Intern - Real-World Data Analytics

Company Overview:

At Labcorp, we believe in the power of science to change lives. We are nearly 70,000 people across 100 countries who are harnessing science for human good. Our work combines unparalleled diagnostic laboratories, drug development capabilities and commercial innovations. Together, we fuel scientific breakthroughs and deliver more than 160 million medical test results that help guide treatment decisions, accelerate patient care and change lives.

Join us in our pursuit of answers.

Labcorp 2026 Global Internship Program Exciting Internship Opportunity – Real World Data Analytics Intern | Remote

Join Labcorp’s 2026 Global Internship Program and take the first step toward a meaningful career in healthcare innovation! We’re looking for motivated students to be part of a dynamic 12-week paid internship where you’ll work on impactful projects and gain real-world experience, all while supporting our mission to improve health and improve lives.

Internship 2026 Dates: May 18, 2026 – August 7, 2026

About the Program

As a Labcorp intern, you’ll be immersed in hands-on work that complements your academic background. In addition to your project work, you’ll gain valuable exposure to Labcorp’s global business, culture, and leadership through:

• Enterprise-wide learning experiences that introduce you to key business functions across Labcorp
• Leadership exposure and visibility, including direct interaction with senior leaders
• An immersive, in-person intern event June 2-4, 2026, designed to connect you with peers and deepen your understanding of our mission
• Senior leader speaker sessions offering insights into strategy, innovation, and career growth
• Continuous opportunities to connect and grow, from intern cohort communication channels and LinkedIn Learning resources to professional development sessions and storytelling opportunities that highlight your internship journey
• Connection to Labcorp’s inclusive culture through engagement with our employee resource groups (ERGs)and values-driven community initiatives
• Dedicated mentoring connections to guide your growth, provide career advice, and support your internship journey

Internship Details

• Duration: 12 weeks, full-time
• Dates of Internship: May 18, 2026 - August 7, 2026
• Location: Remote
• Compensation: Paid internship; relocation assistance available for qualified candidates
• Eligibility: Preferred candidates are rising juniors and seniors (Dec 2026 through June 2028 graduation) who are currently enrolled in a relevant degree program; however, all current students pursuing related studies are encouraged to apply.

Why Labcorp?

In 2025, we welcomed over 300 interns across our global offices. As part of the 2026 cohort, you’ll join a diverse community of future leaders working to shape the future of diagnostics, biopharmaceutical lab services, corporate functions, and healthcare delivery.

Ready to make a difference?

Apply now to launch your career and create real impact for patients worldwide. #FutureofLabcorp

About the Team: The Real-World Data (RWD) Product Strategy group is responsible for the strategic utilization of Labcorp's Real-World Data assets to innovate solutions that generate meaningful insights, drive advancements in healthcare, and enhance human health. This is achieved through implementation of an exciting new “big data” approach to clinical testing. We are integrating the test results from our national testing business into an enterprise data warehouse to enable a variety of impactful data use cases.

Internship Assignment Summary:

• Participate in the Take Off Program Kick-Off and engage in summer activities.
• Collaborate with assigned teams on projects related to RWD analysis.
• Attend workshops, panels, and tours to gain insights into the industry.
• Present findings and innovative projects to Senior Leadership.
• Network with professionals and fellow interns to build career connections.

Education/Qualifications/Skills:

• Currently pursuing a degree in Data Science, Bioinformatics, Computer Science, Health Informatics, or a related field.
• Familiarity with oncology, biostatistics, data analytics, or health data management.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with databases (e.g., MySQL, PostgreSQL) and data visualization packages or tools (e.g., ggplot, seaborn, Tableau, Power BI).
• Understanding of statistical methods and their application in health data.
• Previous experience in data analysis, healthcare, or research projects is preferred.
• Basic understanding