Postdoc: Process Modeling & Digital Twin for Pharma Manufacturing

Johnson & Johnson Co.

Schaffhausen

On-site

CHF 90,000 - 120,000

Full time

2 days ago

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Job summary

Johnson & Johnson is seeking a highly motivated Postdoctoral Researcher to advance modeling, simulation, and optimization for pharmaceutical manufacturing. Based in Schaffhausen, you will work at the intersection of process science, engineering, manufacturing, and data analytics to develop innovative solutions that enhance understanding, performance and technology deployment.

The role emphasizes Process Systems Engineering, dynamic modeling, and deploying digital twins to improve manufacturing

Qualifications

PhD in Chemical Engineering, Process Systems Engineering, Pharmaceutical Engineering or related field.
Experience with dynamic process modeling and either first-principles or mechanistic modeling.
Strong skills in process simulation, optimization, parameter estimation and data analytics.
Proficiency in scientific programming using Python, MATLAB, or Julia.

Responsibilities

Develop mechanistic, hybrid, and data-informed models for pharmaceutical manufacturing.
Design and implement dynamic simulations and digital twins to support decision-making.
Apply Process Systems Engineering methodologies including dynamic modeling and optimisation.
Develop predictive models from experimental and manufacturing data.
Support process monitoring, analytics, and operational decision-support.
Collaborate with scientists and engineers to translate knowledge into deployed solutions.
Contribute to publications, patents and technology development.
Identify and evaluate innovative technologies to improve manufacturing performance.