Postdoctoral Machine Learning Engineer / Data Analyst, BTI

Requirements

• Job Summary We are seeking a Machine Learning Scientist/Engineer to develop and deploy data-driven models that improve biomanufacturing processes for recombinant proteins, mRNA, cell and gene therapies.
• The role focuses on applying ML to upstream and downstream process data, analytical datasets, and manufacturing systems to enhance yield, quality, robustness, and process understanding of therapeutics.
• Key Qualifications Machine learning and data analytics Develop ML models for process optimisation, prediction, and control , including yield, CQAs, aggregation, glycosylation, and impurity profiles.
• Apply supervised, unsupervised, and multivariate methods (e.g. neural networks, regression, classification, clustering, PCA/PLS, Bayesian models).
• Integrate omics, analytical (LC-MS, spectroscopy), and process data into unified modelling frameworks.
• Perform feature engineering informed by bioprocess and product knowledge .
• Biomanufacturing applications Digitially Improve AI driven upstream processes (e.g.
• CHO cell culture, fermentation, feeding strategies).