Post Doctoral Fellow (EMULSION Programme – Computational Biologist)

Position Code: SC10326

We are looking to recruit a highly motivated and experience individual to take on the key role of managing and analyzing the clinical and Omics dataset generated in the program. EMULSION programme is a multi-institutional collaboration between Hospitals and research institutions that focuses on developing diagnostic and therapeutic solutions for fatty liver disease. Successful Candidate will be working full time in the Genome Institute of Singapore (GIS), A*STAR. More information on the program can be found in https://www.a-star.edu.sg/gis/Our-Science/EMULSION

The successful applicant will become the anchor computational biologist who manages and analyze the diverse data set generated in the EMULSION programme. This includes large scale transcriptomic datasets, lipid profiles and metabolites profiles of tissue samples derived from a unique Asian patient cohort. This includes dataset generated from in vitro organoid models and in vivo mouse models. The candidate will work closely with fellow wet lab scientist to discover potential disease biomarkers and NAFLD therapeutics target from this unique and large clinical and omics dataset. The candidate will also have an opportunity to lead a small team of Bio-informatics specialist and to interact with over 50 fellow Bio-informatics specialist working in different departments of the institute. This position would be an excellent opportunity for individuals to train and prove themselves as independent investigators.

Requirements :

  • PhD degree in Computational biology or Bioinformatics.
  • Experience in scripting and implementation of algorithms in programming languages including C/C++, Python, Java, R etc.
  • Good foundation in statistic and mathematics.
  • Experience in the use of NGS analysis tools.
  • Background in liver biology or experience in biology projects involving metabolic disease is a plus.
  • Co-authorships on peer-reviewed publications are preferred.

Interested candidates are invited to send a cover letter, curriculum vitae, and the contact details of at least three references to Chan Yun Shen Winston (chanysw@gis.a-star.edu.sg) or Ng Huck Hui (nghh@gis.a-star.edu.sg)

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice.

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