Boehringer Ingelheim
Praktikum Stöchiometrische Modellierung von Säugetierzelllinien in der pharmazeutischen Entwicklung(m/w/x)
Full-time/Part-timeInternshipOn-site
Biberach
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BOBoehringer Ingelheim
Internship - Bioprocess Data Science and Causal AI(m/w/x)
Biberach
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Boehringer Ingelheim and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BOBoehringer Ingelheim
Internship - Bioprocess Data Science and Causal AI(m/w/x)
Biberach
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Boehringer Ingelheim and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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.
Not a perfect match?
- Boehringer Ingelheim
Praktikum Stöchiometrische Modellierung von Säugetierzelllinien in der pharmazeutischen Entwicklung(m/w/x)
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