Data Science Intern

University of Utah HealthSalt Lake City, UT
Onsite

About The Position

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.

Requirements

  • 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
  • Demonstrated human relation and effective communication skills required.

Nice To Haves

  • experience with Python a plus.

Responsibilities

  • 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.
  • 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.
  • 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.
  • Rotations will provide exposure to best practice data request workflows and analytics product development life cycle for the Innovation Office.
  • Analyzes health data extracted from various sources and other business systems into computerized information systems.
  • Researches and evaluates data for accuracy and completeness to ensure integrity for purposes of decision-making across a variety of clinical practice subject areas.
  • Participates in defining the analysis approach and data design process to ensure value is delivered to customer.
  • May be required to run SQL queries and reports and extract data from publicly available sources.

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What This Job Offers

Job Type

Full-time

Career Level

Intern

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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