Employer: St Vincent's Institute (SVI)
Closing date: 3 Feb 2019
Brief position description: The Facility
St Vincent’s Institute (SVI) www.svi.edu.au is an internationally recognised independent research organization, based on the St Vincent’s Hospital Campus on the edge of Melbourne’s CBD. The Institute has a dedicated team of over 150 talented research staff and students, who are committed to improving the health and life-expectancy of Australians. We focus on common diseases that represent major health issues for Australians today, including diabetes, bone diseases, cancer, cardiovascular disease, obesity and Alzheimer’s disease.
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.
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 Position Description - see job website link below
Applications: via Seek please. Please include current CV, covering letter addressing key selection criteria based on the Position Description
Position Enquiries: Dr Davis McCarthy firstname.lastname@example.org
Contact name: Helen Ritchie
Contact email: email@example.com