Process Modeling Scientist

We are looking for a top scientist or engineer supporting our ongoing innovation work. Job functions will include:

• Conducting independent research with deterministic, statistical, and hybrid models for process data in close collaboration with industrial clients and our interdisciplinary team.
• Developing, deploying, and maintaining process model implementations across multiple projects and software applications deployed in-house and on-premise with industrial clients.

Excellent university degree (at least Master’s, preferably PhD) in computer science, (bio)informatics, (bio)statistics or chemical/bioengineering.

Expertise in modeling of time series data and/or dynamic process data.

• Would be a plus: Fundamental understanding of biopharmaceutical processes including unit operations such as cell cultures, chromatography, filtration and virus inactivation. 
• Would be a plus: Experience in numeric solutions of complex ODE and PDE systems and/or mathematical optimization problems. 

Coding experience in Python. 

• Would be a plus: Experience with the Python Data Science stack (Numpy, Pytorch, Pandas, Scikit-learn, etc).
• Would be a plus: Project experience using Git.
• Would be a plus: Experience in Julia programming.
• Project experience in data analytics and machine learning.
• Motivation to work in an internationally active start-up company
• Fluency in written and spoken English.
• Responsibility, creativity, imaginative thinking, enthusiasm.
• Capability of teamwork and proactive independent research work.

• Integration into an engaging and thriving team of computationally experienced chemical engineers, biotechnologists, and computer scientists ready to master the digitalization challenge in the process industry.
• Hybrid working environment (home and office).
• Ability to visit other international offices and join customer visits.
• Possibility to spend 10% of your work hours into a work relevant personal research project.
• Versatile working environment between cutting-edge research and first-hand experience with international clients and attending international conferences.
• Sharp learning and responsibility curve in a challenging and interdisciplinary working environment.
• Attractive working conditions and progression in our company.