Toa Payoh - Research Officer, Laboratory of Metagenomic Technologies & Microbial Systems,GIS

apartmentAgency for Science, Technology and Research placeToa Payoh scheduleFull-time calendar_month 
We are looking for a motivated bioinformatics specialist who is keen on studying how microbes contribute to common skin diseases such as eczema and acne. Our lab is focused on leveraging new technologies to better study microbial populations and their impact on human health.
We have extensive experience in metagenomic analysis in clinically or commercially important contexts such as uncovering distinct microbial communities in households affected by paediatric eczema (PMID: 35318044) and revealing the microbial basis of body odour in teenagers (PMID: 30497517).
We are now focusing on applying various -omics capabilities to larger sized disease cohorts to understand how microbial pathways and biomarkers change with disease progression and treatment. The successful candidate will have the opportunity to work in a highly interdisciplinary environment, with unique access to next-generation sequencing technologies and a wide range of samples.

Project findings will have direct applications to ongoing and new microbiome research projects in the lab, particularly in skin diseases.

The 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. Singapore is a highly cosmopolitan city-state at the cross-roads of Asia with one of the highest standards of living in the world.

The GIS provides an internationally competitive remuneration package and relocation assistance.

Requirements:

  • Bachelors degree in Computational Biology, Computer Science, Data Science, or a related field.
  • Strong analytical and programming skills (Python, R, UNIX environment etc).
  • Familiarity with Bioinformatics tools for RNA seq analysis and pipeline building will be useful.
  • Interest in exploring biological questions and some course work in statistics is preferable.

How To Apply: Please e-mail your curriculum vitae and contact details of referees to Niranjan Nagarajan ([email protected]) and Minghao Chia ([email protected])

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