Job Description The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman 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 Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., 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 Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets. Please refer to this link for more information on Professor Ashok Venkitaraman’s research. Interested applicants should include the following documents in the job application: Curriculum Vitae (CV)Summary of past research experience Description of long-term plans At least 3 referees including their name, contact information (email), and relationship to the applicant Qualifications The applicant for this position should possess a Ph D in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications. The required expertise in computational biology listed below is essential. Experience in the methods to be used in the project is desirable. 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 PREFERENCESExperience using Amazon Web Services Proficiency with Unix-based systems Experience with collaborative software development via Git Hub/Git Lab
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