Machine Learning And Ai Specialist-associate Principal Scientist
AstraZeneca
Beijing, China
Machine learning and ai methods
Graph neural networks, transformers
Python, pytorch, tensorflow
Implement AI architectures for prediction of properties and 3D structures of small and large molecules complexes
Job Summary
Implement AI architectures for prediction of properties and 3D structures of small and large molecules complexes.
Operate in a collaborative environment with other specialists in China and globally within R&D, and you’ll be encouraged to publish and present your work at leading conferences.
Contribute to a vibrant community of scientists pioneering computer-aided drug design – and have the platform to publish, present, and shape the next wave of innovation.
Matching Summary
Implement AI architectures for prediction of properties and 3D structures of small and large molecules complexes.
Skills & Requirements
Must-have
Machine learning and AI methods
Graph neural networks, transformers
Python, PyTorch, TensorFlow
Scalable cloud/cluster pipelines
Protein co-folding and prediction
Nice-to-have
Drug discovery environment experience
Large-scale cloud computing
Database and data warehousing
Workflow orchestration and MLOps
Key Requirements
PhD or equivalent experience
Expert Python proficiency
Experience with ML/deep learning algorithms
Practical AI/ML experience in chemical/protein structure