Data Science Co-op
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Job Description
About Company:
Johnson & Johnson believes health is everything and strives to build a world where complex diseases are prevented, treated, and cured. Through their expertise in Innovative Medicine and MedTech, they innovate across the full spectrum of healthcare solutions to profoundly impact health for humanity.
Job Description:
Johnson & Johnson is seeking a Data Science Co-op for the Fall 2025 term within their MedTech sector, located in Cincinnati, OH. The co-op will work within Ethicon’s Data Engineering infrastructure.
Term Dates: 8/25/2025 – 12/12/2025
Responsibilities:
• Perform data analyses using Machine Learning or other techniques to uncover new insights from surgical datasets and/or create high-impact analytics web apps.
• Contribute to data pipelines to advance Ethicon’s robust and scalable Data Engineering infrastructure.
• Write software to enable collaborative data analysis and ensure data quality.
• Participate in data collection activities to fuel insight and solution creation.
• Design and optimize data visualizations for consumption by management and business partners.
• Contribute as a member of a team with mentorship from seasoned Data Scientists, Analysts, and Engineers in best practices in data analysis and software development.
• Enable R&D Medical Device Product Development, Quality, or Supply Chain teams to make an impact on surgeons and patients.
Benefits:
• Competitive wage
• Housing assistance (one-time taxable stipend) for non-local students (50+ miles from the site)
• Support system and networking opportunities with other co-ops
Qualifications:
• Enrolled in an accredited college/institution pursuing a Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Biomedical, or other), Computer Science, Data Science, Statistics, or a related field.
• Must have completed a minimum of two semesters in school at the beginning of the co-op in May 2025 (class standing of a sophomore or above)
• Considered a student during the co-op term, must not have a graduation date prior to August 2025
• Minimum GPA of 3.0
• Demonstrated Mechanical or Electrical Engineering aptitude via prior coursework, professional experience, hobby projects, or other experience.
• Proficiency in R, Python, or another Object-Oriented programming language.
• Demonstrated interest in healthcare, robotics, mechanical systems, and/or electrical signals.
• Demonstrated leadership/participation in campus programs and/or community service activities.
• Permanently authorized to work in the U.S. (no sponsorship).
Preferred Experience:
• Scientific or Engineering datasets
• Python Data Science libraries (Pandas, NumPy, SciPy, Scikit-Learn, PySpark, etc.)
• Machine Learning algorithms and tools
• SQL
• Tableau
• R Shiny
• Dataiku
• Git
