Göke Lab – Computational Transcriptomics @ GIS
Our main research focus is the large-scale analysis of gene expression (‘computational transcriptomics’). We apply state of the art technology at the GIS to study how the transcriptome reflects clinical and molecular phenotypes. We analyse large scale transcriptomics data from cell lines, patient samples, and organoid models using bulk RNA-Sequencing, single cell RNA-Sequencing, long read sequencing, and spatial transcriptomics. Projects involve methods development for new transcriptomics technology (single cell RNA-Seq, long read RNA-Seq), statistical modeling of biases in high throughput sequencing data, and integration of electronic health records with genomics data. Currently we are looking for a postdoctoral fellow to analyse Nanopore Long Read RNA-Sequencing data.
The Genome Institute of Singapore offers a competitive salary and a complete benefits package that ensures a very high living standard in one of the most modern cities in the world.
- PhD in Bioinformatics, Computer Science, Statistics, Genomics, or a related discipline.
- Good understanding of probability and statistics, strong programming skills, and experience in one or more of the following areas: transcriptome analysis, single cell genomics, cancer genomics.
- Publication record (first author publication)