Computational Biologist (CDH)

Singapore National Eye Centre; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

The Singapore National Eye Centre seeks a Research Fellow (Computational Biologist) for its Cancer Discovery Hub. This role involves managing and analyzing NGS data, preparing research publications, and leading impactful projects in translational oncology. Ideal candidates have a PhD and experience in bioinformatics and genomic analysis.

Qualifications

• PhD required in relevant fields.
• Proficiency in handling NGS data.
• Knowledge in multi-omics and statistical analysis.

Responsibilities

• Perform data management and analysis of NGS data.
• Prepare research publications and grant applications.
• Support laboratory needs and ancillary activities.

Skills

NGS data handling

Unix based OS

Data analysis with R

Data analysis with Python

Statistical analysis

Biological data interpretation

Prediction models

Dimensionality reduction

Education

PhD in Bioinformatics, Genomics, Maths, Physics or related fields

Tools

10X Genomics

BGI Stereo-seq

Bioinformatics tools/software/pipelines

Job description

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National Cancer Centre of Singapore Pte Ltd

Computational Biologist (CDH)

Job Category: Research

Posting Date: 23 Apr 2025

We are recruiting a Research Fellow (Computational Biologist) at the Cancer Discovery Hub, National Cancer Centre Singapore.You will be involved in various “omics” projects based on Next Generation Sequencing, single-cell technologies, as well as spatial profiling. You will be required to perform data management, extraction, mining and analysis of NGS data, and preparation of research publications/grant applications, and expected to lead highly impactful projects in translational oncology and cancer science.

Your responsibilities will include:
- Perform data management, extraction, mining and analysis of Next Generation Sequencing data.
- Preparation of research publications/grant applications.
- Assist with general upkeep of laboratory needs, provide technical support and establish work procedures to ongoing research projects. Support all ancillary activities of the lab including fund raising, education and philanthropy efforts.

Requirements:
- PhD in Bioinformatics, Genomics, Maths, Physics or other related fields with proficiency with NGS data handling.
- Comfortable with Unix based OS in a High Performance Computing Cluster (HPCC).
- Comfortable with exploration/analysis/visualization of genomic data with R/Python.
- Preprocessing and analysis of multi-omics sequencing data using available bioinformatics tools/software/pipelines.
- Knowledge in analyzing single-cell and spatial omics data will be required (e.g. 10X Genomics, BGI Stereo-seq).
- Knowledge of statistical test/analysis, clinical/biological data interpretation.
- Knowledge in development of prediction models, dimensionality reduction techniques associated with analysis of high-dimensional cancer-omics data.
- A highly motivated individual displaying strong interest in cancer pan-omics and translational cancer research.
- Versatile individual with willingness to learn, good interpersonal skills and a team player.- Preprocessing and analysis of multi-omics sequencing data using available bioinformatics tools/software/pipelines.
- Knowledge in analyzing single-cell and spatial omics data will be required (e.g. 10X Genomics, BGI Stereo-seq).
- Knowledge of statistical test/analysis, clinical/biological data interpretation.
- Knowledge in development of prediction models, dimensionality reduction techniques associated with analysis of high-dimensional cancer-omics data.
- A highly motivated individual displaying strong interest in cancer pan-omics and translational cancer research.
- Highly motivated individual with willingness to learn.