Advanced Process Analytics Co-op at Johnson & Johnson in Titusville, New Jersey, United States of America
- Company: Johnson & Johnson
- Location: Titusville, New Jersey, United States of America
- Posted: Sep 21, 2026
- Type: Full time
- Salary: $23.50/hr to $52.50/hr
Overview
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 t…
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.
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.
Requirements
- 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
- 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.
- 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.
- Preferred Skills:
Skills
Required
- Python
- Git
- Testing frameworks
- Code review
- Documentation
- Independent work
- Collaboration
- Written and verbal communication
Preferred
- Raman spectroscopy
- PAT techniques
- Mammalian cell culture
- Bioreactor operations
- Fermentation
- Bioprocess development
- CI/CD
- Automated testing
Benefits
- $23.50/hr to $52.50/hr
- The expected pay range for this position is between $23.50 per hour and $52.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are 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 are 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 on 6/11/2027. 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.
About Johnson & Johnson
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.