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University of Utah Data Scientist in Salt Lake City, Utah

Open Date 10/13/2020

Requisition Number PRN24520B

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

VP Area U of U Health - Academics

Department 00728 - U of U Medical Group

Location Campus

City Salt Lake City, UT

Type of Recruitment External Posting

Pay Rate Range $93,950 - $108,000

Close Date

Open Until Filled No

Job Summary

The Data Scientist will have direct reporting responsibility to the Data Science Team Lead within the University of Utah Health Medical Group Analytics Team. We need a self-motivated individual that is naturally curious to solve big health care problems in new and innovative ways. This individual must utilize expertise to query, design and translate complex data analysis into simple, user-friendly mediums that are easily digest able – from health system executives to front-line clinicians. Must be comfortable working on a team and have strong communication and presentation skills.

This position is considered Category IIA : Not required on campus and has the ability to telework remotely for the duration of the University of Utah’s response to COVID -19. An employee hired into this role will be responsible for providing space, telephone, printing, networking and/or internet capabilities at the telecommute location and agree to the terms of the University of Utah campus and Health Academics COVID -19 Telecommuting Agreement.

Responsibilities

Responsibilities:

•Facilitates and/or leads in brainstorming strategic and tactical actions for solving business problems with team members and/or physician leaders; will serve as a highly respected consultant and collaborative thought leader both within the medical group and across the University

•Supports customer facing analyst team with advanced SQL query and data management expertise.

•Consistently display the ability to lead a variety of advanced analytic projects in tandem with a focus on helping to tell a compelling story with data and/or help to solve big problems for the institution, provider practice(s) and/or clinical enterprise.

•Expertise in industry leading statistical and data science practices; these enable operational improvement, strategy deployment, value improvement, population health and clinical program advancement, and improved patient satisfaction and outcomes.

Data Visualization

•Communicates findings effectively, both visually and in plain language as to make them useful to non-analytic stakeholders

•Create data visualizations that convey a full data story to the end user

•Determine the best tool to use and best type of visual for a given set of data. Adopts new tools and techniques as needed.

•Apply design best practices in a way that is visually appealing and draws the viewer in, while avoiding data representation practices that can mislead the viewer.

Technical Skills

•Proficient with standard office productivity tools, such as MS Office

•Comprehensive understanding of statistical models

•Proficient with SQL

•Proficient with analytical scripting language (Python, R, Java 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.

Minimum Qualifications

Bachelor’s Degree and 6-8 years of related experience in the field or related area is 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

In addition to the points above, the Data Scientist will benefit by having these preferred competencies:

Healthcare includes the ability to…

•Articulate impacts of different payment models across a health system (e.g. Medicaid patient populations on Primary Care

•Diagram a clinical EHR workflow using Visio or similar

•Identify different provider types and roles to understand how operational workflows and reporting could impact EHR workflows and data

•Identify key stakeholders and data structures to tailor analyses

Healthcare Domain Knowledge

•Speaks fluently with healthcare vocabulary, healthcare policy issues, common abbreviations, and organizational mission

•Leads process mapping of operational workflows

•Develops collaborative relationships across care and business roles and engages appropriate care providers to understand business workflow

•Able to identify the most knowledgeable care providers to understand business workflow and communicate to others

Type Benefited Staff

Special Instructions Summary

Additional Information

The University of Utah is an Affirmative Action/Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, University of Utah policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law.

To inquire about this posting, email: employment@utah.edu or call 801-581-2300. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities. To request an accommodation or for further information about University AA/EO policies, please contact the Office of Equal Opportunity and Affirmative Action, 201 S. Presidents Cr., Rm 135, (801) 581-8365 (V/ TDD ), email: oeo@umail.utah.edu .

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 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.

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