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BOBoehringer Ingelheim

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

Biberach
Full-timeInternshipOn-site
AI/ML
Data Science

Developing Digital Twins for mammalian cell culture manufacturing, distinguishing correlation from causation in bioreactor data. Strong Python programming skills with Pandas, Scikit-Learn, and PyTorch required. Fair expense allowance, paid time off.

Requirements

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

Tasks

  • Support development of Digital Twins for mammalian cell culture manufacturing
  • Pre-process data from online sensors and offline metabolite measurements
  • Take responsibility for machine learning methods
  • Develop algorithms to distinguish correlation from causation in bioreactor data
  • Perform Root Cause Analysis on batch deviations

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • Pandas
  • Scikit-Learn
  • PyTorch
  • MS Office

Benefits

Additional Allowances

  • Fair expense allowance

More Vacation Days

  • Paid time off
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