Bioprocess Data Science Co-Op: Digital Ops & Strategy

Johnson & Johnson Innovative Medicine; Malvern (Chester County); On-site; USD 20,000 - 31,000; Full time

Job summary

Johnson & Johnson Innovative Medicine in Malvern, PA is seeking a Co-Op for six months (January–June 2027), full-time on-site. The role focuses on bioprocess analytics, data science, and Process Analytical Technology (PAT), offering hands-on experience with sensors, spectroscopy, modeling, programming, and cross-functional collaboration.

You will design DoE sample sets, analyze data from Raman/IR/NIR, develop multivariate models, support model validation, and communicate findings to teams across

Qualifications

• Completion of Undergraduate Freshman year at an accredited University is required.
• Pursuing a Bachelor's, Master's, or PhD in a relevant scientific/engineering discipline.
• GPA 3.0+ across college coursework.
• No conflicting internship or employment during the program dates.
• Programming experience including Python; statistical and data science skills.

Responsibilities

• Collaborate with cross-functional teams to prepare tests and execute DoE sample sets.
• Acquire and analyze data from process sensors and spectroscopy (Raman/IR/NIR).
• Develop multivariate models and apply data science to improve bioprocess understanding.
• Support development, testing, and validation of analytical models.
• Document methods, models, and project outcomes; communicate results to teams.
• Assist integration of PAT into operational workflows and provide project support.

Skills

Python programming

Analytical thinking

Independent worker

Education

Undergraduate freshman year

Bachelor's or higher in science/engineering

Tools

Python

R/MATLAB

Job description

Johnson & Johnson Innovative Medicine in Malvern, PA is seeking a Co-Op for six months (January–June 2027), full-time on-site. The role focuses on bioprocess analytics, data science, and Process Analytical Technology (PAT), offering hands-on experience with sensors, spectroscopy, modeling, programming, and cross-functional collaboration.

You will design DoE sample sets, analyze data from Raman/IR/NIR, develop multivariate models, support model validation, and communicate findings to teams across