Johnson & Johnson is recruiting for a Data Science Co-op for the Summer 2025 term within our MedTech sector, located in Cincinnati, OH.

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/.

For more than 130 years, diversity, equity & inclusion (DEI) has been a part of our cultural fabric at Johnson & Johnson and woven into how we do business every day. Rooted in Our Credo, the values of DEI fuel our pursuit to create a healthier, more equitable world. Our diverse workforce and culture of belonging accelerate innovation to solve the world’s most pressing healthcare challenges

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We know that the success of our business – and our ability to deliver meaningful solutions – depends on how well we understand and meet the diverse needs of the communities we serve. Which is why we foster a culture of inclusion and belonging where all perspectives, abilities and experiences are valued, and our people can reach their potential.

At Johnson & Johnson, we all belong.

The Summer 2025 term dates are from 5/5/2025 - 8/15/2025

Responsibilities:

• As a Data Science co-op, you will have the opportunity to:

• Perform data analyses using Machine Learning or other techniques to uncover new insights from surgical datasets, and/or create high-impact analytics web apps that enable further analysis.

• 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.

Responsibilities will increase with each rotation as you learn more by returning to school. Rotations are generally 12 weeks and availability for multiple rotations is desired. We offer a competitive wage and housing assistance to non-local students that live 50+ miles from the site. The Design & Co-op program provides each student with a great support system, as well as the opportunity to meet people from various schools throughout the country.

All co-ops that qualify for housing assistance will receive a one-time taxable stipend to support the cost of living during the co-op term. Prior to the start date all co-ops will be connected with other incoming co-ops and provided with housing resources to individually secure housing arrangements. Transportation is not provided; all co-ops are responsible for securing their own transportation to and from the site daily.

Qualifications

• Be 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 (you do not need to be taking classes during this semester)

• Have a minimum GPA of 3.0.

• Have demonstrated Mechanical or Electrical Engineering aptitude via prior coursework, professional experience, hobby projects, or other experience.

• Have demonstrated proficiency in R, Python, or another programming language that is Object-Oriented.

• Have demonstrated interest in healthcare, robotics, mechanical systems, and/or electrical signals.

• Have demonstrated leadership/participation in campus programs and/or community service activities.

• Must be legally authorized to work in the United States for the full duration of the co-op term of 5/5/2025 - 8/15/2025

Preferred:

Experience working with…

• 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

The anticipated base pay for this position is Sophomore $24.75/hr, Junior $25.75/hr, Senior $27.75/hr, Master’s degree $33/hr, Software Engineering major w/ 2 years' experience post-grad $37/hr, Ph.D. degree $51.50/hr. This is a duration-based role with ineligibility for severance.

Benefits:

• Co-Ops/Interns may be eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan.

• Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year

• Co-Ops and Interns may be eligible to participate in the Company’s consolidated retirement plan (pension)

For additional general information on Company benefits, please go to https://www.careers.jnj.com/employee-benefits

This job posting is anticipated to close at 11:59pm EST on November 22nd. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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