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RiSM Internship for students in Pharmaceutical Sciences, Pharmaceutical Technology, Data Sciences, Cheminformatics or Chemistry(m/w/x)
Optimizing analytical methods for spray-dried materials and automating particle classification with machine learning. University student or recent graduate with studies in Pharma, Data Science, Cheminformatics, or Chemistry preferred. Regular project discussions with supervisors.
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Anforderungen
- University student or graduated within 12 months
- Studies in Pharmaceutical Sciences, Pharmaceutical Technology, Data Sciences, Cheminformatics, or Chemistry preferred
- Interest in technical and analytical issues
- Interest in using and sharing knowledge in a modern working environment
- Reliable and accurate working style
- Knowledge of Python and core data science libraries
- Self-sufficient, problem-solving oriented work habits
- Good knowledge of MS-Office (Word, Excel, PowerPoint)
- Good knowledge of AI tools
- Proficiency in English
- German language skills are a plus
- Non-EU/EFTA citizens: Mandatory internship certificate and enrollment
Aufgaben
- Review relevant literature for the project
- Train in relevant SOPs and manufacturing/analytical equipment
- Optimize analytical characterization methods for spray-dried materials
- Use machine learning to automate particle shape classification
- Discuss project progress with supervisors regularly
- Plan next steps with supervisors
- Summarize work in scientific reports
- Present results to the Roche Synthetic Molecule development community
- Identify reasons for different compact/tableting performance in ASD batches
- Set up an image analysis pipeline
- Train a convolutional neural network for classification
- Correlate findings with spray-drying process parameters
- Optimize drug product performance based on findings
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