Johnson & Johnson
jobid=A.0.049
Post Doc – Advanced Process Control
Location: Leiden, Netherlands
Start Date: ASAP
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.
We are looking for a motivated and driven Postdoctoral Scientist to join our team in an innovative automated process control project within cell culture manufacturing. In this role, you will play a key part in developing and implementing sophisticated automation strategies for biologics drug substance production, with a strong emphasis on modeling and process control. You will collaborate closely with the Leiden site and the Global Process Science Modeling & Data teams to demonstrate the potential of model-based feedback control in revolutionizing cell culture processes.
Join us in shaping the future of biologics manufacturing and advancing the next generation of cell culture technologies!
Key Responsibilities:
- Design mechanistic models to accurately capture the behavior of various cell lines in cell culture processes
- Infer key model parameters’ values from data
- Design a model-based feedback control loop to dynamically optimize critical process parameters in real-time under hard and soft constraints
- Partner with industry and academia to validate the developed models and control strategy
- Work multi-functionally with internal teams to efficiently implement the designed control strategy
- Present findings and innovations at internal meetings and external scientific conferences
Qualifications:
- PhD in a STEM field (e.g. Chemical Engineering, Physics, Computer Science or other relevant subject area)
- A strong background in mechanistic modeling and optimization techniques
- A strong background in model-based process control and state estimation techniques
- Proficiency in scientific programming with Python and familiarity with Process Analytical Technology (PAT) tools and sensors
- Familiarity with Bayesian modeling is a plus
- Previous exposure to cell culture manufacturing in a pharmaceutical setting is a plus
- Outstanding ability to identify, analyze, and proactively and independently address potential challenges
- Excellent communication and teamwork skills and ability to work optimally within multi-functional teams
Johnson & Johnson is an Affirmative Action and 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, or protected veteran status and will not be discriminated against on the basis of disability.
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