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Postdoctoral Fellowship - Bioinformatics for gene therapy

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The Opportunity

  • Do you have a PhD (or close to finishing) relating to Bioinformatics, Electrical Engineering or Information Technology?
  • Gain a prestigious Postdoctoral Fellowship and really make a difference!
  • Join CSIRO's high-performing Transformational Bioinformatics team

We are seeking a PhD qualified Bioinformatician with experience in functional genomics and genome engineering, as well as demonstrated knowledge of modern compute frameworks (HPC, Cloud) to help us bring advanced IT solutions to gene therapy applications.

You will join the high-performing Transformational Bioinformatics from the Australian e-Health Research Centre (AEHRC) and collaborate closely with the Gene Therapy Research Unit (SCHN/CMRI) and Translational Vectorology group (CMRI) at Westmead to help develop and optimize methods for gene therapy.

The selected candidate will achieve impact by having access to unique clinical samples that enable the development of new computationally-guided editing strategies for real-world application in the gene therapy unit at the Children’s Hospital.


Challenge yourself and find out how your research and ideas can enable Australia become the healthiest nation by 2030.


Location:      North Ryde, NSW
Salary:          AU $82K - AU $93K plus up to 15.4% superannuation
Tenure:         Specified Term of 3 years
Reference:    59125

To be successful you will need

• A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Information Technology, Electrical Engineering or Bioinformatics.
Please note: To be eligible for this role you must have no more than 3 years (or part time equivalent) of relevant postdoctoral experience.
• Evidence of developing machine learning methodology (e.g. RF, SVM, ANN) as well as more than one language relevant for bioinformatics (e.g. Python, Java, C++, Scala, BASH, R).
• Proven impact from developing solutions on public cloud infrastructure (AWS, Alibaba cloud, GCP, Azure) or high-performance compute (HPC) with demonstrated software engineering practices (us of repositories, deployment standards, efficiency analysis).
• Experience in functional genomics, genome engineering or computational vectorology, specifically around analysis of experimental (NGS) data from CRISPR experiments.
• The ability to translate genomic analysis into testable hypotheses and real world applications.
• The ability to work effectively as part of a multi-disciplinary, regionally dispersed research team, plus the motivation and discipline to carry out autonomous research.
• A record of science innovation and creativity, plus the ability & willingness to incorporate novel ideas and approaches into scientific investigations.


Before applying, we encourage you to read the full position description for this role. This document can be viewed at:
Position details document

Flexible Working Arrangements


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. Balance



At CSIRO you can be part of helping to solve big, complex problems that make a real difference to our future. We spark off each other, learn from each other, trust each other and collaborate to achieve more than we could individually in a supportive, rewarding, inclusive and truly flexible environment.

Apply Online


To apply online, please provide a CV and cover letter outlining your suitability and motivation for the role.

Applications Close

Wednesday 12 December 2018

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