Intern - Data Science and Artificial Intelligence
Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare providers, researchers, and patients make informed decisions that advance care. Join us in our mission to improve health and improve lives. Labcorp is seeking a Data Science and Artificial Intelligence Intern to join our team on a remote basis. Work Schedule: Monday – Friday, 40 hours. Job Responsibilities: 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. Minimum Qualifications: Working towards postgraduate degree in Science, Mathematics, Computer Science or other related field Preferred Qualifications: Current or previous LabCorp experience Additional Job Standards: Experience delivering multiple projects in an academic or professional setting Ability to collaborate with various stakeholders and internal/external colleagues Completed coursework in machine learning, data mining, and statistical analysis, applying learned concepts in real-world scenarios Experience in programming languages including Python, R, and SQL for data manipulation and analysis Embraces diverse ways of thinking through various forms collaboration and partnership If you're looking for a career that offers opportunities for growth, continual development, professional challenge and the chance to make a real difference, apply today! This position is not eligible for visa sponsorship. Application Window: 04/23/26 - 04/28/2026 Pay Range: $35-$40 All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here. Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement. Apply To This Job