The board
- Hours
- Full time
- Where
- Titusville, New Jersey, United States of America
- Apply by
- End Date: October 9, 2026
- Posted
- Sep 21
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
J…
What you'd do
- 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.
What they want
- 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 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.
- Starts
- 2026-09-21