Research Assistant

National University of Singapore; Singapore; On-site; SGD 20,000 - 60,000; Full time

Job summary

A leading research institution in Singapore is seeking a motivated Research Assistant to conduct bioinformatic analyses of next-generation sequencing data, collaborate with researchers, and develop analysis pipelines. Candidates should have a degree in Computational Biology or related fields, proficiency in R and Python, and strong analytical skills. Join an interdisciplinary team dedicated to advancing research in cardiovascular and metabolic disorders.

Qualifications

• Strong foundation in statistical analysis and data interpretation.
• Ability to engage with bioinformatics tools and databases.
• Experience with RNA-seq and single-cell RNA-seq data analysis.

Responsibilities

• Perform tasks and support all aspects of the research project.
• Develop and maintain analysis pipelines and computational tools.
• Interpret data and generate visualisations for publications.

Skills

Statistical analysis

Data interpretation

Programming in R

Programming in Python

Molecular biology techniques

Team collaboration

Education

Bachelor’s or Master’s degree in a relevant field

Job description

Job Description

The Signature Research Programme in Cardiovascular and Metabolic Disorders at Duke-NUS is seeking a highly motivated Research Assistant trained in computational biology and statistics to perform bioinformatic analyses of next-generation sequencing (NGS) data, including bulk and single-cell RNAseq, spatial transcriptomics, and metabolomics.

Responsibilities

• Perform tasks and support all aspects of the research project.
• Develop and maintain analysis pipelines and computational tools.
• Interpret data and generate visualisations to support scientific publications and presentations.
• Collaborate with wet-lab researchers to integrate computational findings with experimental data.
• Assist with data management, documentation, and reproducibility practices.
• Stay current with relevant bioinformatics tools, databases, and literature.
• Perform other related duties incidental to the work described therein.

Job Requirements

• Bachelor’s or Master’s degree in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related field. Entry candidates may also be considered.
• Strong foundation in statistical analysis and data interpretation.
• Proficiency in programming languages such as R and Python.
• Ability to carry out basic molecular biology techniques related to library cloning and NGS library construction is highly desirable.
• Experience and knowledge in RNA-seq and single-cell RNA-seq data analysis, including the use of pipelines such as Seurat.
• A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

We regret that only shortlisted candidates will be notified.