Employer: St Vincent's Institute - Medical Research
Closing date extended: COB 5 February 2020
Brief position description: 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.
Job website: http://www.seek.com.au/job/40741955?
Contact name: Dr Davis McCarthy
Contact email: dmccarthy@svi.edu.au