Internship - Bioprocess Data Science and Causal AI
The Position
Apply now for an internship in Biberach!
As the world leader in the production of innovative medicines, we at Boehringer Ingelheim offer you the opportunity to get to know the many tasks of the Bioprocess & Analytical Development / Modelling and Data Analysis Division. You accompany us at pre-processing data and take responsibility for machine learning methods.
Tasks & responsibilities
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.
Your Profile
- 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
What we can offer you
- As a student intern, you can expect a fair expense allowance (payment of the currently valid minimum wage)
- You will be given 2.5 days of paid time off for every full month of the internship
- A full-time internship is 37.5 hours a week (a smaller number of hours can be arranged)
Ready to contact us?
Discover our Biberach site: