NATIONAL UNIVERSITY OF SINGAPORE

Research Fellow, Cancer Science Institute

Location
Singapore
Posted
15 Jul 2021
End of advertisement period
14 Aug 2021
Ref
4204744
Contract Type
Permanent
Hours
Full Time

Job Description

The position of Postdoctoral Fellow (PDF) -- with an emphasis on computational cancer genomics -- is immediately available at The Cancer Science Institute of Singapore (a part of The National University of Singapore). The postholder will work with the laboratories of Prof. Ashok Venkitaraman, Dr. Jason Pitt and Prof. Touati Benoukraf on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The postholder will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (eg., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Prof. Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Qualifications

A PhD in a relevant field, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

  • PhD in human genetics, genomics, bioinformatics, computer science, or related fields
  • Firm understanding of the principles of clonal evolution
  • Experience analyzing DNA sequencing data
  • Strong Python and/or R programming skills
  • Proficient with standard statistical analyses
  • Strong publication record
  • Excellent written and spoken English

PREFERENCES

  • Experience using Amazon Web Services
  • Proficiency with Unix-based systems
  • Experience with collaborative software development via github/gitlab

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