University of Utah
Data Scientists
🇺🇸 Hybrid - Salt Lake City, UT
🕑 Full-Time
💰 $60K - $75K
💻 Data Science
🗓️ November 4th, 2025
Python
SQL
Edtech.com's Summary
University of Utah is hiring a Data Scientist to support research activities in the Department of Biomedical Informatics. The role involves producing innovative solutions through exploratory data analysis, applying expertise in statistics, machine learning, and programming to develop predictive models and advanced algorithms, and collaborating with product engineers to translate prototypes into scalable products. This position is temporarily funded for one year, with possible extension based on funding and business need.
Highlights
- Support ongoing health research and informatics projects with faculty in the Biomedical Informatics department.
- Perform exploratory data analysis on complex, high-dimensional datasets to identify patterns and opportunities.
- Develop and evaluate predictive models, advanced algorithms, and prototypes for product improvement.
- Collaborate with product engineers to implement prototypes into new products, services, and features.
- Use statistical, machine learning, simulation, and advanced mathematical techniques.
- Required proficiency in programming, data modeling, and simulation; knowledge of C Shell, VI editor, Linux, SQL, and Python is preferred.
- Compensation range is $60,000 to $75,000 annually.
- Data Scientist I requires a bachelor's degree plus 2 years related experience or a master's degree; Data Scientist II requires more experience or advanced degree.
- Full-time position with a standard 40-hour workweek, Monday through Friday; may be eligible for hybrid telecommuting.
- Position is funded by ASTP and K grants and is contingent upon continued funding.
Data Scientists Full Description
Data Scientists
Announcement
Details
Open Date | 10/31/2025
Requisition Number | PRN43456B
Job Title | Data Scientists
Working Title | Data Scientists
Career Progression Track | P00
Track Level | P2 - Developing, P1 - Entry Level Pro
FLSA Code | Computer Employee
Patient Sensitive Job Code? | No
Standard Hours per Week | 40
Full Time or Part Time? | Full Time
Shift | Day
Work Schedule Summary | Monday through Friday. Exact schedule is to be arranged with supervisor. This position may be eligible for a hybrid telecommuting arrangement.
VP Area | U of U Health - Academics
Department | 00241 - Biomedical Informatics
Location | Other
City | Salt Lake City, UT
Type of Recruitment | External Posting
Pay Rate Range | $60,000 - $75,000
Close Date | 11/07/2025
Priority Review Date (Note - Posting may close at any time) |
Job Summary | The Department of Biomedical Informatics is seeking Data Scientist with experience in health research or informatics. They will work with the faculty in the Department of Biomedical Informatics to support ongoing research activities.
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
This position is benefitted but is only temporarily funded for one year from the date of hire. The position may be extended based on additional funding and business need. This job is tied to ASTP and K grants. If the ASTP or K grants ever stop supplying funding, this position will immediately terminate.
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 | Data Scientist, IProduce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Requires basic skill set and proficiency. Conducts work assignments as directed. Closely supervised with little latitude for independent judgment.Requires a bachelor’s (or equivalency) + 2 years of directly related work experience or a master’s (or equivalency) degree.This is an Entry-Level position in the General Professional track.Job Code: P33861Grade: P16
Data Scientist, IIProduce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. 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: P33862Grade: P18
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:
Data Scientist, I: Requires a bachelor’s (or equivalency) + 2 years of directly related work experience or a master’s (or equivalency) degree.
Data Scientist, II: Requires a bachelor’s (or equivalency) + 4 years or a master’s (or equivalency) + 2 years of directly related work experience.
Preferences | Education or experience with computer programming skills Experience with large datasets Proficiency in C Shell and VI editor in LINUX, SQL programming, moderate Python proficiency, and basic database management skills Excellent communication skills to collaborate effectively with a multi-disciplinary team.
Type | Benefited Staff
Special Instructions Summary |
Additional Information | The University of Utah values candidates who have experience working in settings with students from diverse backgrounds and possess a strong commitment to improving access to higher education for historically underrepresented students.
Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are encouraged to apply. 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.
