Scientist (LS lab), IMCB (3341)

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

A*STAR IMCB invites applications for a scientist to join our DEL screening and molecular glue discovery project. The role bridges experimental science, data analysis, and drug discovery, involving DEL screens, sequencing data analysis, and hit validation through biochemical and cellular assays.

Training will be provided for areas where experience is limited, and the successful candidate will work across both wet-lab experiments and computational analyses in a collaborative team setting.

Qualifications

• PhD in Chemistry, Chemical Biology, Biochemistry, Biophysics, Biology, Bioinformatics or related field.
• Working knowledge in Python and R to analyse large data sets.
• Wet-lab experience in biochemical, biophysical or cellular experiments.
• Good understanding of chemistry and chemical structures.
• Interest in working across both experimental and computational aspects of drug discovery.

Responsibilities

• Conduct DNA-encoded library screening.
• Analyse sequencing data and visualise results.
• Prioritise compounds and validate hits using biochemical, biophysical and cellular assays.

Skills

Python

R

Wet-lab experience

ComputationalDrugDiscovery

Education

PhD in Chemistry or related field

Job description

Job Description

We are seeking a highly motivated scientist to join our team (www.liuslab.com) at A*STAR IMCB, Singapore, to work on DNA-encoded library (DEL) screening and molecular glue discovery.

The successful candidate will work at the interface of experimental science, data analysis and drug discovery. The role will involve conducting DEL screens, analysing sequencing data, prioritising compounds, and validating selected hits using biochemical, biophysical and cellular assays.

Training will be provided in areas where the candidate has less prior experience.

Key areas:

• DNA-encoded library screening
• Next-generation sequencing data analysis and visualisation
• Cheminformatics and chemical structure analysis
• Recombinant protein expression and purification
• Biochemical, biophysical and cellular validation of selected compounds

Requirements:

• PhD in Chemistry, Chemical Biology, Biochemistry, Biophysics, Biology, Bioinformatics or a related field
• Working knowledge in Python and R to analyse large data sets
• Wet-lab experience in biochemical, biophysical or cellular experiments
• A good understanding of chemistry and chemical structures
• An interest in working across both experimental and computational aspects of drug discovery

Experience in one or more of the following areas would be advantageous but is not essential:

• DNA-encoded library screening or data analysis
• Recombinant protein expression and purification
• Biophysical assays
• Cancer biology
• Induced-proximity therapeutics
• Machine learning or statistical modelling