About the role
AI summarisedThe researcher will perform machine learning research and data analysis to generate insights and support business technology initiatives.
ResearchFull-time
Key Responsibilities
- Key Responsibilities
- Develop ML models for process optimisation, prediction, and control , including yield, CQAs, aggregation, glycosylation, and impurity profiles.
- Digitially Improve AI driven bioprocesses
- Develop soft sensors and digital twins for real-time or near-real-time process monitoring.
- Replace or augment design of experiments (DOE) with ML-driven process optimisation .
- Perform model validation, versioning, and lifecycle management.
Requirements
- Perform feature engineering informed by bioprocess and product knowledge .
- Required Qualifications
- Strong programming skills in Python (e.g. scikit-learn, PyTorch, TensorFlow)
- Strong problem-solving and analytical skills