Research Engineer: AI for RNA Drug Discovery & Modelling

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

A*STAR RESEARCH ENTITIES is seeking a motivated Research Engineer to develop and implement AI methods that support drug discovery for RNA targets. You will work with an interdisciplinary team to build computational tools for RNA structure modelling, molecular interaction prediction, and compound screening.

The role focuses on implementing ML models for RNA structure prediction, processing datasets of RNA sequences and chemical compounds, and training models on GPU hardware to accelerate

Qualifications

• Master's degree in Computer Science, Bioinformatics, Computational Biology, Computational Chemistry, or related discipline.
• Proficiency in Python and software development practices (version control, testing, documentation).
• Hands-on experience with ML/deep learning frameworks (PyTorch/TensorFlow).

Responsibilities

• Implement and optimise ML 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.

Skills

Python

PyTorch

TensorFlow

Data pipelines

Version control

Documentation

Education

Master's degree

Tools

Git

Job description

A*STAR RESEARCH ENTITIES is seeking a motivated Research Engineer to develop and implement AI methods that support drug discovery for RNA targets. You will work with an interdisciplinary team to build computational tools for RNA structure modelling, molecular interaction prediction, and compound screening.

The role focuses on implementing ML models for RNA structure prediction, processing datasets of RNA sequences and chemical compounds, and training models on GPU hardware to accelerate