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Internship - Bioprocess Data Science and Causal AI(m/w/x)
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
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
Languages
English – Business Fluent
Benefits
Additional Allowances
- •Fair expense allowance
More Vacation Days
- •2.5 days monthly paid leave
- Boehringer IngelheimFull-time/Part-timeInternshipOn-sitefrom 900 / monthBiberach
- Boehringer Ingelheim
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Internship - Bioprocess Data Science and Causal AI(m/w/x)
The AI Job Search Engine
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
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
Languages
English – Business Fluent
Benefits
Additional Allowances
- •Fair expense allowance
More Vacation Days
- •2.5 days monthly paid leave
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.
- Boehringer Ingelheim
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Full-timeInternshipOn-siteStuttgart, Leuna, Straubing, Biberach - Boehringer Ingelheim
Postdoc - AI in Histology / Spatial Transcriptomics(m/w/x)
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Praktikum Clinical Data Management (Clinical Data Engineering)(m/w/x)
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