About us

The Victor Chang Cardiac Research Institute is dedicated to finding cures for cardiovascular disease and is one of the most respected heart research facilities in the world.

In 2016, the Victor Chang Institute established a Cardiovascular Research Innovation Centre, comprised of seven cutting-edge facilities, with a focus on Stem Cells and Regeneration, Cardiogenomics and Gene Editing, Cardiac Imaging, Transplantation and Devices, and Metabolomics.

The new centre will attract world-class researchers and drive transformative research. It will allow scientists to access cutting-edge technologies and will foster collaborations with clinical researchers and technological experts, all with a shared vision – to reduce the incidence, severity and impact of heart disease.

The role

We are seeking an enthusiastic and motivated post-doctoral scientist to join the Metabolomics team, led by the Head – Metabolomics, A/Prof Mark Hodson. The successful candidate will primarily undertake the development and application of data processing and analysis workflows to enable the automation of this bottleneck in the extraction of meaningful insight from metabolomics and lipidomics data.

About you

We would like to meet you if you meet the following selection criteria: 

Essential

• PhD in computational biology, bioinformatics, biostatistics or a relevant field, with a demonstrated aptitude for bioinformatics research
• Experience with a statistical programming language (R/Bioconductor and/or Matlab) and a scripting language (Perl or Python)
• Excellent computational, mathematical and statistical skills
• Strong up-to-date background in bioinformatics and its application to metabolomics and lipidomics
• Demonstrated knowledge of current state-of-the-art proprietary/vendor as well as open source software for spectral deconvolution, alignment and analysis of metabolomics- and lipidomics-related mass spectrometry data
• Contemporary knowledge of downstream analysis workflows such as spectral database matching, pathway analysis and enrichment analysis
• Demonstrated capacity to work within a team and also independently, as well as the ability to train research staff and potentially supervise students
• Excellent interpersonal and communication skills, both oral and written
• Proven ability to undertake research in the fields of bioinformatics and/or biostatistics, demonstrated by a research track record evidenced by peer-reviewed publications in high quality journals

Preferred

• Knowledge of liquid chromatography and mass spectrometry principles as well as the complexity of various LC-MS data outputs would be an advantage
• Experience with the processing, analysis and integration of other ‘omics data

What we offer:

• Salary packaging
• State of the art facilities
• Stimulating work setting focussed on cutting edge medical research
• Collaborative team environment

We strive to ensure our staff and students enjoy a great working environment. We value and are committed to providing a working environment that embraces diversity and gender equity and promotes flexible working arrangements for staff to balance working requirements and personal needs.

Come and work with us & help make a difference.