Co-op: Spectroscopy-Driven Process Analytics

Johnson & Johnson Innovative Medicine; Hopewell Township (OH); On-site; USD 32,000 - 72,000; Full time

Job summary

Johnson & Johnson is seeking an Advanced Process Analytics Co-op to join the MSAT PSMD team in Titusville, NJ. The role focuses on spectroscopy-based modeling and analytics to transition workflows into scalable, reusable tools supporting product lifecycle decisions.

The position requires pursuing a PhD in a relevant engineering discipline, strong Python skills, and experience with Git, testing, and documentation. Collaboration across multidisciplinary teams is essential.

Qualifications

• Pursuing a PhD in chemical/biomedical engineering or related field.
• Strong Python programming skills for package development.
• Experience with Git, testing, code review, and documentation.

Responsibilities

• Develop and maintain libraries for spectroscopy data processing, model development, validation, and deployment.
• Create workflows, user guides, and technical documentation to support package adoption.
• Apply software engineering practices including testing, documentation, version control, and modular packaging.
• Implement chemometric and machine learning approaches to develop predictive models for bioreactor parameters.
• Review literature on spectroscopy, chemometrics, and PAT in bioprocessing.
• Present findings and recommendations to multidisciplinary stakeholders.

Skills

Python

Git

Testing

Multivariate analysis

LWR

Education

PhD candidate in Chemical/Biochemical/Biological/Pharmaceutical Engineering or related field

Tools

CI/CD

Job description

Johnson & Johnson is seeking an Advanced Process Analytics Co-op to join the MSAT PSMD team in Titusville, NJ. The role focuses on spectroscopy-based modeling and analytics to transition workflows into scalable, reusable tools supporting product lifecycle decisions.

The position requires pursuing a PhD in a relevant engineering discipline, strong Python skills, and experience with Git, testing, and documentation. Collaboration across multidisciplinary teams is essential.