A*STAR Research Entities is seeking a motivated computational scientist with expertise in chemistry and biology to develop a computational framework for antigenic peptide discovery. The ideal candidate should possess a PhD in life sciences or a related field, have experience with machine learning frameworks, and demonstrate excellent communication skills
Job Summary
The role involves developing a robust, integrated computational framework to identify and prioritize antigenic peptides.
This position is funded by the SG Academies South-East Asia Fellowship (SASEAF) Programme.
The successful candidate will create an accessible, user-friendly computational tool to enhance epitope discovery accuracy.
Matching Summary
Match Score: 85
A*STAR Research Entities is seeking a motivated computational scientist with expertise in chemistry and biology to develop a computational framework for antigenic peptide discovery. The ideal candidate should possess a PhD in life sciences or a related field, have experience with machine learning frameworks, and demonstrate excellent communication skills.
Skills & Requirements
Must-have
PhD in life sciences or related field
Proficiency in PyTorch or TensorFlow
Strong knowledge of chemistry and biology
Experience with immunoinformatics predictions
Nice-to-have
Passion for science and research
Ability to work independently
Excellent written communication skills
Team collaboration experience
Key Requirements
PhD degree in life sciences, chemistry, or computational biology
Proficiency in machine learning frameworks like PyTorch or TensorFlow