Bioinformatics Specialist

7 days ago

Singapore SingHealth Group Full time

National Cancer Centre of Singapore Pte Ltd**Bioinformatics Specialist (DSSOPC)**:

- Job Category: Research- Posting Date: 6 Dec 2024The incumbent will work as part of an established and nationally funded multi-disiplinary research group that focuses on hepatocellular carcinoma and other cancers. You will be involved in a large-scale international translational and clinical study on HCC, which utilizes various types of patient biosamples and employs multi-omics approaches including bulk tumor next-generation sequencing (NGS), cfDNA NGS, single cell RNAseq and proteomics, CyTOF, 3D spatial transcriptomics and targeted/untargeted metabolomics in the context of a clinical cohort. Experience with conducting spatial transcriptomics analyses is a must. The incumbent will also be expected to work within a sandbox environment using AWS.
- Your responsibilities will include:

- Multi-omics integrative bioinformatics analyses to establish the pipelines and run the analyses independently.
- Work within sandbox environment, secure, cloud environment to facilitate cross-institutional collaboration.
- Conceptualise research projects with PI and able to lead discussion across stakeholders.

**Requirements**:

- PhD degree in Computational Biology or a quantitative background (e.g. Statistics, Physics, Engineering), or Biomedical-related disciplines with a strong evidence of genomics computational experience.
- Experience with large-scale bioinformatics analysis (including, but not restricted to NGS, single cell sequencing, cfDNA analysis, survival analysis and disease modelling).
- Experience with conducting spatial transcriptomics analyses as follows but not limited to:

- Image analysis using tools such as Fiji, Imaris, and QuPath.
- Analyzing spatial transcriptomic data with tools including Seurat, Scanpy, Squidpy, LisaCLust, stLearn, SCDNEY, GPTcelltype, SingleR, scPred, and InSituType.
- Performing gene expression and pathway analysis on sequencing data, including bulk RNA-seq and single-cell RNA-seq, as well as sourcing and integrating publicly available sequencing datasets.
- Developing custom computational pipelines for spatial data analysis.
- Proficient in R (tidyverse, ggplot, bioconductor) or Python (pandas, NumPy, Scikit-learn) and good knowledge of Unix shell.
- Knowledge with high performance computing (HPC) and cloud computing (AWS) will be an advantage.
- Experience and knowledge in database management and data architecture will be an advantage.
- Possess excellent analytical, technical and problem-solving skills
- Well organized and detail oriented.
- Pleasant personality and be able to work with diverse groups of people.
- Excellent written and verbal communication skills.
- Good team worker and fast learner.

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