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Details

**Open Date** 05/05/2025

**Requisition Number** PRN41813B

**Job Title** Data Scientist

**Working Title** Data Scientist

**Job Grade** H

**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

M-F – Hybrid 3 days in office

**VP Area** U of U Health - Academics

**Department** 01114 - HS Planning Office

**Location** Campus

**City** Salt Lake City, UT

**Type of Recruitment** External Posting

**Pay Rate Range** $80,000 - $110,000 DOE

**Close Date** 06/05/2025

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

Job Summary

The Data Scientist works for the Health Sciences Strategy team in the University of Utah’s Office of the Senior Vice President for Health Sciences and reports directly to the Sr. Data Scientist and Executive Director of Strategy. Health Sciences Strategy develops data products and collaborates with varied University of Utah entities to craft health system strategy and implement initiatives.

To be successful in this role, candidates must be curious, proactive, and collaborative. The Data Scientist leverages wide-ranging data to support strategy craft and organizational planning. Success looks like:

+ Cleaning and leveraging new combinations of data to solve problems and find answers.

+ Applying statistical learning and data mining techniques to deliver concrete business outcomes.

+ Contributing to rapid data‑driven storytelling that helps leaders see problems and solutions faster.

+ Asking good questions, delivering well‑organized code and analyses, and communicating clearly with colleagues and health system leaders.

+ Working effectively with analysts, healthcare consultants, and clinicians, taking and incorporating feedback as part of a team-based problem-solving culture.

+ Adapting quickly to shifting priorities and tight timelines while maintaining a positive, team‑first attitude.

The Data Scientist will contribute to the analysis and interpretation of complex market, clinical, financial, and operational data to support strategic initiatives. Project work may include patient segmentation, cost modeling, market analysis, and health outcome analytics. Candidates must flex into many business and analytics areas to meet project needs, playing the role of analytics generalist when necessary.

This role has a hybrid schedule, requiring at least three days in the office per week in Downtown Salt Lake City with regular trips to the University of Utah Campus to collaborate with colleagues and clinical partners.

Responsibilities

Under the direction of the Senior Data Scientist and Executive Director of Strategy, you will:

+ Use descriptive statistics, predictive modeling, and other analytics techniques to synthesize unstructured and disjointed information into meaningful, compelling narratives to support the development of health system strategy.

+ Craft visualizations and interactive dashboards to summarize analytical findings and promote user/audience learning.

+ Support other health system entities as an internal consultant; acting as an expert resource for locating and gathering data, identifying and employing appropriate statistical methods, and creating data products.

+ Collaborate with data engineers and data scientists throughout the health system to further data science initiatives.

+ Stay up to date with developments and changing technologies via self-initiated professional development. This involves: continuing education courses, professional organizations, and industry conferences, etc.

Work Environment and Level of Frequency typically required:

Nearly Continuously: Office environment.

Physical Requirements and Level of Frequency that may be required

Nearly Continuously: Sitting, hearing, listening, talking.

Often: Repetitive hand motion (such as typing), walking.

Seldom: Bending, reaching overhead.

**Disclaimer:** This job description indicates the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.

Minimum Qualifications

+ Bachelor’s Degree in a quantitative field such as statistics, computer science, economics, applied math, or a related discipline is required. Graduate-level training (e.g., master’s degree) is preferred.

+ 6 years of related experience in the field or related area or equivalency (one year of education can be substituted for two years of related work experience) required.

This position has no responsibility for providing care to patients.

Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.

Preferences

**Preferences** :

+ Preferred candidates will have:Proficiency with at least one programming language commonly used in data science (e.g., R or Python).

+ Understanding of core statistical and machine learning methods, including various supervised and unsupervised learning techniques.Experience cleaning, transforming, and analyzing structured and unstructured datasets.

+ Strong written and verbal communication skills, including the ability to present data and methods to business and clinical audiences.

+ Ability to manage multiple priorities and meet project deadlines.

+ Experience writing and interpreting SQL queries.

+ A graduate degree in a quantitative field (e.g. master’s or PhD)

+ Familiarity with dashboarding tools such as D3, Tableau, Power BI, R Shiny, or Plotly Dash.

+ A strong understanding of data wrangling and integration techniques.

+ Demonstrated experience in roles requiring proactive engagement with managers and leaders.

+ A portfolio of project work demonstrating well-documented, and modular code (e.g., via GitHub).

+ Exposure to geospatial analysis or spatial data visualization.

+ Knowledge of web scraping or use of APIs to retrieve external data.

+ Experience applying large language models (LLMs) and natural language processing in health and business analytics.

**Type** Benefited Staff

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 patients from all backgrounds and possess a strong commitment to improving access to higher education and quality healthcare for historically underrepresented students and patients.

All qualified individuals are strongly 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 ( OEO /AA). 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 oeo.utah.edu

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.