Intern - Data Science and Artificial Intelligence
LabcorpAbout the role
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 – Data Science and Artificial Intelligence – Remote (US)
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 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 (US)
Compensation: Paid internship; relocation assistance available for qualified candidates
Eligibility: Preferred candidates are post graduate Masters or PHD students 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 Labcorp Artificial Intelligence team has pioneered real-time API integrations for model inference, deployed solutions leveraging state-of-the-art machine learning models, and continually brings advanced AI capabilities into practice to improve patient outcomes and business operations.
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.
Education/Qualifications/Skills:
Working towards postgraduate degree in Science, Mathemat
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