Scientist (LS lab), IMCB

A*STAR - Agency for Science, Technology and Research; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

A*STAR IMCB invites a motivated scientist to join the LIUS Lab in Singapore to work on DNA-encoded library screening and molecular glue discovery. You will operate at the interface of experimental science, data analysis and drug discovery, performing DEL screens, sequencing data analysis and validating hits across biochemical, biophysical and cellular assays.

The role emphasizes collaboration across disciplines, with training provided for areas where experience is limited, in a forward-looking

Qualifications

• Bachelor’s degree or higher in a relevant field.
• Proficiency in Python and R for data analysis.
• Wet-lab experience in biochemical, biophysical or cellular experiments.
• Strong understanding of chemistry and chemical structures.
• Interest in combining experimental and computational approaches to drug discovery.

Responsibilities

• Perform DNA-encoded library (DEL) screening.
• Analyse sequencing data and visualise results.
• Prioritise compounds based on data and assay readouts.
• Validate selected hits using biochemical, biophysical and cellular assays.
• Collaborate with team across experimental and computational domains.

Skills

Wet-lab techniques

Data analysis

Interdisciplinary collaboration

Drug discovery mindset

Education

BSc/MSc/PhD in Chemistry, Chemical Biology, Biochemistry, Biophysics, Biology or related field

Tools

Python

R

Sequence data analysis tools

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.

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

• BSc, MSc or 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