Bioinformatician (RP Lab), IMCB

A*STAR - Agency for Science, Technology and Research; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

IMCB, a premier research institute under A*STAR, seeks a Scientist/Senior Scientist to join the Patani lab as a bioinformatician/computational biologist focusing on RNA metabolism in ALS.

You will work on RNA-seq data from scratch, investigate splicing and post-transcriptional mechanisms, and collaborate with wet lab scientists from experimental design to validation. The candidate reports to Prof. Patani and will contribute to key projects advancing understanding of glia in ALS.

Qualifications

• Demonstrable prior experience with a programming language (Python/R; other languges welcome; Required)
• Demonstrable experience working in a research environment conducting rigorous/thorough investigations (Required)
• Prior experience working with RNA sequencing data from scratch (Required)
• Prior experience investigating splicing and/or post-transcriptional mechanisms of disease (Required)
• Some knowledge of statistics (Desired)
• Some knowledge/interest in molecular biology and neuroscience (Desired)
• Experience working in a HPC environment (Desired)

Responsibilities

• Collaborate with wet-lab scientists from experimental design through validation.

Skills

Python

R

RNA sequencing

Splicing analysis

Statistics

Molecular biology

Neuroscience interest

HPC

Tools

High Performance Computing (HPC)

Job description

Short Description

The Institute of Molecular and Cell Biology (IMCB) is a research institute under Singapore’s Agency for Science, Technology and Research (A*STAR). IMCB conducts fundamental and translational biomedical research across areas including neuroscience, cell biology, disease modelling and therapeutic discovery. The institute provides a collaborative environment with access to multidisciplinary expertise, advanced research platforms and partnerships across academia, healthcare and industry.

We are looking for a Scientist/Senior Scientist to join as a Bioinformatician/computational biologist interested in RNA metabolism in the Patani lab at A*STAR IMCB. The Patani lab has played a pioneering role in neurodegenerative disease modelling focused on ALS using human patient derived iPSCs neuronal cultures. With the beginning of this new chapter in A*STAR, the lab is looking for a bioinformatician/computational biologist to join the group. The candidate will report directly to Prof. Patani.

Beyond the dry lab personnel, the lab currently will comprise wet lab scientists with whom the candidate is expected to collaborate closely. This means that the candidate has the opportunity to be involved in projects starting from experimental design through to target prioritisation, validation and mechanistic deconvolution.

The candidate will have the opportunity to develop key projects focused on the role of glia in ALS, and specifically on the role of deregulated RNA metabolism in motor neuron disease (ALS), where the lab has published some key papers (for example: Luisier et al Nature Communications 2018; Tyzack et al Brain 2021; Ziff et al Nature Communications 2023; Ziff et al Neuron 2023; Neeves et al Science Advances 2025) and reviews (for example: Petrić Howe et al Trends in Neuroscience 2023; Patani et al Nature Reviews Neurology 2023; Balendra et al Lancet Neurology 2025).

The specific details for the candidate's own projects will be developed in close discussion with Prof. Patani.

Requirements

• Demonstrable prior experience with a programming language (Python/R; other languges welcome; Required)
• Demonstrable experience working in a research environment conducting rigorous/thorough investigations (Required).
• Prior experience working with RNA sequencing data from scratch (Required).
• Prior experience investigating splicing and/or post-transcriptional mechanisms of disease (Required).
• Some knowledge of statistics (Desired).
• Some knowledge/interest in molecular biology and neuroscience (Desired).
• Experience working in a HPC environment (Desired).