Job Description

The successful candidate will work in the laboratory of Dr. Alexander Vinogradov (NUS Presidential Young Professor; lab website: https://vinogradov.science) on developing late-stage peptide modification strategies and utilizing them for drug discovery applications. Broadly, the project is dedicated to developing an mRNA display-compatible peptide cyclization and modification strategies. These strategies will be utilized for mRNA display-based discovery of cyclic peptides targeting proteins with high therapeutic potential. 

The main candidate will be responsible for:
• Design and conduct experiments in bio-organic chemistry, chemical biology, and biochemistry.
• Analyze experimental data, including using deep learning techniques (optional).
• Prepare research findings for publication in peer-reviewed journals and presentation at international conferences.
• Present oral research updates in group meetings and prepare periodic written updates.
• Contribute to maintenance of laboratory equipment.

Qualifications

Qualifications:
• PhD degree in one of the following areas: organic chemistry, peptide chemistry, combinatorial chemistry, chemical biology, bioorganic chemistry, or biological chemistry. 

Skills:
• Expertise in synthetic organic chemistry, including air-free techniques, syntheses in water, late-stage modification of complex compounds, peptide chemistry, including solid-phase peptide synthesis, analytical characterization, and peptide modification.
• Strong knowledge of fundamental organic and peptide chemistry.
• Understanding of combinatorial chemistry concepts and expertise in mRNA display or other genetically encoded combinatorial methods (yeast display, phage display, DELs) are not required but will be considered an asset.
• Expertise in analytical and biophysical techniques of peptides and small molecules (LC/MS, HPLC, UV-Vis spectroscopy, NMR).
• Excellent written and verbal communication skills.
• Ability to work both independently and collaboratively within a team.

Experience:  
• Candidates with at least 3-5 years’ experience in primary research. 
• PhD graduates without experience are welcome to apply.