Bioinformatics Internship at Boehringer Ingelheim Germany
Looking for a cutting-edge bioinformatics internship in Europe? This exciting Student Internship at Boehringer Ingelheim offers a premium internship in Germany focused on Bioprocess Data Science and Causal AI. As part of Boehringer Ingelheim Careers, this is a high-impact Internship opportunity for life science graduates eager to apply machine learning, hybrid modeling, and AI to large-scale biopharmaceutical manufacturing.
About Boehringer Ingelheim
Founded in 1885, Boehringer Ingelheim is an independent biopharmaceutical company active in both human and animal health. As a major investor in research and development, the company focuses on innovative therapies addressing unmet medical needs. With approximately 54,500 employees serving more than 130 markets worldwide, Boehringer Ingelheim integrates sustainability throughout its value chain to build a healthier and more sustainable future.
Internship Details:
- Internship Title: Bioprocess Data Science and Causal AI Internship
- Company: Boehringer Ingelheim
- Organization: BI Pharma GmbH & Co. KG
- Job ID: 31130
- Location: Biberach, Germany
- Employment Type: Full-Time Internship (37.5 hours/week)
- Work Model: Hybrid
- Duration: 6 months (start date flexible; as soon as possible)
- Career Level: Student Roles & Internships
Bioinformatics Internship Overview
Boehringer Ingelheim offers an internship opportunity within the Bioprocess & Analytical Development / Modelling and Data Analysis Division. The intern will support digital bioprocess development initiatives, particularly in the creation of Digital Twins for large-scale mammalian cell culture manufacturing.
The role involves working with time-course data from online sensors and offline metabolite measurements to model and predict process dynamics. The intern will contribute to data preprocessing and take responsibility for implementing machine learning methods.
Depending on project alignment and internal opportunities, there may be potential to transition into a Master’s thesis project.
Key Responsibilities
- Hybrid Modeling: Integrating mechanistic models (e.g., mass balances) with machine learning approaches to develop informed process models
- Advanced Machine Learning Architectures: Testing and implementing new mathematical formulations for time-series forecasting, such as Neural ODEs or deep learning approaches
- Causal AI: Developing algorithms to distinguish correlation from causation in bioreactor data to support root cause analysis of batch deviations
- Process Optimization: Conducting sensitivity analyses and in-silico optimizations to identify optimal “Golden Batch” process conditions
Applicants are requested to indicate their preferred topic area in the cover letter.
Candidate Profile
- Master’s student in Bioinformatics, Bioprocess Engineering, or a related discipline
- Strong programming skills in Python, particularly Pandas, Scikit-Learn, and PyTorch
- Knowledge of cell metabolism or chemical engineering principles is advantageous
- Strong analytical mindset and ability to work with complex, high-dimensional datasets
- Good knowledge of MS Office
- Fluency in written and spoken English
- Valid residence permit covering the full internship duration and allowing student internships in Germany (mandatory)
What does the company offer in a Bioinformatics Internship?
- Fair expense allowance in line with the current minimum wage
- 2.5 days of paid leave per full month of internship
- Flexible working hours arrangement (full-time standard: 37.5 hours/week)
- Opportunity to gain hands-on experience in digital bioprocess development within a leading biopharmaceutical company
