We are looking for a highly motivated Research Officer to join an interdisciplinary team to work on AI guided discovery of cell permeable peptide therapeutics. This project focuses on developing cell-permeable cyclic peptides that target intracellular protein-protein interactions (PPIs), a key component in disease related pathways such as cancer and metabolic disorders. A core challenge in peptide drug discovery is improving membrane permeability. This project integrates structural modeling, machine learning, and experimental validations to address this. The ideal candidate will contribute to peptide structure curation, AI model development, and the creation of a web-based platform for data sharing.

Key Responsibilities:

• Perform structural modeling of peptides and peptide-protein complexes.
• Curate datasets from literature and structural data sources.
• Assist in the development and training of machine learning models for predicting membrane permeability.
• Build and maintain a web server for curated datasets and prediction tools.
• Coordinate with experimental groups for validations.
• Participate in regular project meetings and contribute to report writing and data summaries.

Job Requirements:

• Bachelor's degree or equivalent in bioinformatics, chemical engineering, biomedical engineering, computational biology, computational chemistry, or a related discipline.
• Understanding of structural biology and biomolecular modeling.
• Proficient in Python or other relevant programming languages.
• Familiar with web server development.
• Strong communication and organizational skills.
• Self-motivated, proactive, and capable of working independently as well as in a team.

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.