Not specified (assumed hybrid based on research environment norms).
Phd in life sciences or related field
Proficiency in pytorch or tensorflow
Strong knowledge of chemistry and biology
A*STAR BII is seeking a computational scientist with expertise in life sciences, chemistry, and machine learning for drug discovery. The role focuses on developing a computational framework for epitope discovery, emphasizing both independent and collaborative work in a research-driven environment
Job Summary
The role involves developing a robust, integrated computational framework to identify and prioritize antigenic peptides.
Candidates must possess a PhD degree in life sciences, chemistry, computational biology, or biomedical engineering.
This position is funded by the SG Academies South-East Asia Fellowship (SASEAF) Programme.
Matching Summary
Match Score: 85
A*STAR BII is seeking a computational scientist with expertise in life sciences, chemistry, and machine learning for drug discovery. The role focuses on developing a computational framework for epitope discovery, emphasizing both independent and collaborative work in a research-driven environment.