Postdoctoral Fellow: Algorithms for long read transcript quantification (posted: 16/08/2017)
Long read sequencing technology is about to change genomics. Unlike the short read sequencing based technologies, long read sequencing enables the direct quantification of full length transcripts, without amplification. As the technology is still in an early phase, there are only few algorithms available to study long read transcriptomics data. The group of Jonathan Göke is searching for a postdoctoral fellow to develop algorithms for high throughput, long read transcriptomics data, and to lead a project on transcript diversity in cancer.
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: algorithms development, transcriptome analysis, single cell genomics, cancer genomics, machine learning.
- Publication record with a first author publication
- Excellent academic grades and very 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 programme for genomic science in Singapore. GIS hosts the largest collection of sequencing machines in Singapore, it has a compute cluster with more than 6,000 CPUs and more than 3 PB storage capacity, and a direct high-speed connection to the National Supercomputing Center Singapore.
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 Göke lab including recent publications can be found online: https://jglab.org/
For inquiries or to apply, please email your CV, transcript of records, and a short introduction about yourself, your past research experience and your future research interests to Jonathan Göke (firstname.lastname@example.org).