Description

In this role, you will leverage your expertise in chemical and process engineering to support the scale-up and optimization of chemical processes. Your day-to-day responsibilities will involve collaborating with diverse teams, developing modeling platforms, and contributing to regulatory efforts, all while driving innovation and improving outcomes.

Requirements

• •Accomplished Chemical or Process Engineer
• •Higher education (at least Master's level) in Chemical or Process Engineering or related field
• •Minimum of 10 years of relevant professional experience
• •Demonstrated experience in designing and scaling chemical processes
• •Proven experience in process engineering/modeling in chemical or pharmaceutical industry
• •Experience using tools such as gPROMS/gWAP or Dynochem
• •Experience in building models using Python or MATLAB or another coding language
• •Strong knowledge of chemistry, chemical processes, and equipment
• •Expertise in process design and optimization
• •Strong drive to learn and master new technologies and modeling techniques
• •Strong conceptual thinking skills
• •Experience with computational fluid dynamics (CFD) and relevant software
• •Excellent teamwork and communication skills
• •Excellent command of written and spoken English
• •German language skills are a plus

Tasks

• •Provide process engineering input for scale-up and scale-down
• •Support optimization of batch and continuous processes
• •Embed engineering considerations in early-stage process design
• •Develop and expand the internal scale-up/scale-down modeling platform
• •Simplify user interfaces for generalist applications
• •Build relationships with universities and research consortia
• •Collaborate with cross-functional teams including chemists and data scientists
• •Contribute to regulatory filings and define design spaces
• •Assess technological advancements in the market
• •Identify new technologies for implementation
• •Utilize modeling techniques to drive business results
• •Uncover solutions in experimental datasets
• •Improve process outcomes through data insights
• •Mentor project teams in process modeling

Tools & Technologies