Data Science Intern
About The Position
As a patient-focused organization, University of Utah Health aims to enhance health and well-being through patient care, research, and education, fostering a culture of collaboration, excellence, leadership, and respect. The organization seeks staff committed to values like compassion, innovation, responsibility, integrity, quality, and trust. This is a three-month internship, requiring a regular Monday through Friday schedule. The internship provides students with exposure to essential data science functions within a healthcare organization, including preparing, verifying, and analyzing healthcare data extracted from electronic health records or financial systems for quality improvement, clinical operations, or business optimization. Interns will partner with the University of Utah Health Innovation group analysts and data scientists on advanced analytics and AI innovation. The University of Utah is a Level 1 Trauma Center, nationally recognized for academic research, quality standards, and patient experience, with five hospitals and eleven clinics offering comprehensive services and medical advancements.
Requirements
- Two years data entry experience or equivalency (one year of education can be substituted for two years of related work experience)
- Proficiency in the use of health care data for secondary use analysis
- Demonstrated human relation and effective communication skills
Nice To Haves
- Experience with Python
Responsibilities
- 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.
- Cover various aspects of healthcare analytics through rotations, including clinical data analysis, population health management, enterprise KPI design, practice optimization, cost analysis, and quality improvement.
- Be exposed to advanced analytics, AI, verification and validation methods, and their practical application in healthcare analytics and practice performance measurement.
- Develop both technical skills (e.g., SQL, Python, AI, and data visualization tools) and business acumen, allowing participants to understand how data analysis informs healthcare decisions.
- Prepare and present an executive level briefing from a participant project of interest at the conclusion of the rotation.
- Gain exposure to best practice data request workflows and analytics product development life cycle for the Innovation Office.
- Analyze health data extracted from various sources and other business systems into computerized information systems.
- Research and evaluate data for accuracy and completeness to ensure integrity for purposes of decision-making across a variety of clinical practice subject areas.
- Participate 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
