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 process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation,  external applicants please contact us via https://www.jnj.com/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource.

#LI-Hybrid

Required Skills:

 

 

Preferred Skills:

 

 

The anticipated base pay range for this position is :

$23.50/hr to $52.50/hr

Additional Description for Pay Transparency:

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.