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Research Assistant - Bioinformatics & Cellular Genomics

The Laboratory 

The Bioinformatics & Cellular Genomics Laboratory is a newly funded group at SVI, established to solve the challenges of analysing and interpreting the large-scale biological data generated from medical research activity. In a jointly funded arrangement between SVI and the Melbourne Integrative Genomics Group (University of Melbourne School of Mathematics and Statistics) and under the direction of NHMRC Fellow and Oxford graduate Dr Davis McCarthy, the Bioinformatics & Cellular Genomics Laboratory will be capable of using large-scale studies of DNA and single-cell genetics to drive future medical discoveries. 

The Position 

We are seeking a talented Research Assistant to support the 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 single-cell genetics research.  

The successful incumbent will have an 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, 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 queueing systems and experience in data analysis and 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 or bioinformatics will enhance your success in the role. Exposure to the statistical analysis of large-scale human and/or mouse genomic datasets will be highly regarded.  

Salary $70,000 - $80,000 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 

Applications only via Seek please: https://www.seek.com.au/job/38047581?

Enquiries Dr Davis McCarthy    [email protected] 

Closing Date:

Position Description
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Postdoctoral Research Officer - Bioinformatics & Cellular Genomics

The Laboratory 

The Bioinformatics & Cellular Genomics Laboratory is a newly funded group at SVI, established to solve the challenges of analysing and interpreting the large-scale biological data generated from medical research activity. In a jointly funded arrangement between SVI and the Melbourne Integrative Genomics Group (part of Melbourne University School of Mathematics and Statistics) and under the direction of NHMRC Fellow and Oxford graduate Dr Davis McCarthy, the Bioinformatics & Cellular Genomics Laboratory is capable of using large-scale studies of DNA and single-cell genetics to drive future medical discoveries. 

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, 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.  

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 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 queueing 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, CWL). 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 $83,000 - $90,000 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 only via Seek please  https://www.seek.com.au/job/38047201?

Closing Date:

Position Description
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Principal Scientist - National Reference Laboratory

Organisational Context

The National Reference Laboratory (NRL) is a division of St Vincent’s Institute. Contracted by the Department of Health and licensed by the TGA, NRL is a leading provider of scientific services and products that support the accurate diagnosis and management of human communicable diseases, such as HIV, HCV and HTLV. With a workforce of over 30 staff, NRL provides unique and specialised services, including pre- and post-market evaluations of serology test kits, quality assurance programs, specialised testing services, consultation, education and training for serology testing laboratories both in Australia and worldwide.

The role

NRL is currently seeking a full time Principal Scientist as the key driver of NRL's scientific integrity. This is a pivotal role to deliver accurate and high level interpretive analysis, scientific skill and leadership across the organisation. In addition, the Principal Scientist will retain direct operational management responsibility for three scientific teams; External Quality Assessment Schemes (EQAS), Production and Testing.

Selection criteria

Applicants should review the Position Description in full and address the selection criteria. In summary you will hold a relevant Masters or PhD qualification and have an established reputation in a senior role in either the infectious diseases diagnostic or blood screening industries. You will possess superior diagnostic skill and judgement and be viewed as an expert in your field. Operationally, you will have been a proven leader and coach of medical scientists, undertaken responsible resource management, and competently managed significant budgets. Contemporary knowledge of the IVD's for infectious diseases industry and pathology networks will ensure that you make a major strategic contribution to the direction of NRL's testing techniques, evaluation and new markets.

We are keen to hear from candidates who can demonstrate the ability to successfully engage, influence and lead for continuous improvement.

Enquiries: NRL Director, Dr Philippa Hetzel  [email protected]

Salary: $145,000 (a generous $15,900 FBT-exempt salary packaging option is available) plus 9.5% Super

Email Appplications: CS Executive Group  Helen J Patronis -  Managing Director & Executive Search Consultant  [email protected]  Ph: 03 9516 0100

Closing Date:

Position Description
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