Commercial Data Science & AI Co-op

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function: Career Programs

Job Sub Function: Non-LDP Intern/Co-Op

Job Category: Career Program

All Job Posting Locations: Raritan, New Jersey, United States of America

About MedTech

Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, and more personalized solutions to improve patient outcomes around the world.

At Johnson & Johnson MedTech, we combine data, analytics, artificial intelligence, automation, and deep commercial expertise to enable better decision-making, improve productivity, and drive meaningful business impact.

Job Description

This position has allocated resources for relocation support.

We are searching for the best talent for a Data Science, Generative AI & Intelligent Automation Co-Op within the Digital & Commercial Innovation organization.

We are looking for a motivated, analytical, and technically curious co-op to help design, develop, and scale solutions spanning predictive analytics, enterprise generative AI, conversational intelligence, and intelligent process automation. The role will support real-world commercial and operational challenges by turning data and knowledge into actionable insights, AI-enabled experiences, and more efficient digital workflows.