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Postdoctoral Fellow in Bioinformatics - Data61, CSIRO

•An outstanding opportunity to launch your research career at CSIRO
•Work in the largest innovation group in Australia
•Join Data61 at CSIRO - Australia's premier science & technology research organisation

The Position

The Postdoctoral Fellow will be based in Data61's EcoSciences Precinct office in Brisbane and will work closely with experimental research scientists and technical staff from the National Research Collections of Australia, including the Australian National Insect Collection (ANIC), the Australian National Herbarium, Australian Fish Collection and the Australian Algal Collection.
The appointee will work primarily with the Environomics FSP project "High-throughput Collection Genomics". This project is seeking to unlock the genomic resources held within the millions of historical biological specimens in the National Research Collections Australia. Its success depends on surmounting numerous technical and analytical challenges.  This position will focus on developing tools for assembling and analysing whole genomes from historical specimens of insects, lichen, flowering plants and fish and deal with the many challenges of working with degraded low-coverage genomes. This work will contribute to an analysis pipeline that will be used to generate genomic reference sequences from many thousands of individuals in the National Collections for the molecular identification of specimens, with subsequent applications in, e.g., eDNA-based biodiversity surveys, conservation, biodiversity discovery, and biosecurity.

Location:      Dutton Park, QLD

Salary:          $78K - $88K pa plus up to 15.4% superannuation

Tenure:        specified term of 3 years

Reference:  42486

To be successful you will need:
•A doctorate (or will shortly satisfy the requirements of a PhD) or equivalent research experience in a relevant discipline area, such as genetics, bioinformatics or information science.
•Demonstrated knowledge and skills in advanced bioinformatics research, specifically high-throughput DNA sequence data analysis and a deep understanding of the underlying molecular biology.
•Proficiency in at least one of R, Python or Perl as well as experience in utilising high-performance computing environments.
•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.
•Experience in the effective communication of scientific findings in written and verbal form, and a solid record of publication in quality, peer reviewed journals.
•A record of science innovation and creativity, plus the ability & willingness to incorporate novel ideas and approaches into scientific investigations.

Owing to terms of the fellowship, candidates must not have more than 3 years of relevant Postdoctoral experience.

Who we are: The Commonwealth Scientific and Industrial Research Organisation (CSIRO) 

 We do this by using science and technology to solve real issues. Our solutions make a difference to industry, people and the planet.

As Australia's national science agency, we've been pushing the edge of what's possible for almost 90 years. Today we have thousands of talented people working across Australia and internationally. Our people work closely with industry and communities to leave a lasting legacy. Collectively, our innovation and excellence places us in the top ten applied research agencies in the world.


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. 

Find out more here!: Balance

Our commitment to you
CSIRO's Data61 offers an open and supportive workplace, where employee wellbeing is a top priority. We are committed to providing a diverse and inclusive workplace by focusing on gender equality, support and development of women in leadership, increasing the employment of Australian Aboriginal and Torres Strait Islanders whilst supporting the LGBTI community and other diverse backgrounds.

CSIRO's Data61 offers a range of flexible working opportunities, including part-time and job share arrangements, to provide you with work/life balance. We emphasise an individual's growth and development which is supported by interacting and learning from world leading scientists and engineers, who provide the opportunity to challenge, transform and innovate new ideas.

CSIRO's Data61 is committed to sourcing the brightest and best talent to become part of the Data61 family that contributes to creating Australia's data driven future.

How to Apply: Please upload one document only containing your CV/Resume, cover letter and statement addressing the selection criteria.

Before applying please view the full position details and selection criteria here: Position Details

Applications Close:  10:00pm AEST, 6 August 2017


Production Bioinformatics Engineer

About us

The Garvan Institute of Medical Research, renowned for innovation and excellence, is building its next generation data analysis infrastructure to unlock the secrets of the genome and ultimately transform health care. The Kinghorn Centre for Clinical Genomics (KCCG), part of the Garvan’s Genomics and Epigenetics division, aims to advance the use of genomic information in patient care by employing world-leading DNA analysis technology and expertise in genetics, pathology and bioinformatics to deliver and interpret Next Generation Sequencing (NGS) data for research and clinical use.

As part of KCCG’s core strategic aims, the ‘Genomic Technologies Group’ extends and complements Garvan’s capabilities in genomic, transcriptomic, and epigenomic research by implementing, evaluating, and refining new and existing technologies for both clinical and research applications and, where applicable, establish a pathway for translation of new technologies and techniques into commercial products, such as Genome.One. 

The opportunity

We currently have an opportunity for a Production Bioinformatics Engineer to join the Genomic Technologies Group. The Production Bioinformatics Engineer will be responsible for the efficient implementation of analytic workflows and best practices for the generation and processing of NGS data, with particular focus on single cell sequencing protocols.

Specific tasks will include but not be limited to:

  • Transform research-grade bioinformatics analysis workflows into products that are more robust, transparent and reassuring;
  • Responsible for researching, planning, implementing, testing, and optimising bioinformatics software tools for NGS data that meet the analysis needs for laboratory research scientists;
  • Ensure that NGS pipelines are consistently, reliably, efficiently and correctly processing data;
  • Work closely with Garvan’s Data Intensive Computer Engineering (DICE) group regarding the building of software pipelines that will run on DICE’s HPC and OpenStack computing environment, Australia’s supercomputing facility, the National Computational Infrastructure (NCI), as well as on commercial clouds (AWS, Google, and Azure);
  • Responsible for documenting and communicating pipeline processes and building the team knowledge base;
  • Provide bioinformatics support and training to end users (transforming data from sequence to information meaningful for laboratory research scientists);

About you

To be successful in this position, you will be a talented and methodological programmer who is attentive to detail and eager to learn about diverse genomic applications and the associated data ecology. You will be a team player and enthusiastic collaborator who thrives in diverse computational environments.

You will also possess the following key skills and attributes: 

  • Bachelor degree in software engineering, bioinformatics, biomedical engineering, biotechnology, or a related discipline;
  • Experience with high performance computing environments, cloud computing, and workload managers/batch submission/job schedulers;
  • Experience with NGS data analysis;
  • Experience in installation and evaluation of third party software applications and tools;
  • Fluency in programming in several languages (Bash, R, python desirable);
  • Experience with Atlassian tools (Confluence, Bitbucket, etc);
  • Experience with source code management tools (git preferable);
  • Strong analytical, critical thinking, and problem-solving skills;
  • Excellent interpersonal skills and ability to work cooperatively with other team members;
  • Excellent organisational and time management skills;
  • Knowledge of single cell sequencing workflows desirable;
  • Familiarity with flow cytometry desirable;
  • Familiarity with Containers like Docker, and container-orchestration software like Kubernetes and Mesos desirable;
  • Experience with GPGPU computing desirable;
  • Excellent knowledge of statistics and probabilities desirable;
  • Familiarity with workflow management systems such as Toil, Cromwell, Airflow, Nextflow, Arvados, etc desirable.  

How to Apply

All applications must be submitted via Garvan’s careers website:


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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