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Current Vacancies

Postdoctoral Research Officer - DNA Repair and Recombination

Position

We are seeking a self-motivated and passionate postdoctoral Researcher to join the DNA Repair and Recombination Laboratory team headed by Dr Wayne Crismani. This role will manage a project focused on genetics, meiotic crossover formation and leveraging the power of single cell sequencing in gametes. The incumbent will work primarily as a wet-lab scientist, however, they will work closely with research bioinformaticians and statisticians for all experimental stages from planning through to data analysis. 

Our laboratory has made significant advances already on the project and a driven post doc will have ample opportunities for high quality publications in broad interest journals plus those with a focus in genetics and method development.

The successful appointee will have a PhD (or equivalent) focused on genetics and molecular biology. A strong understanding of Mendalian genetics and breeding strategies is essential.

The appointee will be highly organised, excellent at maintaining laboratory records and a clear communicator. Applicants whose first language is not English are welcome to provide supporting documentation such as IELTS or TOEFL scores.

Salary: commensurate with experience ranging from $85,000 to $91,911 per annum, plus 9.5% superannuation and generous $15,900 FBT exempt salary packaging.

Further information:  Dr Wayne Crismani [email protected]

To apply: All applications addressed to Dr Wayne Crismani should include the following:

  • Current CV (2 page maximum);  and
  • Cover letter addressing the selection criteria (1 page maximum). 

Applications via Seekhttps://www.seek.com.au/job/40774713?

Research Unit:DNA repair & recombination

Closing Date: Friday 14th February 2020

Position Description
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Post Doctoral Research Officer - Bioinformatics & Cellular Genomics

The Position

We are seeking a motivated and successful postdoctoral Researcher to manage an independent project in single-cell genetics, developing new computational methods and open-source software to enable cloud-scale analyses of single-cell data. You will implement statistical and machine learning approaches and coordinate the processing and analysis of ‘omic data, specifically related to recombination in meiosis and DNA repair, as well as identifying opportunities to customise more efficient workflows and methods where warranted. 

The position also plays an important role in the overall performance and scientific activities of the laboratory as you will contribute to publications, assist in the supervision of students and present at seminars and lab meetings. The researcher will also have an organisation-wide responsibility in collaborating closely with the researchers of the wet-lab laboratories, providing computational expertise on experimental design and data analysis in specific cases. 

The successful incumbent will have a PhD (or equivalent) in a computational discipline relevant to bioinformatics and cellular genomics (bioinformatics, statistics, machine learning, computer science, applied mathematics, physics or similar) and possess advanced skills in using computer programming and scripting in R or Python and, ideally, familiarity with one or more of Julia, C++, Go, Nim, Rust, Java, Perl or SQL programming languages. You will have a demonstrated ability in the use of Unix-based systems, computing clusters and related queuing systems and in large-scale data analysis and management. Ideally you will have prior experience working in high-performance computing environments, including academic and/or commercial cloud computing platforms and experience using bioinformatics workflow management software (e.g. Snakemake, Nextflow, WDL). Your track record in bioinformatics, genomics, computational biology or other relevant quantitative fields will be evidenced by high-quality publications. Demonstrated experience developing open-source software and reproducible data analyses will be highly regarded.

 

Salary commensurate with qualifications and experience, ranging from AUD $85,000 to $91,911 per annum, plus:

  • 9.5% superannuation
  • generous $15,900 FBT exempt salary packaging
     

Applications addressed to Dr Davis McCarthy should include the following:

  • Current CV
  • Covering letter addressing selection criteria, as outlined on the Position Description
     

Enquiries Dr Davis McCarthy    [email protected]

Applications via Seek http://www.seek.com.au/job/40742290?

