Enterprise Quality 2026 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 https://www.jnj.com

Job Function:
Career Programs

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

Job Category:
Career Program

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

Job Description:

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.

Your unique talents will help patients on their journey to wellness.

Learn more at https://www.jnj.com/medtech

We are looking for the best talent in Enterprise Quality for 2026.

We are seeking highly motivated and meticulous Sophomores, Juniors and rising Seniors for Spring Co-ops within the Enterprise Quality organization.

We work on a “hybrid model”.

This means that you will be asked to report on site three (3) times a week and can work remotely two (2) times a week.

If you are selected for a Co-Op position, you will work directly with your manager as your start date approaches to confirm your exact schedule. 

This position offers a valuable opportunity for hands-on experience in analyzing business data, supporting decision-making processes, and contributing to data-driven strategies across various Enterprise Quality Functions.

The ideal candidate will assist in gathering, analyzing, and interpreting data to help our organization make informed decisions.

Below are a few examples of the types of experiences you can expect: 



* Digital Product Analysis: Understand and analyze end-to-end business processes and translate needs into digital solutions by building out product backlogs in the form of user stories. 



* Data Collection & Management: Assist in collecting, cleaning, and preparing datasets for analysis from various sources such as databases, APIs, and spreadsheets. 



* Data Analysis: Perform statistical analysis and data mining to identify patterns, correlations, and insights in business data. 



* Reporting: Develop visualizations and dashboards using tools such as Tableau, Power BI, or Excel to communicate data findings to key stakeholders. 


* Automation: Create automated workflows for data extraction, transformation, and reporting using Python, R, or SQL. 



* Support Decision-Making: Assist in analyzing data to support business decisions and pivotal initiatives. 



* Collaboration: Work closely with various departments, including QA-Ops, JJRC, finance and operations to understand their dat...