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Boehringer Ingelheim
5d ago

Internship - Bioprocess Data Science and Causal AI(m/w/x)

Biberach
Full-timeInternshipOn-site
AI/ML
Data Science

Description

You will advance digital bioprocess development by applying machine learning and Causal AI to optimize manufacturing, helping the company predict process dynamics and identify ideal production conditions.

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Requirements

  • Master's student in Bioinformatics, Bioprocess Engineering, Data Science, Statistics, or related field
  • Strong programming skills in Python
  • Understanding of cell metabolism or chemical engineering principles (significant plus)
  • Analytical mindset and ability to handle complex datasets
  • Good knowledge of MS Office
  • Fluency in spoken and written English
  • Valid residence permit for student internships in Germany

Education

Currently in higher education

Tasks

  • Develop Digital Twins for large-scale manufacturing
  • Predict process dynamics using sensor data
  • Pre-process data and manage machine learning methods
  • Merge mechanistic equations with machine learning
  • Implement advanced architectures for time-series forecasting
  • Develop Causal AI algorithms for bioreactor data
  • Perform Root Cause Analysis on batch deviations
  • Execute sensitivity analysis and in-silico optimizations
  • Identify optimal Golden Batch process conditions

Tools & Technologies

PythonPandasScikit-LearnPyTorchMS Office

Languages

EnglishBusiness Fluent

Benefits

Additional Allowances

  • Fair expense allowance

More Vacation Days

  • 2.5 days monthly paid leave
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