Editorial summary

The company seeks a highly motivated scientist to join its team at A*STAR IMCB, Singapore, to work on DNA-encoded library screening and molecular glue discovery. The role spans experimental science, data analysis, and drug discovery, including conducting DEL screens, analysing sequencing data, prioritising compounds, and validating hits using biochemical, biophysical, and cellular assays. Key requirements include experience with DEL screening, next-generation sequencing data analysis and visualisation, and strong hands-on lab skills. The position offers a monthly salary of SGD 9,500.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/scientist-ls-lab-imcb-3341-39977 first appeared in Job-Q.com on 25 Oct 2026]

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.

🔎 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

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

💼 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

📧 To apply, please email your CV and a brief description of your relevant data analysis and wet-lab experience to Dr Shuang Liu at .

Only shortlisted candidates will be contacted for interviews.

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