Scientist, Laboratory Of Metagenomic Technologies & Microbial Systems (Gis)

OverviewAgency for Science, Technology and Research – QueenstownThe Nagarajan Lab is based in the Genome Institute of Singapore (GIS) which is the national flagship program for genomic sciences in Singapore with a mission to use genomics to improve public health and national prosperity.We are seeking passionate scientists who wish to develop innovative methods in the metagenomic assembly field.

Our lab focuses on leveraging new technologies to better study microbial populations and their impact on human health.

We have extensive experience in metagenomic analysis and have developed several widely used tools in this field.

We are now focusing on new methods to obtain a comprehensive catalogue of complete genomes at the strain level from metagenomic samples, which can be further leveraged for comparative genomic analysis.The successful candidate will have the opportunity to work in a highly interdisciplinary environment, with access to next-generation sequencing technologies and a wide range of samples.

Solutions developed during this project will have direct applications to ongoing and new microbiome research projects in the lab, particularly in studying antimicrobial resistance and skin diseases.

ResponsibilitiesDevelop innovative methods in the metagenomic assembly field.Leverage new technologies to study microbial populations and their impact on human health.Contribute to metagenomic analysis and related tool development used in the lab.Obtain a comprehensive catalogue of complete genomes at the strain level from metagenomic samples for downstream comparative genomic analyses.Collaborate in an interdisciplinary environment and work with next-generation sequencing data and diverse sample sets.Contribute to microbiome research projects with applications to antimicrobial resistance and skin diseases.

QualificationsPhD in Computational Biology, Computer Science, Electrical Engineering / Genomics.Strong analytical and programming skills (Python, C++, UNIX environment).

Candidates with significant experience in assembly algorithms will be strongly preferred.

Why Join UsWork in a highly interdisciplinary and dynamic research environment.Access to state-of-the-art sequencing technologies and diverse sample collections.Opportunity to contribute to impactful research with direct applications to public health.Internationally competitive remuneration and relocation assistance.

How To ApplyPlease e-mail cover letter, research statement, curriculum vitae, and contact details of at least three referees to Niranjan Nagarajan (

• ) and Jean-Sebastien Gounot (

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