Postdoctoral Research Associate in Biotechnology and Biomolecular Sciences

Kensington, New South Wales, Australia
$89,051 - $95,248
23 Nov 2016
End of advertisement period
21 Dec 2016
Contract Type
Fixed Term
Full Time
  • UNSW is one of Australia’s leading research & teaching universities
  • Cutting edge facilities and equipment
  • Strong regional and global engagement
  • At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.

The School of Biotechnology and Biomolecular Sciences in the Faculty of Science is located at the Kensington campus in Sydney. It hosts the Systems Biology Initiative, which is Australia’s only dedicated centre for molecular systems biology. It has expertise in genomics / transcriptomics, proteomics and bioinformatics, which it combines to understand the molecular biology of the cell. It has specific expertise in the analysis of next-generation sequence data, in protein interaction networks and network biology. It has a wide range of scientific collaborators and is closely affiliated with the Ramaciotti Centre for Genomics. We invite applications for a Research Associate in bioinformatics, to work within this dynamic environment.

About the Role

  • Academic Level A (AUD $89,051 - $95,248 plus 9.5% superannuation p.a.)
  • Fixed Term for 12 months, with possibility of extension
  • Full-time (35 hours per week) or Part-time negotiable

You will be required to undertake collaborative bioinformatics research as part of a team, including with users of the Ramaciotti Centre for Genomics.  In addition, you will also prepare material for research publication and for presentation at conferences as well as prepare and present training material in the analysis of next-generation sequencing data.

To be successful in this role you will have:

  • PhD in bioinformatics or advanced data mining with a background in genomics, transcriptomics, network and/or systems biology
  • Proven ability to form and successfully execute collaborative bioinformatics research projects in a range of biological areas
  • Strong capacity to interpret ‘omics data to explain biological phenotype
  • High level of oral and written communication skills, including for research publications
  • Technical skills relevant to bioinformatics research (one or more of Perl, Python, Java, C, R and experience in statistical analysis and/or data mining)
  • Knowledge of health and safety responsibilities and a commitment to attend relevant health and safety training

You should systematically address the selection criteria listed within the position description in your application. Please apply online - applications will not be accepted if sent to the contact listed. 

Contact: Marc Wilkins, Professor
T: +61-2-9385-3633

Applications close:  3 January 2017 (AEDT)

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