Boehringer Ingelheim, Internship - Bioprocess Data Science and Causal AI

You will work on the following topic:

Causal AI: Developing algorithms to distinguish between correlation and causation in bioreactor data to perform Root Cause Analysis on batch deviations.
While this position is primarily intended as an internship, there may be a possibility to transition into a Master’s thesis project depending on project fit and internal opportunities.

• Masterstudents in Bioinformatics, Bioprocess Engineering, Data Science, Statistics, or a related field
• Strong programming skills in Python (specifically Pandas, Scikit-Learn, and PyTorch)
• An understanding of cell metabolism or chemical engineering principles is a significant plus
• Analytical mindset with the ability to handle complex, high-dimensional datasets
• Good knowledge of MS Office
• Fluency in spoken and written English