Advanced Process Analytics 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: 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.

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.

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