Labcorp
Remote
Intern - Data Science and Artificial Intelligence
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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 Assignment Summary
- Machine Learning Model Development & Deployment: Design, develop, and deploy production-ready machine learning models through real-time API integrations, contributing to enterprise-scale AI solutions that directly impact patient care and healthcare delivery across Labcorp's global diagnostic operations.
- Generative AI Application & Innovation: Apply cutting-edge Generative AI techniques to solve complex healthcare and business challenges, working alongside experienced data scientists to implement state-of-the-art AI capabilities that enhance diagnostic workflows and operational efficiency.
- End-to-End AI Solution Implementation: Participate in the full lifecycle of AI solution delivery—from data exploration and model development to integration, testing, and monitoring—while gaining hands-on experience with enterprise-level machine learning infrastructure and best practices in a healthcare setting.