USCAN Technology Intern

Job Description

USCAN Technology Intern | GE HealthCare

The Tone:
This is an internship at GE HealthCare, located remotely in the U.S. GE HealthCare is a leading global medical technology and digital solutions innovator, dedicated to creating a world where healthcare has no limits. In this role, you will contribute to the Service Technology team by helping design, build, and improve technical solutions that support our field service organization, turning ideas into world-changing realities. Your project-based assignments will directly contribute to Service Technology priorities and build hands-on experience in analytics, visualization, and modern development practices.

The TL;DR
• Role: Internship
• Type: Temporary/Seasonal
• Location: Remote
• Pay: $23–$28 hourly
• Team: Service Technology team
• Mission: Design, build, and improve technology solutions that support the field service organization.
• Tech Stack: Power BI, DAX, Excel, Python, Java, JavaScript, C#, C/C++, Rust, Kotlin, Go, Zig

What You’ll Actually Do
• Collaboration: Translate voice-of-customer insights from field service teams into actionable digital solutions.
• Development: Design and deliver Power BI dashboards, including DAX development and high-impact data visualizations.
• Process Adherence: Apply standard work processes with accuracy and quality.
• Learning: Learn and apply new technologies and industry best practices.

The Must-Haves
• Background: Early career individual currently pursuing a BS or MS degree in Computer Science, Data Analytics, Information Systems, Business Intelligence, Statistics, or a related STEM discipline. Legal authorization to work in the United States is required, as GE HealthCare does not sponsor employment visas for this role now or in the future.
• Experience: Availability for a minimum of 10 weeks during Summer 2026; prior experience or coursework using Power BI (DAX and front-end design) and Excel for large data set analysis.
• Skills: Proficiency in one or more programming languages such as Python, Java, JavaScript, C#, C/C++, Rust, Kotlin, Go, Zig, or another object-oriented or modern imperative language.
• Bonus: Research or previous internship/work experience in algorithms, artificial intelligence, compilers, database, data mining, distributed systems, machine learning, or search; strong analytical skills with Data Science experience; knowledge of data structures, algorithms, and basic software design; knowledge of or classroom experience with UX/UI design principles; intellectual curiosity and passion for solving problems using technology; ability to operate in a self-directed environment; collaborative and solution-focused.