Supervisor:Dr Davis McCarthy

Research Unit:Bioinformatics & cellular genomics

Closing Date: Friday 14th February 2020

Position Description
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Research Assistant - Bioinformatics and Cellular Genomics

The Position

We are seeking a talented Research Assistant to support the clinical imaging (breast-cancer screening) and single-cell genetics research of the laboratory. Playing a key role alongside the senior scientists, you will carry out a range of supervised work activities across a variety of projects using computational methods, approaches and software to enable clinical imaging and single-cell genetics research.

The successful incumbent will have a Honours Degree in a computational discipline relevant to bioinformatics and cellular genomics (bioinformatics, statistics, machine learning, computer science, applied mathematics, physics or similar) and have proficiency in one or more of R, Python, Julia, C++, Go, Nim, Rust, Java, Perl and/or SQL computer programming and scripting languages. You will have a demonstrated ability in the use of Unix-based systems, computing clusters and related queuing systems and experience in data analysis and data management.

Ideally you will have prior experience working in a high-performance computing environment where you have developed expertise in statistics and/or machine learning. Prior exposure to research in genomics (ideally single-cell genomics), genetics, computational biology, bioinformatics or image analysis will enhance your success in the role. Exposure to the statistical analysis of large-scale human and/or mouse genomic and/or clinical imaging datasets will be highly regarded.

 

Salary $71,000 - $82,500 per annum, commensurate with qualifications and experience, plus:

  • 9.5% superannuation
  • generous $15,900 FBT exempt salary packaging 
     

Applications addressed to Dr Davis McCarthy should include the following:

  • Current CV
  • Covering letter addressing selection criteria, as outlined in the position description

Enquiries Dr Davis McCarthy    [email protected]

Applications via Seek: http://www.seek.com.au/job/40741955?

Supervisor:Dr Davis McCarthy

Research Unit:Bioinformatics & cellular genomics

Closing Date: Wednesday 5th February 2020

Position Description
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Senior Scientist - Scientific Consulting & Training

                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               The National Reference Laboratory (NRL) operates as a division of St Vincent’s Institute and was established as part of the Australian Government’s HIV and AIDS strategy, and is  contracted by the Australian Department of Health and licensed by the Therapeutic Goods Administration (TGA), to undertake scientific activities that underpin accurate diagnosis and management of human communicable diseases, including HIV, HCV and HTLV. NRL provides specialised services, including pre- and post-market evaluations of serology test kits, quality assurance programmes, specialised testing services, consultation, education and training for laboratories in Australia and worldwide.

The primary purpose of this position is to contribute to the building of sustainable capability in human and animal laboratories in Australia and overseas, specifically in the quality of infectious disease testing. As a scientific subject matter expert in infectious disease testing, this position provides high level expertise in the delivery of specialised training and consultancy in lab-based activities in Australia and in resource-limited countries overseas. Important elements of the role include the development of training and technical materials, ongoing monitoring and evaluation of project outputs and outcomes and maintaining and enhancing relationships with current and prospective stakeholders. Some management of technical staff in Australia, as well as those based overseas, may be required. The role will also involve the co- ordination of input from other key NRL Scientists.

We are looking for a suitably qualified medical scientist with a successful track record in consultancy and the delivery infectious disease testing training and consultancy, both within Australia and overseas. Experience in project management, representations at senior government and NGO official fora internationally, and an extensive network of contacts in the laboratory capacity development setting would be highly advantageous. Excellent interpersonal and cross-cultural communication skills, both written and verbal, will be essential to the success in the role. Periodic overseas travel will be required.

Salary commensurate with qualifications and experience, within the range $94,307 - $106,850 per annum, plus:

  • 9.5% superannuation
  • generous $15,900 FBT exempt salary packaging

Applications via Seek please https://www.seek.com.au/job/40685974? and addressed to Geraldine Kong, Scientific Consulting & Training Manager.

Include Current CV and covering letter addressing selection criteria

Enquiries: Geraldine Kong [email protected] +61 3 9418 1100

Closing Date: Friday 7th February 2020

Position Description
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