Production Process Optimization Engineer
2 days ago
We are seeking a highly skilled Production Process Optimization Engineer to join our team at Novo Nordisk A/S in Kalundborg, Denmark.
About the RoleIn this role, you will be responsible for performing modelling and simulation of IM1 processes to improve production efficiency and capacity. Your key tasks will include:
- Data Analysis and Visualization: Extract, manage, and analyze data for reporting, documentation, and cause-effect analysis using tools such as Excel, PI, LMES, Alteryx, and Tableau.
- Process Improvement: Identify opportunities for process optimization and implement changes to improve productivity and quality.
- Collaboration: Work closely with cross-functional teams to ensure clear, timely, and direct communication with stakeholders.
Novo Nordisk A/S is a leading global healthcare company that is passionate about making a difference in the lives of people living with diabetes and other chronic diseases. Our site in Kalundborg is one of the largest production sites in the world, producing half of the world's insulin and other biopharmaceutical products.
RequirementsTo succeed in this role, you will need:
- Master's degree in Chemical and Biochemical Engineering
- Experience with modelling/simulation/digital twins, which is considered a plus.
- Knowledge of Citrix for applications and familiarity with INOSIM and VBA coding, which is considered an advantage.
- Full professional proficiency in written and verbal Danish and English.
The Insulin Manufacturing I (IM1) department is a dynamic and innovative team of 7 colleagues with a scientific background. We are part of the Utility & Solvents team, which handles supplies of raw materials and solvents for the production. Our department is organized into several teams, including a support team responsible for the various process and utility plants that supply the 4 production lines of the factory.
This is an exciting opportunity to be part of a growing team and contribute to the improvement of production processes in a dynamic environment.
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