Researcher - Machine Learning/Data analyst (BTI)

Agency for Science, Technology and Research (A*STAR)

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Job Description

Key Responsibilities

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 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.

Deployment and validation

Collaborative environment

Work closely with process scientists, analytical scientists, engineers, and quality teams.
Clearly communicate model assumptions, limitations, and impact to non-ML stakeholders.

Required Qualifications

BSc or MSc in Machine Learning, Data Science, Chemical/Biochemical Engineering, Bioinformatics, Systems Biology, or related field.
Strong programming skills in Python (e.g. scikit-learn, PyTorch, TensorFlow)
Solid understanding of statistics, experimental design, and model validation.

Key Competencies

What We Offer

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