Long read sequencing has the promise to overcome some of the key limitations of short read sequencing technologies. Long read sequencing allows the quantification of full length transcripts and enables direct RNA sequencing without amplification. The group of Jonathan Goke is looking for a postdoctoral fellow to develop algorithms and analyse high throughput, long read transcriptomics data. This project is part of the Singapore Nanopore-Expression Project that involves generation of direct RNA-Seq data from cancer cell lines and cancer patient samples.
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 programming skills and experience in one or more of the following areas: algorithms development, transcriptome analysis, Nanopore RNA-Sequencing, cancer genomics, machine learning.
- Publication record with a first author publication
- Good communication skills in written and spoken English
About the Genome Institute of Singapore
The Genome Institute of Singapore (GIS, A*STAR) is the national flagship program for genomic science in Singapore. GIS hosts the largest collection of sequencing machines in Singapore and uses all Nanopore sequencing platforms (MinION, GridION, and PromethION). More than 30 computational and experimental research groups work at GIS. You can find out more about the Genome Institute of Singapore online: https://www.a-star.edu.sg/gis/
Singapore is a city-state with one of the highest standards of living in the world seeking to become an international hub for the biomedical sciences. Singapore is a vibrant, tropical city, with rich Asian heritage and modern style of living, an ideal gateway to explore Asia, providing a unique experience and an excellent quality of life.
Contact and further information
More information about the Goke lab including recent publications can be found online: https://www.jglab.org/
For inquiries or to apply, please email your CV and a short introduction about yourself, your past research experience and your future research interests to Jonathan Goke (firstname.lastname@example.org).