Sr Scientist Process Science Modeling

Johnson & Johnson (Leiden)

  • Onbekend
  • Chemical Engineering, Techniek
  • Senior
  • 0 keren bekeken
  • Laatste update 29-1-2026
  • Medische apparatuur, Maakindustrie, farmaceutiche, Gezondheidszorg, Biotechnologie

Over het bedrijf Johnson & Johnson

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Vacature

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at

Job Function:

R&D Product Development

Job Sub Function:

R&D Digital

Job Category:

Scientific/Technology

All Job Posting Locations:

Leiden South Holland Netherlands Ringaskiddy Cork Ireland Schaffhausen Switzerland

Job Description:

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 & Johnsons 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.

Qualifications

  • 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

Required Skills & Experience

  • 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

  • Some knowledge of Mixed-Integer Linear Programming (MILP) and discrete-event simulation tools and frameworks including SIMIO and SimPy is desirable

  • 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

Key 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

About PSMD at J&J MSAT Advanced Manufacturing

The PSMD group at Johnson & Johnson MSAT Advanced Manufacturing is dedicated to advancing pharmaceutical process science through innovative modeling simulation and data analytics. We strive to deliver robust solutions that drive efficiency quality and innovation across our manufacturing network.

Required Skills:

Preferred Skills:

Analytical Reasoning Critical Thinking Data Savvy Digital Fluency Digital Strategy Engineering Product Design Product Development Product Improvements Product Portfolio Management Report Writing Research and Development Safety-Oriented SAP Product Lifecycle Management Statistics Technical Credibility Technologically Savvy

Required Experience:

Senior IC

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