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Computational Data Science Jobs in Utah (NOW HIRING)

University of Utah

Research Scientist

Salt Lake City, UT · On-site

$47.60K - $72K/yr

Problem Solving This position demands proficiency in computational data analysis and statistical ... Minimum Qualifications Bachelor's degree in biology, chemistry or other scientific discipline in a ...

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How much do computational data science jobs pay per hour?

As of May 28, 2026, the average hourly pay for computational data science in Utah is $51.72, according to ZipRecruiter salary data. Most workers in this role earn between $42.45 and $61.30 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Data Scientist, and why are they important?

To thrive as a Computational Data Scientist, you need a strong background in mathematics, statistics, programming (especially Python or R), and data analysis, often supported by a relevant degree in computer science, statistics, or a related field. Proficiency with data manipulation tools (like Pandas, NumPy), machine learning frameworks (such as TensorFlow or Scikit-learn), and cloud computing platforms is highly valued, along with experience using data visualization tools. Critical thinking, problem-solving, communication, and collaboration skills make someone stand out in this role. These abilities are crucial for extracting actionable insights from complex data, building effective models, and communicating findings to drive informed business decisions.

What are some common challenges faced by computational data scientists when working on cross-functional teams?

Computational data scientists often collaborate closely with professionals from diverse backgrounds, such as software engineers, domain experts, and business stakeholders. One common challenge is translating complex technical findings into actionable insights for non-technical team members. Additionally, aligning project goals and expectations across disciplines can require extra communication and flexibility. Overcoming these challenges often involves developing strong interpersonal skills, proactively clarifying requirements, and fostering a collaborative team culture.

What is Computational Data Science?

Computational Data Science is an interdisciplinary field that combines computer science, statistics, and domain knowledge to extract insights and knowledge from complex data sets using computational techniques. Professionals in this field use algorithms, machine learning, and advanced analytics to solve real-world problems by processing and interpreting large volumes of data. The work often involves programming, data modeling, and visualization, making it crucial in industries such as healthcare, finance, and technology. Computational Data Scientists help organizations make data-driven decisions and innovate through predictive modeling and data analysis.

What is the difference between Computational Data Science vs Data Analyst?

AspectComputational Data ScienceData Analyst
Required CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; often includes programming certificationsUsually requires a degree in Statistics, Business, or related fields; may include basic data analysis certifications
Work EnvironmentInvolves programming, modeling, and developing algorithms; often in tech or research settingsFocuses on interpreting data, creating reports, and supporting decision-making; in business or corporate environments
Employer & Industry UsageUsed in tech companies, research institutions, and industries requiring advanced modelingCommon in finance, marketing, healthcare, and business sectors

Computational Data Science involves advanced programming, algorithm development, and modeling, often in technical environments. Data Analysts focus on interpreting data, generating reports, and supporting business decisions. While both roles work with data, Computational Data Scientists typically require stronger programming skills and work on building models, whereas Data Analysts focus on data interpretation and visualization.

What are popular job titles related to Computational Data Science jobs in Utah? For Computational Data Science jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Computational Data Science jobs in Utah look for? The top searched job categories for Computational Data Science jobs in Utah are:
What cities in Utah are hiring for Computational Data Science jobs? Cities in Utah with the most Computational Data Science job openings:
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Associate Professor/Professor in Computational Oncology

Associate Professor/Professor in Computational Oncology

University of Utah

Salt Lake City, UT

Other

Retirement

Posted 6 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

327th of 528 rated colleges and universities

Job description

Position Information
Proposed Faculty Rank Associate Professor/Professor Department 00051 - College of Engineering-Dean City Salt Lake City, UT Track Tenure Track New Position to Begin 1/1/2025 Details
The Scientific Computing and Imaging (SCI) Institute at the University of Utah is growing and pursuing multiple new faculty hires over the next 3 years . These hires will expand the core research expertise at the SCI Institute, further enhance its strong research reputation in scientific, information, and biomedical visualization; image and data analysis; and interdisciplinary scientific computing. A major goal is to attract new partnerships across the University and beyond. Candidates whose research expertise integrates social and technical aspects are of particular interest.
This specific recruitment is for a senior-level tenure track faculty position within the SCI Institute as part of a new faculty Cluster in Computational Oncology (CCO). Advanced computing, data science, imaging, and visualization are central to solving fundamental problems in cancer research and care. CCO is a highly innovative collaboration between Huntsman Cancer Institute, the University of Utah's Comprehensive Cancer Center and the Scientific Computing and Imaging Institute at the University of Utah. Together we leverage our internationally renowned research strengths to make lifesaving advances in the prevention, detection, diagnosis, and treatment of cancer.

