliver data-driven insights?

Computational Data Analysts frequently work alongside professionals from various departments, such as engineering, product management, and business strategy. They gather requirements, clarify analysis goals, and present findings in clear, actionable terms. Regular meetings and collaborative tools are often used to ensure alignment, while analysts translate complex data patterns into practical recommendations that support decision-making across the organization. This teamwork not only enhances the impact of their analyses but also provides valuable opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive as a computational data analytics professional, and why are they important?

To thrive as a Computational Data Analytics professional, you need strong quantitative skills, proficiency in statistics, and expertise in data manipulation, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with data visualization tools (e.g., Tableau, Power BI), and knowledge of machine learning frameworks are commonly required. Excellent problem-solving abilities, effective communication, and the capacity to work collaboratively make candidates stand out. These skills enable professionals to extract actionable insights from complex datasets, drive informed decision-making, and add significant value to organizations.

What is the difference between Computational Data Analytics vs Data Scientist?

AspectComputational Data AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's or Master's in Data Science, Computer Science, Statistics, or related fields
Work EnvironmentData analysis teams, research labs, tech companiesData analysis teams, research labs, tech companies
Employer & Industry UsageTech, finance, healthcare, academiaTech, finance, healthcare, academia
Common Search & ComparisonYesYes

Computational Data Analytics focuses on developing algorithms and computational methods to analyze large datasets, often emphasizing programming and algorithm design. Data Scientists combine statistical analysis, machine learning, and domain expertise to interpret data and generate insights. While both roles require similar educational backgrounds and work environments, Computational Data Analytics leans more toward algorithm development, whereas Data Scientists focus on modeling and interpretation.

PS UU Student - Research

Salt Lake City, UT • On-site


University of Utah
Colleges, Universities, and Professional Schools • 10K+ employees

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

386th of 622 rated colleges and universities

People enjoy working here

Good employer

Recommended by students


$15/hr

Part-time

Retirement

Re-posted 19 days ago


Job description

Announcement
Details
Open Date
08/19/2026
Requisition Number
PRN17381N
Job Title
PS UU Student - Research
Working Title
PS UU Student - Research
Career Progression Track
SJ
Track Level
FLSA Code
Nonexempt
Patient Sensitive Job Code?
Yes
Type
Non Benefited Staff / Student
Temporary?
Yes
Standard Hours per Week
19
Full Time or Part Time?
Part Time
Shift
Day
Work Schedule Summary
Is this a work study job?
No
VP Area
U of U Health - Academics
Department
01624 - KORENBERG RESEARCH
Location
Campus
City
Salt Lake City, UT
Type of Recruitment
External Posting
Pay Rate Range
$15 Hour
Close Date
08/26/2026
Priority Review Date (Note - Posting may close at any time)
Job Summary
This will be a temporary work-study position for eligible students with FWS funding, supporting administrative and technical operations related to human subjects research with a strong emphasis on computational data organization, microscopy image management, and research productivity. The role assists faculty and Principal Investigators in organizing, curating, and preparing large-scale microscopy image datasets that form the foundation of multiple manuscripts in progress. The individual in this role will work closely with faculty to help transform years of accumulated research data - including thousands of microscopy images - into organized, analyzable datasets that support the completion of approximately 25 scholarly papers. This position is ideal for a student with an engineering or computer science background who is interested in applying computational skills to real-world human biology and medical research questions and is eager to learn the biological context behind the data.
May be included in paper authorship depending on contribution to work.
Work will include subject identification across molecular databases.
Responsibilities
Research Data & Image Management
  1. Organize, catalog, and curate large microscopy image datasets stored on servers and external hard drives.
  2. Classify images by year, subject, study, and experimental parameters to ensure traceability and usability.
  3. Maintain structured data organization systems that support long-term research use and manuscript preparation.
  4. Assist in organizing image series that represent years of experimental work, recognizing each image as part of a larger scientific narrative.

Computational & Database Support
  1. Enter, manage, and maintain research-related data in electronic databases.
  2. Apply computational thinking and basic data processing methods to improve data accessibility and workflow efficiency.
  3. Support faculty and research staff in preparing datasets for analysis, visualization, and publication.

Research Operations Support
  1. Assist Study Coordinators and Clinical Research Coordinators with execution of study-related tasks as needed.
  2. Communicate regularly with Coordinators and Principal Investigators regarding progress on assigned data and organizational tasks.
  3. Organize and prepare study-related equipment and supplies, including data storage devices and image transfer materials.

Regulatory & Study Support (as applicable)
  1. Assist in the preparation and maintenance of regulatory documents and IRB submissions.
  2. Organize study documentation and support pre-study, monitoring, and investigator meetings.
  3. May assist with scheduling subject visits, determining visit windows from protocols, and sending visit reminders.

Data Quality & Reporting
  1. Organize and prepare research data for analysis and manuscript development.
  2. Assist with accurate data entry from source documents or medical records into electronic systems.
  3. Support reporting and tracking of study data elements as directed by the research team.

Learning & Collaboration
  1. Engage in hands-on learning of human biology concepts relevant to the research data.
  2. Participate in investigator and staff meetings to understand study goals, timelines, and scientific context.
  3. Work collaboratively with faculty, research staff, and student mentors to meet defined project milestones.

Minimum Qualifications
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 background in Applied Math and Computer Science; experience in the industry doing analytical work and optimizing algorithms.
Lab experience analyzing DTI/DSI brain tractography in DS vs Normals. Analyzing 7 intercellular databases (DNA Methylation, RNA-seq, miRNA, Protein, Phosphoprotein, Lipids, Metabolism) both separately and together for DS vs normals. Experience in developing, with very high precision, a model that predicts certain diseases from these 7 intercellular databases + cognitive & imaging data.
Experience with the use and development of AI approaches to data organization and analysis.
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
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

Sourced by ZipRecruiter

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.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US


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