Overview
University of Utah Health is an integrated academic healthcare system with five hospitals including a level 1 trauma center, eleven community health centers, over 1,600 providers, and a health plan serving over 200,000 members. University of Utah Health is nationally ranked and recognized for our academic research, quality standards and overall patient experience. In addition to our clinical delivery system, we have a School of Medicine, School of Dentistry, College of Nursing, College of Pharmacy, and College of Health providing education and training for over 1,250 providers annually. We have over 2 million patient visits annually and research grants exceeding $350 million. University of Utah Hospitals and Clinics represents our clinical operations for the larger health system.
The Principal Data Scientists leverage their expertise to analyze complex medical datasets-including (but not limited to) EHRs, genomics, and imaging to advance research, improve patient outcomes, and optimize clinical and business operations.
You will be part of the Innovation Office, a product factory inside the health system of the University of Utah.
As a patient-focused organization, University of Utah Health exists to enhance the health and well-being of people through patient care, research and education. Success in this mission requires a culture of collaboration, excellence, leadership, and respect. University of Utah Health seeks staff that are committed to the values of compassion, collaboration, innovation, responsibility, integrity, quality and trust that are integral to our mission. EO/AA
Responsibilities
Develop predictive algorithms, run statistical models, and create data visualizations in close collaboration with clinicians and researchers.
Conducting hypothesis testing on large-scale structured and unstructured data, building AI/ML models.
Managing data pipelines to integrate fragmented clinical sources into actionable insights.
Work closely with stakeholders in product management, engineering, and operations teams to define performance goals, KPIs, and other success measurements.
Act as a thought partner to produce insights and metrics for various technical and business stakeholders across the teams.
Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Collaborate with the engineering team to ensure infrastructure supports key analyses.
Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Knowledge / Skills / Abilities
Expertise in data science or health informatics.
Technical proficiency in Python, R, and SQL.
Expertise in machine learning and data mining.
Firm grasp of medical terminology and HIPAA/data governance standards.
Innovative mindset with a keen eye for identifying opportunities for improvement.
Ability to thrive in a fast-paced, dynamic environment and simultaneously handle multiple projects.
Qualifications
Qualifications Required
Bachelor's degree in a relevant field.
10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL)
Experience in extracting data with SQL and designing ETL flows, and with statistical software (e.g., R, Python) and database languages (e.g., SQL).
Qualifications (Preferred)
Preferred
Experience working in complex academic medical center environments.
Experience with lifecycle management in a fast-paced software environment.
Ability to formulate data-driven proposals and excellent project management, problem-solving and leadership skills.
Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling method.
Ability to teach others and learn new techniques such as differential privacy.
Experience with machine learning on large datasets.
Experience working with ServiceNow or JIRA.
Experience in large-scale data platforms.
Working Conditions and Physical Demands
Employee must be able to meet the following requirements with or without an accommodation.
This is a sedentary position in an office setting that may exert up to 10 pounds and may lift, carry, push, pull, or otherwise move objects. This position involves sitting most of the time and is not exposed to adverse environmental conditions.
Physical Requirements
Listening, Manual Dexterity, Near Vision, Sitting, Speaking, Standing
Multi-lingual Candidates Welcomed
To inquire about this posting, email: careers@hsc.utah.edu
EEO Statement
University of Utah Health Hospitals and Clinics, a part of 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 patient populations.
All qualified individuals 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.
University of Utah Health Hospitals and Clinics, a part of 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, please contact the University of Utah Health Hospitals and Clinics Human Resources office at 801-581-6500. 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 (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at:www.utah.edu/nondiscrimination/
Online reports may be submitted atoeo.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 Hospitals and Clinics Human Resources at (801) 581-6500 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 Hospitals and Clinics Human Resources at (801) 581-6500 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.
Requisition Number 82379
Reg/Temp Regular
Employment Type Full-Time
Shift Day
Work Schedule M-F
Clinical/Non-Clinical Status Non-Clinical
Location Name University of Utah Campus
Workplace Set Up Hybrid
City Salt Lake City
State UT
Department COR AFF 98A SVP OFFICE TRNSFRS
Category Information Technology
Workplace Set Up Hybrid
