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Researcher - Machine Learning/Data analyst (BTI)
A*STAR - Agency for Science, Technology and Research
3.0
28 reviews
Job Type / Job Level
Full-time / Others/Any
Company Location
Singapore
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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
Translate models into production-ready tools (Python/R, APIs, dashboards).
Perform model validation, versioning, and lifecycle management.
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
Modelling mindset
Strong problem-solving and analytical skills
Excellent communication across disciplines in English
What We Offer
Opportunity to apply ML to real-world, high-impact manufacturing challenges
Collaborative environment at the interface of AI, biology, and engineering
Exposure to cutting-edge therapeutics and advanced manufacturing platforms
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