Initial hires as part of the CCO will consist of two senior positions, including 1) the Senior Director for Data Science at Huntsman Cancer Institute in the Department of Oncological Sciences (hired in 2022) and 2) this position, a Computational Oncology leader within the SCI Institute. The academic home will be within a department in the College of Engineering, Medicine, or Science. These two senior hires will be followed by multiple junior faculty positions.
For the Computational Oncology leader position, the SCI Institute is looking for an established researcher at the Associate or Full Professor level in an area that aligns with SCI's core research thrusts, i.e., scientific, information, and biomedical visualization, image and data analysis, and interdisciplinary scientific computing, with demonstrated leadership in applications to Oncology. Candidates whose research expertise integrates social and technical aspects are of particular interest. The successful candidate is expected to help coordinate joint initiatives, proposals, and faculty recruitment between the SCI Institute and HCI including the Computational Oncology Research Initiative (CORI) and other Cancer Informatics initiatives. The faculty member is expected to become a Cancer Center member, and as appropriate, may be considered for an adjunct position in the Department of Oncological Sciences.

All candidates are invited to submit a curriculum vitae, a cover letter containing a description of professional experience (including scientific accomplishments, leadership responsibilities and 3 references), a research plan (up to 3 pages), and teaching strategy (up to 1 page). Applicants should describe their vision for interdisciplinary, computational oncology research leadership within the context of the SCIInstitute's mission of multidisciplinary bridge building (http://www.sci.utah.edu/the-institute/bridges.html), especially collaborations with researchers within the Huntsman Cancer Institute.


For additional questions, please contact Chris Johnson (crj@sci.utah.edu) Search Committee Chair.
About the SCI Institute

Over more than two decades, the SCI Institute has established itself as an internationally recognized leader in translational innovations across computational and data science with leading research and training programs in the areas of visualization, scientific and biomedical computing, and image analysis applied to a broad range of challenging problems. For example, the SCI Institute is ranked by CSRankings (http://csrankings.org) as housing the top visualization and High Performance Computing group internationally. Alongside its research goals is a passion to educate students and staff. The SCI Institute is proud to have supported over 400 graduate students and postdoctoral fellows and nearly 100 undergraduates to achieve an education at the cutting-edge of research. SCI graduates move into faculty positions with universities internationally and become innovators with companies such as Apple, Exxon Mobil, Nvidia, Google, Intel, Boston Scientific, Orthogrid, Philips Medical, and Medtronic. Additional information about the Institute and current faculty can be found at http://www.sci.utah.edu.

The University of Utah is a Carnegie Research I Institution and member of the Association of American Universities (AAU); the SCI Institute is a trans-college, research-focused partnering entity at the University of Utah consisting of faculty from 4 academic units in 2 colleges along with students, and staff (185 current personnel). The SCI Institute's vision is to see applied computing bring transformation across disciplines in a way that benefits the University of Utah and society at large. Its mission is to bring together excellence in diverse domains applied to multidisciplinary and interdisciplinary problems of societal importance. The Institute accomplishes these goals through the collaborative development, assembly, and/or application of applied scientific and data computing, imaging, and visualization tools.

About the University of Utah

The University of Utah is in Salt Lake City, the hub of a large metropolitan area with excellent cultural and recreational opportunities. Utah and the stunning Salt Lake Valley are undergoing robust economic growth with one of the nation's fastest-growing technology sectors; the University of Utah is acclaimed for its successes in technology-driven start-ups. The University has invested significantly in the SCI Institute and substantial further investments are now enabling these recruitments.
EEO/Non-Discrimination Information

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 https://www.utah.edu/nondiscrimination/.
Online reports may be submitted at https://oeo.utah.edu.

Notice

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.
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.

Special Instructions for Candidates
For additional questions, please contact Chris Johnson (crj@sci.utah.edu) Search Committee Chair.
Open Date 07/11/2024 Close Date Open Until Filled Yes Requisition Number PRN01237CF Type Faculty

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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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