Advanced Process Analytics Co-op

Johnson Johnson; Titusville (NJ); On-site; USD 30,000 - 45,000; Part time

Job summary

Johnson & Johnson is seeking an Advanced Process Analytics Co-op to join the MSAT PSMD team in Titusville, NJ. You will work on spectroscopy-based modeling and analytics for pharmaceutical manufacturing, transitioning workflows to scalable tools for broad use across the organization.

The role emphasizes developing libraries, applying multivariate methods, and documenting workflows for long-term adoption. Strong Python and collaboration across disciplines are essential.

Qualifications

• Enrolled in a PhD program in Chemical Engineering, Biochemical Engineering, Biological Engineering, Biomedical Engineering, Pharmaceutical Engineering, Chemistry, Analytical Chemistry, Chemometrics, Applied Mathematics, Statistics, Data Science, or a related technical discipline.
• Strong Python programming and software engineering practices including Git, testing frameworks, code review, and documentation.
• Experience with multivariate analytical methods including PCA, PLS and others.
• Demonstrated ability to work independently while collaborating effectively within multidisciplinary teams.
• Effective written and verbal communication skills.

Responsibilities

• Develop and maintain libraries for spectroscopy data processing, model development, validation, and deployment.
• Develop example workflows, user guides, and technical documentation to support long‑term package adoption.
• Implement robust software engineering practices including testing, documentation, version control, and modular package architecture.
• Implement and assess chemometric and machine learning approaches to develop predictive models for key bioreactor process parameters.
• Conduct literature reviews on spectroscopy, chemometrics, and PAT applications in bioprocessing.
• Present technical findings, software demonstrations, and recommendations to multidisciplinary stakeholders.

Skills

Python programming

Git

Testing frameworks

Documentation

PCA

PLS

LWR

Communication

Education

PhD in Chemical Engineering, Biochemical Engineering, Biological Engineering, Biomedical Engineering, Pharmaceutical Engineering, Chemistry, Analytical Chemistry, Chemometrics, Applied Mathematics, Statistics, Data Science

Tools

Git

CI/CD

Job description

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: Titusville, New Jersey, United States of America

Job Description

Johnson & Johnson is currently seeking a Advanced Process Analytics Co-op to join our MSAT PSMD team located in Titusville .

Within Manufacturing Science & Technology (MSAT), the Process Science Modeling & Data (PSMD) team partners with process scientists, engineers, and manufacturing organizations to solve complex process challenges through modeling, data analytics, and digital technologies. PSMD develops and deploys a broad range of solutions, including mechanistic models, machine learning tools, process monitoring applications, and spectroscopy-based predictive models that help improve process understanding and manufacturing performance.

You will contribute to ongoing projects focused on the development and deployment of spectroscopy-based modeling and analytics solutions for pharmaceutical manufacturing applications. The key focus of this role is to help transition existing modeling workflows into scalable, sustainable tools that can be broadly applied across the organization. These capabilities support process understanding and data-driven decision making throughout the product lifecycle.

Key Responsibilities

• Develop and maintain libraries for spectroscopy data processing, model development, validation, and deployment.
• Develop example workflows, user guides, and technical documentation to support long‑term package adoption.
• Implement robust software engineering practices including testing, documentation, version control, and modular package architecture.
• Implement and assess chemometric and machine learning approaches to develop predictive models for key bioreactor process parameters.
• Conduct literature reviews on spectroscopy, chemometrics, and PAT applications in bioprocessing.
• Present technical findings, software demonstrations, and recommendations to multidisciplinary stakeholders.

Qualifications

Education

• Enrolled in a PhD program in Chemical Engineering, Biochemical Engineering, Biological Engineering, Biomedical Engineering, Pharmaceutical Engineering, Chemistry, Analytical Chemistry, Chemometrics, Applied Mathematics, Statistics, Data Science, or a related technical discipline.

Experience and Skills

Required

• Strong Python programming skills to develop packages intended for use by multiple users or projects.
• Experience with software engineering best practices including Git, testing frameworks, code review, and documentation.
• Strong knowledge of multivariate analytical methods including LWR, PCA, PLS and others.
• Demonstrated ability to work independently while collaborating effectively within multidisciplinary teams.
• Effective written and verbal communication skills.

Preferred

• Familiarity with Raman spectroscopy or other PAT techniques.
• Understanding of mammalian cell culture, bioreactor operations, fermentation, or bioprocess development.
• Experience with modern software development workflows including CI/CD, automated testing, or documentation pipelines.
• Experience working with large scientific datasets and machine learning workflows.

Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long‑term status that does not require company sponsorship.

Johnson & Johnson is an 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, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview