Cell Culture Engineering 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 jnj.com.

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.

Job Function:

Career Programs

Job Sub Function:

Non-LDP Intern/Co-Op

Job Category:

Career Program

All Job Posting Locations:

Malvern, Pennsylvania, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine

We are searching for the best talent for Cell Culture Engineering Co-Op to be in Malvern, PA.

• The Co-op term is from October, 2026 to April, 2027.
• Full time requirement (40 hours per week).
• An internal pre-identified candidate for consideration has been identified. However, all applications will be considered.

Purpose:

Johnson & Johson R&D focuses on the development of advanced materials and manufacturing processes, risk management, and analytical testing throughout the development lifecycle and across all sectors, including Pharmaceutical and Medical Device. We operate in a dynamic, cross-functional, and technologically innovative environment, and are dedicated to fostering engineering and scientific talent.

The R&D Co-Op program offers students practical, hands-on experience, along with coaching, mentoring, and networking opportunities. Participants will have the chance to connect with peers from diverse educational backgrounds across the country. Each Co-Op will be assigned to a specific function and project for the duration of a six-month term, typically from October 2026 to April 2027.

You will be responsible:

The API Proteins organization within Johnson & Johnson Innovative Medicine is seeking a highly motivated candidate with training in Chemical or Biological Engineering and Advanced Data Analytics. The successful candidate will collaborate with the End-to-End Upstream Process Development and Automation teams, contributing to the development of bioreactor Reduced Scale Models (RSM). Specifically, the candidate will leverage their knowledge of scientific and engineering principles to:

• Collect and collate diverse experimental data sets across several bioreactor scales (e.g., 250mL, 5L, 500L, 2kL)
• Perform data transformation (e.g., via means of mass balance and kinetic modeling)
• Perform advanced data analytics (e.g., usage of Buckingham Pi theorem, Statistical Design of Experiments, Multivariate Data Analysis and time-series analysis)
• Apply an iterative and adaptive learning approach for experimental design and execution (e.g., model-based or model discriminate Design of Experiments)

Qualifications / Requirements:

• Completion of Undergraduate Freshman year at an accredited University is required.
• Currently pursuing a Master's or PhD degree in Chemical Engineering, Biological Engineering, Pharmaceutical Sciences, or related fields.
• Have a cumulative GPA of 3.0 or higher, which is reflective of all college coursework.
• Coursework and/or working knowledge of cell culture processes.
• Hands-on experience in process modeling and simulation.
• Strong analytical and quantitative skills.
• Basic laboratory skills and experience in research, experimental design & execution, and data analysis.

Preferred:

• Hands-on experience in cell cul