Bioinformatics Internship at Boehringer Ingelheim, Germany | Bioprocess Data Science Internship | Apply Online
If you are an advanced graduate student looking to apply machine learning and causal inference to cutting-edge biopharmaceutical manufacturing, this full-time position at Boehringer Ingelheim is an exceptional opportunity. Located at the flagship R&D and production site in Biberach, Germany, this role bridges the gap between digital bioprocess development and advanced computational intelligence. For master’s students searching for a high-impact Bioinformatics Internship, this position offers a rare chance to develop Digital Twins for large-scale mammalian cell culture. It serves as an elite launchpad for a long-term Boehringer Ingelheim Career and stands out as a premier entry point for advanced Bioprocess jobs in Europe.
- Position: Internship – Bioprocess Data Science and Causal AI
- Job ID: 31130
- Job function: Development, Research, Biopharmaceuticals
- Location: Biberach, Germany
About The Company
Boehringer Ingelheim is a leading global biopharmaceutical company active in both human and animal health. Independent since its foundation in 1885, the company is one of the industry’s top investors in research and development, focusing on pioneering therapies for areas of high unmet medical need. Operating with a long-term perspective that embeds sustainability along the entire value chain, Boehringer Ingelheim employs approximately 54,500 people worldwide to service over 130 markets, making a global Boehringer Ingelheim Career highly prestigious and impactful.
Bioinformatics Internship – Key Responsibilities
As a student intern within the Bioprocess & Analytical Development / Modelling and Data Analysis Division, you will take hands-on responsibility for preprocessing time-course datasets and building predictive machine learning architectures.
Your core technical focus will involve:
- Digital Twin Development: Supporting the creation of Digital Twins for large-scale bioreactors, using time-course data from online sensors and offline metabolite measurements to accurately predict process dynamics.
- Causal AI Algorithm Construction: Developing algorithms to distinguish between mere statistical correlation and true causation in complex bioreactor data to advance this Bioinformatics Internship.
- Root Cause Analysis (RCA): Utilizing causal inference frameworks to perform automated Root Cause Analysis on batch deviations, helping engineers minimize product loss.
- Machine Learning Pipelines: Engineering, training, and troubleshooting machine learning methods designed to handle high-dimensional, multi-variable bioprocess data streams for these Bioprocess jobs.
Qualifications & Your Profile Required For Bioinformatics Internship
This advanced internship requires a strong mathematical and computational foundation paired with an analytical mindset to navigate complex data frameworks.
- Educational Track: Currently enrolled as a Master’s student in Bioinformatics, Bioprocess Engineering, or a closely related quantitative field.
- Programming Mastery: Strong programming skills in Python, with deep proficiency in data manipulation and deep learning libraries, specifically Pandas, Scikit-Learn, and PyTorch.
- Domain Knowledge Assets: A foundational understanding of cell metabolism, mammalian cell culture dynamics, or chemical engineering principles is considered a significant advantage.
- Linguistic Skills: Full fluency in both spoken and written English is mandatory to collaborate within Boehringer’s international research teams.
- Logistics & Timeline: Full-time commitment of 37.5 hours per week for a fixed 6-month duration on-site in Biberach, Germany. The earliest possible start date is July 1, 2026 (with flexible start windows available throughout the year).
In short, the Bioprocess Data Science and Causal AI Internship at Boehringer Ingelheim is a definitive route to transitioning your data science or bioinformatics degree into a high-demand biopharma career. By securing this position, you step away from basic statistical modeling and dive into the future of automated bioprocess optimization. If you have strong Python skills, know your way around PyTorch, and want to build a career at the intersection of AI and life sciences, apply today to secure this premier opportunity and jumpstart your Boehringer Ingelheim Career.
