Data Scientists @ University of Utah

Edtech.com's Summary

University of Utah is hiring Data Scientists to support research activities within the Department of Biomedical Informatics. They will develop innovative solutions using exploratory data analysis, statistics, machine learning, and programming to create predictive models and prototypes that improve products and services.

Highlights

Develop and evaluate predictive models and advanced algorithms from complex, high-dimensional datasets.
Apply statistics, machine learning, programming, data modeling, simulation, and advanced mathematics techniques.
Collaborate with product engineers to translate prototypes into scalable products and provide implementation guidelines.
Positions available at two levels: Data Scientist I (entry-level, requiring bachelor's + 2 years or master's) and Data Scientist II (developing-level, requiring bachelor's + 4 years or master's + 2 years experience).
Preferred skills include programming in C Shell, VI editor on LINUX, SQL, moderate Python proficiency, and database management.
Work with faculty in health research or biomedical informatics settings.
Full-time positions with a standard 40-hour workweek, Monday through Friday, with potential hybrid telecommuting.
Temporary one-year funding tied to ASTP and K grants, with possible extension based on funding and business need.
Compensation range: $60,000 - $75,000 annually.
University values diversity and encourages applications from underrepresented groups.

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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	11/10/2025
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, I 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. 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: P33861 Grade: P16 Data Scientist, II 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. 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: P33862 Grade: 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

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Original Job Description

Toggle navigation

Data Scientists Bookmark this Posting Print Preview | Apply for this Job

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	11/10/2025
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, I 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. 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: P33861 Grade: P16 Data Scientist, II 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. 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: P33862 Grade: 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

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Edtech.com's Summary

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