Data Science and AI Innovation Intern – Advanced Analytics and AI Innovation

Job Description

Data Science Intern | Cummings Electrical

The Tone:
This is a three-month internship at University of Utah Health, located in Salt Lake City, UT. 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, with a commitment to values like compassion, innovation, and integrity. This role is crucial for applying essential data science functions, preparing, verifying, and analyzing healthcare data to drive quality improvement, clinical operations, and business optimization within a nationally recognized Level 1 Trauma Center.

The TL;DR
• Role: Internship
• Type: Temporary (3-month), Monday through Friday
• Location: In-person, Salt Lake City, UT

• Team: Innovation group analysts and data scientists
• Mission: 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.
• Tech Stack: SQL, Python, AI, data visualization tools

What You’ll Actually Do
• Analyze: Analyze health data extracted from various sources, including electronic health records and financial systems, into computerized information systems.
• Evaluate: Research and evaluate data for accuracy and completeness to ensure integrity, supporting informed decision-making across a variety of clinical practice subject areas.
• Collaborate: Participate in defining the analysis approach and data design process, partnering with the Innovation group to ensure value is delivered to customers.
• Apply: Gain hands-on experience in practical skill development, applying data wrangling, statistical analysis, AI, and data visualization to real-world projects.
• Explore: Engage in rotational learning exposure covering various aspects of healthcare analytics, including clinical data analysis, population health management, and enterprise KPI design.

The Must-Haves
• Background: Student currently pursuing education, with two years of data entry experience or an equivalency (one year of education can be substituted for two years of related work experience).
• Experience: Demonstrated proficiency in the use of healthcare data for secondary use analysis.
• Skills: Strong human relations and effective communication skills; ability to run SQL queries and reports, and extract data from publicly available sources.
• Bonus: Experience with Python is a plus.