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Data Scientist Genome Analysis (Postdoctoral Fellowship)


Sydney, New South Wales, Australia

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Job Posted: 07/12/2017

Job Category:

Science & Technology / Research & Development

Job description:
  • Do you have a PhD in Bioinformatics, Computational Biology or Information Technology?
  • Gain a prestigious Postdoctoral Fellowship and really make a difference!
  • Join CSIRO's high-performing Transformational Bioinformatics team

The Position

Postdoctoral Fellowships at CSIRO provide opportunities to scientists and engineers, who have completed their doctorate and have less than three years relevant postdoctoral work experience. These fellowships will help launch their careers, provide experience that will enhance their career prospects, and facilitate the recruitment and development of potential leaders for CSIRO.

Postdoctoral Fellows are appointed for up to three years and will work closely with a leading Research Scientist or Engineer in their respective field. They carry out innovative, impactful research of strategic importance to CSIRO with the possibility of novel and important scientific outcomes. They present the findings in appropriate publications and at conferences.

This is a great opportunity for the successful candidate to join the high-performing Transformational Bioinformatics Team within the Australian e-Health Research Centre (AEHRC) and develop novel computational algorithms for genomics using the latest BigData and cloud computing technology

Location: North Ryde, NSW

Salary: AU $80K - AU $91K plus up to 15.4% superannuation

Tenure: Specified Term of 3 years

Reference: 52884

To be appointable for this position, the successful candidate will have a doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Bioinformatics, Computational Biology or Information Technology.

Please note: To be eligible for this role you must have no more than 3 years of relevant postdoctoral experience.

The successful candidate will meet the following criteria:

1. Evidence of experience with Hadoop-based compute engines (e.g. SPARK, BEAM, FLINK) as well as more than one language relevant for bioinformatics (e.g. Java, Python, C++, Scala, BASH, R).
2. Proven impact from developing solutions on multiple cloud vendors (AWS, Gsuite) for corporate or university sector.
3. Experience in health and bioinformatics research, specifically high-throughput sequence data analysis and understanding of the underlying molecular biology (e.g. DNA amplification).
4. 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.
5. 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

This vacancy will remain open until filled, we encourage you to submit your application before Wednesday 20 December 2017 as we will review and interview suitable candidates before the closing date. We reserve the right to withdraw this ad prior to the closing date.

How to Apply: To apply, please provide a CV as well as a cover letter outlining your motivations for applying and your suitability for the role, and upload these as one document. If your application proceeds to the next stage you may be asked to provide additional information.