Research Engineer, Centre for Frontier AI Research, IAIC
Core
Develop and implement AI methods to support drug discovery for RNA targets, including RNA structure modelling and molecular interaction prediction.
Role type
Research Engineer (AI for Drug Discovery)
Builds
Computational tools for RNA structure modelling, molecular interaction prediction, and compound screening
Domain
Biotechnology / Computational Biology / Drug Discovery
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, GPU computing, data processing pipelines, model evaluation, scientific dataset handling
Preferred skills
RNA structure knowledge, cheminformatics, molecular modelling, language models, graph neural networks, chemical probing data (SHAPE/DMS), high-performance computing clusters
Technologies
PyTorch, TensorFlow, GPU
Responsibilities
Implement and optimise machine learning models for RNA structure prediction and RNA-small molecule interaction modelling; Develop data processing pipelines for RNA sequences, structures, chemical compounds, and experimental measurements; Train, fine-tune, and evaluate models using GPU computing resources; Support computational screening and prioritisation of compounds for experimental validation; Collaborate with researchers to integrate experimental results into computational workflows; Maintain reproducible code, technical documentation, and model evaluation pipelines
