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Bioinformatics Research Officer

We are seeking an experienced and highly motivated bioinformatics researcher who will contribute to an exciting research study involving the genomic analysis of neuroendocrine tumours (NET). NET is a heterogeneous collection of tumours with a complex genetic makeup that often display unpredictable clinical behaviour. As leaders of a new international research study based at Peter Mac and with involvement of the University of Melbourne Centre for Cancer Research we aim to identify the genetic determinants of NET including associations with clinical outcome, response to therapy and functional imaging properties. The research will involve high-level bioinformatics analysis of a large series of tumour samples involving engagement with an international consortium and employing a range of genomic methods including whole genome DNA sequencing, RNA-sequencing, DNA methylation and proteomic analysis. The position will also have scope for development of new bioinformatic methods and leading novel research projects.

Candidates who wish to apply for this position MUST:

Have a PhD or Masters degree in a relevant field OR a bachelors degree and at least three years experience in a quantitative discipline such as mathematics, statistics, physics or computer science
Have >2 years experience in the application of bioinformatics to genomics data.
Have excellent skills in R and Unix programming
Possess excellent organization, communication, reporting and time management skills

For further information about this opportunity, please see here



Postdoctoral Scientist (Bioinformatics & Computational Biology) 

An excellent opportunity is available for a highly motivated and skilled bioinformatician or computational biologist to work on prostate cancer genomics within the Research Division at the Peter MacCallum Cancer Centre. The role will involve analysis of DNA and RNA sequencing data to investigate the drivers of metastasis and therapy failure in prostate cancer.

Suitable applicants will have a PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, Genetics or related discipline. Additional requirements include expertise in genomics, statistics and the analysis of next generation sequencing data, advanced skills in at least one of R, Python or Perl and experience working on high performance computing clusters.

The research environment will be highly collaborative, with regular interactions with cancer biologists from the Prostate Cancer Research Laboratory and bioinformaticians from the Computational Cancer Biology Program and the Bioinformatics Core Facility. The candidate will work on joint initiatives but will also be responsible for driving own specified projects.

These position will be initially offered for a fixed term duration of 12 months with the possible opportunity to extend. Remuneration will be commensurate with qualifications and experience.

Peter Mac offers its employees the following benefits:

  • Salary packaging 
  • Employee Assistance Program 
  • Central City location 
  • Training and Development program

Further details, complete position description and application can be viewed here.


Postdoctoral Fellow (Cancer genomics/bioinformatics) - UNSW Sydney

A postdoctoral fellow position is available within the lab of Dr Jason Wong to work on projects relating to the study of mechanisms of mutation formation in cancer and the impact of these mutations on cellular function. These projects build on recent research from the team described in Nature ( The successful applicant will carry out computational and bioinformatics data analyses, write research manuscripts and co-supervise research students. There will also be opportunities to undertake experimental research to generate data and test hypotheses, and therefore researchers with experience in laboratory-based research will be highly regarded. The position will be based within the Lowy Cancer Research Centre in the Bioinformatics and Integrative Genomics team led by Dr Jason Wong.

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Research Associate: Bioinformatics, Adelaide

We are seeking a bioinformatician to join the bioinformatics group of the Centre for Cancer Biology (CCB).  This position, available for two years in the first instance, will be primarily associated with the Gene Regulation Laboratory (Prof. Greg Goodall) and the new ACRF Cancer Discovery Accelerator of the CCB. Specific interests of the Gene Regulation Laboratory include the study of the mechanisms and functions of transcriptional and post-transcriptional regulation of gene expression, especially in relation to the epithelial-mesenchymal transition and in cancer metastasis (see for further information).


The CCB’s bioinformatics group, headed by Dr. Andreas Schreiber, consists of around 10 bioinformaticians and is located in the ACRF Cancer Genomics Facility. The group coordinates and carries out the computational analysis component of the research program of the CCB, performs bioinformatic developmental work within for the Genome Facility and it is also closely associated with the NGS diagnostic service of SA Pathology. The group specializes in genome analysis, supporting the discovery of disease causing mutations, analysis of changes in expression and regulatory networks during the development of cancer and development of software aiding the transition from biomedical research to personalized genomics.


The successful applicant will be proficient in interpreting large, complex and diverse next-generation sequencing datasets. Previous experience with working with long reads is an advantage, as is a strong statistical background. The applicant will use both available computational tools as well as develop their own. Previous experience in coding in one or more relevant languages (e.g. Perl, Python, Java, shell scripting) is essential, as is familiarity with Unix/Linux.  We will consider applications from candidates with a PhD or substantial experience in bioinformatics, statistical, mathematical & computational or related sciences. Previous experience in molecular biology, genetics and related areas is an advantage but not essential.


Closing date for applications is Dec 12, 2016. For further information, and the application form, see "Research Associate: Bioinformatics (Level ARAS)" (Job Ref - HSC_0282_R_E)  at


Test entry 02 (for Catherine)

Here's a teaser!

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