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Centre for Immunology & Infection Limited invites applications for a Research Assistant I in the Program 1 of Centre of Immunology & Infection. The role is a one-year temporary position or two-year fixed-term, with renewal possible subject to performance.
The successful candidate will work on multi-omics big data analyses in immunology and genomics. The candidate should have a Bachelor's degree in Biological Sciences, Bioinformatics, Biomedical Sciences, Computational Biology, or a related
Centre for Immunology & Infection Limited View all jobs
Applications are invited for appointment as Research Assistant I in the Program 1 of Centre of Immunology & Infection to commence as soon as possible on a one-year temporary basis or two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and mutual agreement. The successful candidate will contribute to cutting-edge projects involving multi-omics big data analysis, with a focus on immunology, genomics, and translational biomedical research.
Bachelor’s degree in Biological Sciences, Bioinformatics, Biomedical Sciences, Computational Biology, or a related discipline
A Master’s degree in a relevant field is preferred
Proficiency in programming languages such as R, Python, or similar tools for data analysis
Experience with biological data analysis, including genomics, transcriptomics, proteomics, or clinical datasets
Familiarity with statistical analysis methods and data visualization techniques
Experience with relevant bioinformatics tools, databases, and pipelines
Strong understanding of biological systems and experimental design
Experience in handling large-scale datasets (e.g., sequencing or cohort data)
Knowledge of data cleaning, quality control, and interpretation of results
Prior experience in research, clinical studies, or translational research projects is an advantage
Strong analytical and problem-solving skills
Good communication skills to present complex findings to non-technical audiences
Ability to work independently and collaboratively in multidisciplinary teams
Strong organizational and time-management skills
Analyze and interpret biological and clinical datasets using appropriate statistical and computational methods
Perform data preprocessing, quality control, and validation of datasets
Identify patterns, trends, and insights to support research objectives
Develop, implement, and maintain analysis pipelines for high-throughput biological data
Utilize bioinformatics tools to analyze genomic, transcriptomic, Immunophenotype or other omics data
Ensure reproducibility and documentation of analysis workflows
Collaborate with scientists, clinicians, and project teams to support experimental design and data interpretation
Contribute to the preparation of reports, publications, and presentations
Assist in integrating multi-omics or longitudinal datasets where applicable