The University of Utah is an Affirmative Action/Equal Opportunity employer and 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 Affirmative Action:
Director/ Title IX Coordinator
Office of Equal Opportunity and Affirmative Action (OEO/AA)
383 University Street, Level 1 OEO Suite
Salt Lake City, UT 84112
801-581-8365
oeo@utah.edu
Online reports may be submitted at oeo.utah.edu
For more information: https://www.utah.edu/nondiscrimination/
To inquire about this posting, email: employment@utah.edu or call 801-581-2300.
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://safety.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.
Requisition Number | PRN43456B
Job Title | Data Scientists
Working Title | Data Scientists
Career Progression Track | P00
Track Level | P2 - Developing, P1 - Entry Level Pro
FLSA Code | Computer Employee
Patient Sensitive Job Code? | No
Standard Hours per Week | 40
Full Time or Part Time? | Full Time
Shift | Day
Work Schedule Summary | Monday through Friday. Exact schedule is to be arranged with supervisor. This position may be eligible for a hybrid telecommuting arrangement.
VP Area | U of U Health - Academics
Department | 00241 - Biomedical Informatics
Location | Other
City | Salt Lake City, UT
Type of Recruitment | External Posting
Pay Rate Range | $60,000 - $75,000
Close Date | 11/07/2025
Priority Review Date (Note - Posting may close at any time) |
Job Summary | The Department of Biomedical Informatics is seeking Data Scientist with experience in health research or informatics. They will work with the faculty in the Department of Biomedical Informatics to support ongoing research activities.
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
This position is benefitted but is only temporarily funded for one year from the date of hire. The position may be extended based on additional funding and business need. This job is tied to ASTP and K grants. If the ASTP or K grants ever stop supplying funding, this position will immediately terminate.
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 | Data Scientist, IProduce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Requires basic skill set and proficiency. Conducts work assignments as directed. Closely supervised with little latitude for independent judgment.Requires a bachelor’s (or equivalency) + 2 years of directly related work experience or a master’s (or equivalency) degree.This is an Entry-Level position in the General Professional track.Job Code: P33861Grade: P16
Data Scientist, IIProduce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. 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: P33862Grade: P18
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:
Data Scientist, I: Requires a bachelor’s (or equivalency) + 2 years of directly related work experience or a master’s (or equivalency) degree.
Data Scientist, II: Requires a bachelor’s (or equivalency) + 4 years or a master’s (or equivalency) + 2 years of directly related work experience.
Preferences | Education or experience with computer programming skills Experience with large datasets Proficiency in C Shell and VI editor in LINUX, SQL programming, moderate Python proficiency, and basic database management skills Excellent communication skills to collaborate effectively with a multi-disciplinary team.
Type | Benefited Staff
Special Instructions Summary |
Additional Information | The University of Utah values candidates who have experience working in settings with students from diverse backgrounds and possess a strong commitment to improving access to higher education for historically underrepresented students.
Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are encouraged to apply. 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.
The University of Utah is an Affirmative Action/Equal Opportunity employer and 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 Affirmative Action:
Director/ Title IX Coordinator
Office of Equal Opportunity and Affirmative Action (OEO/AA)
383 University Street, Level 1 OEO Suite
Salt Lake City, UT 84112
801-581-8365
oeo@utah.edu
Online reports may be submitted at oeo.utah.edu
For more information: https://www.utah.edu/nondiscrimination/
To inquire about this posting, email: employment@utah.edu or call 801-581-2300.
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://safety.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.
Posting Specific Questions
Required fields are indicated with an asterisk (*).
- * What is your highest level of completed education?
- None
- High School Diploma or Equivalent
- Associate Degree
- Bachelor's Degree
- Master's Degree
- Doctorate Degree
- * How many years of related work experience do you have?
- Less than 6 years
- 6 years or more, but less than 9 years
- 9 years or more, but less than 12 years
- 12 years or more, but less than 15 years
- 15 years or more
- Will you now or in the future require visa sponsorship for employment?
(Open Ended Question) - Please provide three professional references
- First and Last Name
- Relation
- Company
- Email Address
- Phone Number
Applicant Documents
Required Documents
- Resume
Optional Documents
- Cover Letter
University Human Resource Management
250 East 200 South, Suite 125 Salt Lake City, UT 84111
Contact us: (801) 581-2169 By Email: employment@utah.edu
250 East 200 South, Suite 125 Salt Lake City, UT 84111
Contact us: (801) 581-2169 By Email: employment@utah.edu
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