Data Scientists

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Campus (IL)

On-site

USD 75,000 - 105,000

Full time

9 days ago

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Benefits offered by this job

University benefits

Job summary

University of Utah Health is seeking Data Scientists across multiple levels for the Hematology department on the Salt Lake City campus. Roles involve exploratory data analysis, ML modeling, and close collaboration with product engineers to translate prototypes into scalable products.

Positions are full-time, on-campus with competitive pay ranges for I-III levels and a close date of 2026-10-31. Candidates should have a bachelor’s or master’s degree with related experience.

Qualifications

Requires a bachelor’s (or equivalency) + 2 years of directly related work experience or a master’s (or equivalency) degree.
Data Scientist I: entry-level with basic supervision.
Data Scientist II/III: increasing complexity with broader experience.

Responsibilities

Produce innovative solutions from exploratory data analysis on complex datasets.
Apply statistics, ML, data modeling and math to recognize patterns and pose business questions.
Design, develop, and evaluate predictive models and advanced algorithms.
Generate hypotheses and analyze results of product experiments.
Collaborate with product engineers to translate prototypes into products and scale.

Skills

Statistics

Machine learning

Programming

Data modeling

Exploratory data analysis

Education

Bachelor’s degree

Master’s degree

Job description

Track Level P3 - Career, P2 - Developing, P1 - Entry Level Pro

FLSA Code

FLSA Code Computer Employee

Patient Sensitive Job Code?

Patient Sensitive Job Code? No

Standard Hours per Week 40

Full Time or Part Time?

Full Time or Part Time? Full Time

Shift

Shift Day

Work Schedule Summary

VP Area

VP Area U of U Health - Academics

Department

Department 00847 - Hematology

Location

Location Campus

City

City Salt Lake City, UT

Type of Recruitment

Type of Recruitment External Posting

Pay Rate Range

Pay Rate Range 75,000 - 105,000

Close Date

Close Date 10/31/2026

Priority Review Date (Note - Posting may close at any time)

Priority Review Date (Note - Posting may close at any time) 07/16/2026

Data Scientists 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.

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

Data Scientist, III

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. Considered highly skilled and proficient in discipline. Conducts complex, important work under minimal supervision and with wide latitude for independent judgment.

Requires a bachelor’s (or equivalency) + 6 years or a master’s (or equivalency) + 4 years of directly related work experience.

This is a Career-Level position in the General Professional track.

Job Code: P33863

Grade: P20

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.

Data Scientist, III : Requires a bachelor’s (or equivalency) + 6 years or a master’s (or equivalency) + 4 years of directly related work experience.

Preferences

Master’s Degree Preferred.

Additional 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 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.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members , a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

* 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