Data Science Co-Op Spring 2026

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 https://www.jnj.com

Job Function:
Career Programs

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

Job Category:
Career Program

All Job Posting Locations:
Horsham, Pennsylvania, United States of America

Job Description:

Johnson & Johnson Innovative Medicine is recruiting for a co-op position.

The co-op can be remote or working from a J&J site (e.g.

NJ, PA).  

Impact (Outcomes) of Decision-Making: Effective data management, governance, and reporting are needed to ensure the Global Regulatory Affairs (GRA) organization moves towards data-driven decision making.

The individual works on projects that drive continuous improvement, and impact metrics and monitoring policies, processes, standards, and technology systems. 

Supervision Received: This role reports to a Manager or Associate Director in Data Science and works independently with limited supervision with a moderate level of autonomy.

This position works within a global environment and is accountable to ensure key items and timelines are met.

This role requires a 6 month commitment. 

Key Responsibilities: 

Within GRA’s Regulatory Operations & Digital Innovation (RODI) organization, the Data Science team plays a critical role in helping drive a data-centric culture across GRA.

This role will support Data Science by understanding how business teams benefit from data to achieve business strategies and to understand and improve performance.

This role will be involved in working directly on or influencing GRA’s data governance, data standards, data quality, and data analytics processes and technologies. 

Key Responsibilities

This includes, but are not limited to:



* Documenting business use cases that show how data can support business strategies, identifying data sources, delivering continuous improvement of metrics reporting processes, provisioning reports and metrics to key cross-functional team members, developing project management documents, developing learning materials, and contributing to key discussions with cross-functional data and business teams.


* Learn business aspects of data standards, AI, and related data governance by working with data subject matter experts. 


* Support in the design, implementation, and maintenance of a program to increase and sustain data literacy across GRA.


* Drive a data-driven culture by enabling business utilization and self-service of their data transformation and visualization needs. 


* Obtain, gather...