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Johnson & Johnson Logo

Q&C Data Science Co-Op – Spring 2026

Johnson & Johnson

$23 - $52
Sep 18, 2025
Cincinnati, OH, US
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Johnson & Johnson is looking to innovate across the full spectrum of healthcare solutions to deliver breakthroughs and profoundly impact health for humanity through its MD Quality and Compliance (Q&C) Digital Solutions organization.

Requirements

  • Familiarity with basic statistics concepts/terminology
  • Proficiency with Microsoft Office (Word, Excel, Power Point)
  • Programming (e.g. R, Python, etc.) and data analytics experience is strongly preferred.
  • Knowledge of FDA or regulatory guidance.
  • Medical related experience (previous co-op at medical device company, working volunteering at a hospital, etc.).

Responsibilities

  • Use state of the art tools and take advantage of training courses offered at J&J.
  • Collaborate with teams internal and external to the advanced analytics to implement customer-centric solutions for data analytics and process improvements
  • Perform software development and validation to support medical device quality system digital solutions.
  • Learn and apply various software development and lifecycle management techniques.
  • Promote digital culture and capabilities across J&J medical devices
  • Meet with Quality management to discuss risks and opportunities for the respective projects.
  • Work with a diverse team of data scientists, analytics app developers, quality engineers, etc.

Other

  • Enrolled in an accredited College/University pursuing a Bachelor’s or Master’s degree in Mechanical Engineering, Biomedical Engineering, Chemical Engineering, Electrical Engineering, Computer/Software Engineering or a related field
  • Be in your second year or above in school at the beginning of the co-op term in January 2026 with a graduation date after May 2026
  • GPA of 3.0 or above
  • Authorized to work in the United States during the full duration of the co-op (01/2026 - 05/2026)
  • Detail-oriented, highly organized and able to manage multiple tasks