Research Scientist - Crop Genome Analysis
- Are you a highly motivated & innovative scientist?
- Would you like to contribute to internationally competitive project outputs in cereal genomic science?
- Work within a multi-disciplinary project team & help grow CSIRO's position in wheat research
CSIRO Agriculture and Food is seeking a Research Scientist to conduct and lead the analysis of polyploid crop genomes and provide scientific expertise towards project planning and management of project resources. This work will contribute to projects seeking to understand the genetic determinants of important crop performance traits.
The role will work within a multi-disciplinary project team to develop and manage completion of milestones for substantial and complex scientific outputs in genomic science, bioinformatics and statistical analysis. You will provide genome analysis capability to several externally funded projects utilising the large CSIRO MAGIC wheat platform. This exciting new role will lead the development of new analytical approaches in genetic map construction and bioinformatics methods to analyse newly formed MAGIC HIF (heterogeneous inbred families).You will also work closely with CSIRO scientific capability in wheat functional genomics, cereal bioinformatics and external in partners in crop genetics research to develop new research directions and capability strengths that continue to grow CSIRO's position in wheat research.
Enquiries from applicants seeking part time work are encouraged and will be considered case-by-case.
Location: Black Mountain ACT preferred, may consider St Lucia QLD, Waite Campus, Adelaide, and Floreat, Perth
Salary: $92k to $100k plus up to 15.4% superannuation
Ref no: 38526
To be successful you will have:
- A doctorate or equivalent research experience in a relevant discipline area, such as genetics, bioinformatics, information science or agricultural science.
- Experience in the statistical analysis of genetic traits in complex genomes including the construction and use of genetic maps, interval mapping, analysis of copy number variation and approaches for effective experimental design.
- Experience with the design and analysis of transcriptome assembly, differential expression analysis and candidate gene identification strategies in non-model genomes.
- Experience in at least one of R, Python or Perl as well as experience in utilising enterprise scale high-performance computing environments.
Before you apply, please view the full position details and selection criteria click here: Position Details Document
Who we are: The Commonwealth Scientific and Industrial Research Organisation (CSIRO)
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How to Apply: Please provide enough information relevant to the selection criteria for this position to enable the assessment panel to determine your suitability, and upload one document containing your CV/resume and cover letter.
Applications close: 11:59 AEST on 31 May 2017