Job Description

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

This position is a three-month internship Applicants should expect to work a regular schedule Monday through Friday for the duration of the three months. The internship is designed to give a student exposure to essential data science function within a healthcare organization: prepares, verifies and analyzes health care data extracted from the electronic health record or financial systems for purposes of quality improvement, clinical operations, or business optimization. Partners with the University of Utah Health Innovation group analysts and data scientists on advanced analytics approaches and AI innovation opportunities

Corporate Overview: The University of Utah is a Level 1 Trauma Center and is nationally ranked and recognized for our academic research, quality standards and overall patient experience. Our five hospitals and eleven clinics provide excellence in our comprehensive services, medical advancement, and overall patient outcomes.

Responsibilities

Hands-on experience:

Participants will work on real-world projects involving data analysis and interpretation and practical skill development in areas like data wrangling, statistical analysis, AI, and

data visualization.

Rotational Learning Exposure:

Rotations may cover various aspects of healthcare analytics, including clinical data analysis, population health management, enterprise KPI design, practice optimization,cost analysis, and quality improvement. Participant will be exposed to advanced analytics, AI, verification and validation methods, and their practical application in healthcare analytics and practice performance measurement.

Skill Development:

Rotations focus on developing both technical skills (e.g., SQL, Python, AI, and data visualization tools) and business acumen, allowing participants to understand how data analysis can inform healthcare decisions. At the conclusion of the rotation, the participant will have an opportunity to prepare and present an executive level briefing from a participant project of interest.

Best Practices:

Rotations will provide exposure to best practice data request workflows and analytics product development life cycle for the Innovation Office. This job description has been designed to indicate 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.

Essential Functions

Qualifications

Required

• Two years data entry experience or equivalency (one year of education can be substituted for two years of related work experience) required; proficiency in the use of health care data for secondary use analysis and demonstrated human relation and effective communication skills required.

Qualifications (Preferred)

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

Carrying, Color Determination, Crawling, Far Vision, Lifting, Listening, Manual Dexterity, Near Vision, Pulling and/or Pushing, Reaching, Sitting, Speaking, Standing, Stooping and Crouching, Walking