Data Science Co-Op - Fall

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 Med Tech, 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.

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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.

Career Programs

Non-LDP Intern/Co-Op

Career Program

Danvers, Massachusetts, United States of America

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 Med Tech, 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

July 13 – December 18, 2026

The Critical Care team is seeking a Co‑Op to support early‑stage research and development efforts. This role focuses on solving data science and analytics challenges. With defined requirements, the candidate will design algorithms for product applications, build machine learning tools, and perform data analysis across multiple initiatives.

• Implementing machine learning techniques for new and existing algorithms
• Designing and translating algorithms for product integration and internal analysis tools
• Exploring new applications of data science within the organization
• Conducting data analysis for internal and external stakeholders

• Assist in designing and training machine learning models for clinical decision support
• Contribute to process development and continuous improvement initiatives
• Analyze data and present findings to the broader engineering team

• Current enrollment in a degree program in biomedical engineering, electrical and computer engineering, data science, computer science, AI, statistics, or a related field (master’s or PhD preferred)
• Strong background in machine learning with experience in deep learning (e.g., Tensor Flow, PyTorch), time‑series modeling, NLP, and LLMs
• Proficiency in at least one programming language (Python preferred) and solid understanding of data structures and algorithms
• Strong statistical knowledge and analytical skills
• Self‑motivated with the ability to meet deadlines and execute tasks independently
• Excellent written and verbal communication skills

• Deep understanding of transformer architectures (e.g., GPT, BERT, T5, LLaMA)
• Experience fine‑tuning and evaluating LLMs for tasks such as NER and QA
• Familiarity with data science/ML libraries (Num Py, Pandas, Matplotlib, scikit‑learn, Hugging Face Transformers, Lang Chain)
• Experience in signal processing (time‑series analysis, filtering, and domain transformations)
• Exposure to big data or cloud platforms (AWS, Azure, Hadoop, Spark, Hive)
• Demonstrated interest in the medical device industry
• Experience using Python‑centric web application frameworks (e.g., Streamlit, Plotly Dash, Django)
• Experience gathering user feedback and translating it into iterative improvements
• Familiarity with multi‑stage container builds, container maintenance, and extensions
• Experience building APIs using FastAPI, including routing, lifecycle management, and async programming
• Postgre
  
  SQL experience, including schema design,…