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Internship - Bioprocess Data Science and Causal AI(m/w/x)
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
- English – Business Fluent
Tools & Technologies
- Python
- Pandas
- Scikit-Learn
- PyTorch
- MS Office
Benefits
Additional Allowances
- Fair expense allowance
More Vacation Days
- Paid time off
- Home
- Jobs in Germany
- Internship - Bioprocess Data Science and Causal AIInternship - Bioprocess Data Science and Causal AI at Boe...
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- Home
- Jobs in Germany
- Internship - Bioprocess Data Science and Causal AIInternship - Bioprocess Data Science and Causal AI at Boe...
Internship - Bioprocess Data Science and Causal AI(m/w/x)
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
- English – Business Fluent
Tools & Technologies
- Python
- Pandas
- Scikit-Learn
- PyTorch
- MS Office
Benefits
Additional Allowances
- Fair expense allowance
More Vacation Days
- Paid time off
About the Company
Boehringer Ingelheim
Industry
Pharmaceuticals
Description
The company is focused on delivering lasting value to patients through innovative therapies and early clinical development.
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