Scientist, AI/ML for Drug Discovery

We are looking for a highly motivated computational scientist with a deep understanding of chemistry and biology to develop a robust, integrated computational framework that combines clinical severity data, immunoinformatics predictions, and structural analysis to identify and prioritise antigenic peptides. The goal is to create an accessible, user-friendly computational tool that enhances the accuracy of epitope discovery. This position is funded by the SG Academies South-East Asia Fellowship (SASEAF) Programme.

Job Requirements

• PhD degree in life sciences, chemistry, computational biology, biomedical engineering, or a related discipline
• Passion for science and research
• Highly motivated
• Proficiency in the use of machine learning frameworks (e.g. PyTorch, TensorFlow)
• Strong knowledge of chemistry and biology
• Able to work independently and as part of a team
• Excellent written and oral communication skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.