First listed on: 10 January 2018

Research Scientist in Computational & Systems Biology

  • Apply your expertise in Computational biology & Biological systems modelling
  • Provide data modelling support across several research projects
  • Join CSIRO's Synthetic Biology Future Science Platform (SynBio FSP)

The Position

The Synthetic Biology FSP (SynBioFSP) is developing a research portfolio which will be spread across CSIRO and a wide variety of partner organisations (universities, industry, NGOs, other research organisations, etc.), both national and international. The research portfolio is dynamic and will evolve over time on the basis of strategy and performance. Research projects will sit within one or more priority Application Domains (Environment & Biocontrol, Chemicals & Fibres, Organelles & Endosymbionts) and one or more Science Domains (Integrative Biological Modelling, Engineering Novel Biological Components, Assembling Novel Biosystems, Maximising Impact). The SynBio FSP will embed a social and behavioural science agenda to address issues around social licence to operate.

In this position, you will provide systems biology and data modelling support across two research projects, one on the in-vitro resynthesis of the lichen symbiosis and the other on the design of biorthogonal redox metabolic pathways in yeast and E. coli.

Specifically you will:

  • Incorporate novel approaches to scientific investigations by adapting and/or developing original concepts and ideas for new, existing and further research.
  • Analyse and integrate large omics datasets, including genomics, transcriptomics, proteomics and metabolomics.
  • Use omics data for metabolic and regulatory network modelling.
  • Provide bioinformatics support.

Location:      Black Mountain, ACT
Salary:          AU $95k - AU $103k plus up to 15.4% superannuation
Tenure:         Specified term of 3 years
Reference:    53111

To be successful you will need:

  • A doctorate and or equivalent research experience in computational biology, systems biology, biological systems modelling, or a relevant discipline area.
  • Demonstrated technical capability in analysing complex omics data, including transcriptomics, proteomics, and metabolomics; including differential analysis of multivariate datasets using common software tools.
  • Previous experience with systems biology approaches to integrating ‘omics datasets into biological pathways/networks, i.e. biological network modelling (interrogation of KEGG and other databases, integration of transcriptome, proteome and metabolome into metabolic and regulatory pathways, etc.).
  • An understanding of wet lab experimental design requirements and wet lab experimental execution constraints for appropriate ‘omics dataset development and a demonstrated high level of collaboration with experimental biologists.
  • Strong written and oral communication skills including the ability to publish research results, prepare reports and present the results of scientific investigations at national and international conferences and stakeholder meetings.
  • A history of professional and respectful behaviours and attitudes in a collaborative environment.
  • A solid record of publication in quality, peer reviewed journals with an output commensurate with opportunity.

Who we are: The Commonwealth Scientific and Industrial Research Organisation (CSIRO)

At CSIRO, we do the extraordinary every day. We innovate for tomorrow and help improve today – for our customers, all Australians and the world. We imagine. We collaborate. We innovate.

We work flexibly at CSIRO, offering a range of options for how, when and where you work. Talk to us about how this role could be flexible for you. Find out more! CSIRO Balance

How to Apply:  If you wish to apply for this position, please upload 1 document only containing your covering letter and resume that best demonstrates your ability to meet the requirements of the role.   

Before you apply please view the full position description and selection criteria here:  Position Details

Applications Close:  Sunday 11 February 2018

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