Sr Scientist Process Science Modeling
About The Position
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 Johnson & Johnson. Johnson & Johnson’s Manufacturing Science and Technology (MSAT) Advanced Manufacturing team is seeking a versatile and driven Senior Process Science Modeling Scientist for our Process Science Modeling and Data (PSMD) group. This role is critical in developing and deploying advanced mathematical models to optimize and enhance biopharmaceutical manufacturing processes. The candidate will bring a strong background in process modeling, optimization, and data-driven decision making, with a passion for innovation in the pharmaceutical industry.
Requirements
- PhD or equivalent experience in Chemical Engineering, Bioengineering, or related subject area, or MSc in Chemical Engineering, Bioengineering, or related field with proven experience in the pharmaceutical industry
- Demonstrated background in Model Predictive Control, with relevant publications
- Expertise in mathematical optimization, including Nonlinear Programming (NLP), with solvers such as Ipopt and Baron, and using modeling libraries such as Pyomo
- Familiarity with mechanistic or hybrid modeling approaches for unit operations in pharmaceutical manufacturing
- Strong Python programming skills for model development, data analysis, and workflow automation
- Solid foundation in statistics and familiarity with machine learning models applied to process science
Nice To Haves
- Some knowledge of Mixed-Integer Linear Programming (MILP) and discrete-event simulation tools and frameworks, including SIMIO and SimPy is desirable
Responsibilities
- Develop, validate, and deploy mathematical models to improve pharmaceutical manufacturing processes
- Engage with colleagues across engineering, manufacturing, and data science teams to understand challenges and deliver impactful solutions
- Design and implement technical roadmaps for innovation initiatives within the PSMD team
- Participate actively in research discussions, both internally and with academic partners, to develop knowledge exchange and collaborative innovation
- Collaborate with internal team members to identify and address process improvement opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
