Data Science 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:
Danvers, Massachusetts, United States of America

Job Description:

Johnson & Johnson is currently seeking a Data Science Co-op to join our Critical Care team (Applied Sciences & AI)located in Danvers, MA. 

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/. 

Program Dates:  January 12 – June 26, 2026

Position Summary

The Critical Care team is looking for a co-op or intern to support our early-stage research and development programs.

The candidate will be involved in solving data science and data analytics problems.

With defined requirements, the candidate will be responsible for designing algorithms for products, building machine learning tools and doing data analysis.



* Implement machine learning for new or existing algorithms


* Design and translate algorithms for products and internal analysis tool


* Research in new applications of data science within the company


* Conduct data analysis for internal or external groups

Key Responsibilities 


* Assist in the design and training of Machine Learning models for Clinical Decision Support


* Provide input into process development and improvement


* Analyze data and present results to larger Engineering team

Minimum Requirements 


* Senior, Master's or PhD student pursuing a degree in Data Science, Computer Science, Computer Engineering, Software Engineering, AI, or Statistics


* Strong Machine Learning background with experience in Deep Learning (along with tools like Tensorflow, Keras, Pytorch), time series modeling, LLMs, natural language processing.


* Proficient in at least one programming language (Python preferred) and solid understanding of data structures & algorithms.


* Solid understanding of statistics, strong analytical skills


* Self-motivated, execute tasks in a timely manner
...