Job Title: Research Assistant/Associate (Bioinformatics - Dept of Medicine)
University-Level Unit: Yong Loo Lin School of Medicine
Faculty/Department-Level Unit: Medicine
Employee Category: Research Staff
Location_ONB: Kent Ridge Campus
Posting Start Date: 11/02/2026
Overview
Job Description
Dr. Mark Muthiah's Metabolic Liver Disease Research Lab at the National University of Singapore (NUS) is seeking smart, motivated bioinformatics and data analytics researchers to support computational and translational research in metabolic liver diseases. This role is primarily computational and data-driven, focusing on the analysis and integration of large-scale multi-omics and clinical datasets.
The successful candidate will have strong mathematical intuition, solid programming skills, and an interest in biological and biomedical data analysis. The position offers close mentorship, intensive research training, and strong consideration for PhD enrolment at NUS for outstanding candidates.
Key Responsibilities
- Perform bioinformatics analyses of high-throughput datasets including bulk RNA-seq, single-cell and spatial transcriptomics, WGS/WES, and GWAS
- Design and implement reproducible bioinformatics pipelines and workflows
- Apply statistical and computational methods to analyse omics and clinical datasets
- Integrate multi-omics and clinical data to generate biologically meaningful insights
- Conduct data quality checks and ensure data integrity
- Generate publication-quality figures and analytical reports
- Collaborate closely with biologists, pathologists, clinicians, and hepatologists
Qualifications
- Bachelor's or Master's degree (or near completion) in Bioinformatics, Computational Biology, Computer Science, Data Science, or a related field
- Proficiency in R and Python for bioinformatics analysis, statistical modelling, and visualization
- Strong hands-on experience with omics data analysis, with expertise in several (if not all) of the following: bulk RNA-seq, single-cell transcriptomics, spatial transcriptomics, WGS/WES, and GWAS
- Solid understanding of biostatistical methods, including linear, logistic, and Cox regression, correlation analysis, and clustering
- Experience working in Linux/Unix environments
- Strong analytical skills, attention to detail, and ability to independently analyse and interpret complex datasets
- Ability to communicate findings clearly and work effectively in a collaborative, multidisciplinary research environment
Preferred Qualifications
- Experience or strong interest in machine learning and AI, including XGBoost, CatBoost, CNNs, object detection, and image segmentation
- Experience working with clinical tabular datasets and integrating clinical and omics data
- Willingness to learn clinical concepts and biomedical context
- Experience with reproducible research practices, workflow management, or version control
- Knowledge of metabolism, liver biology, or translational biomedical research
- Experience with large datasets, databases, or SQL
- Prior research outputs (e.g., thesis work, preprints, or publications)
More Information
Location: Kent Ridge Campus
Organization: Yong Loo Lin School of Medicine
Department : Medicine
Employee Referral Eligible: No
Job requisition ID : 31754
