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Genomics Data Analyst Position at Leading Medical Research Institute

1 month ago


Sydney, New South Wales, Australia Garvan Institute of Medical Research Full time

The Garvan Institute of Medical Research is a world-renowned medical research institution in Sydney, Australia. Our mission is to harness the power of genomics to understand and diagnose complex diseases, ultimately improving human health.

We are seeking a highly skilled Data Analyst to join our team within the Translational Genomics Program. The successful candidate will work closely with Dr. Drew Neavin to analyze and interpret large genomic datasets, using advanced computational methods and statistical techniques to identify patterns and trends.

The primary focus of this role will be on understanding the impact of biological variation on molecular phenotypes, such as gene expression and chromatin accessibility, at the level of individual cells. This involves analyzing data from >13,000 single-cell samples to explore how technical and biological variables contribute to variation in single-cell molecular phenotypes.

The ideal candidate will have a strong background in computational genomics, bioinformatics, or data science, with expertise in Python and/or R programming languages. Experience with Unix and HPC environments, as well as version control for code development and curation, is also essential.

This is a 2-year full-time term contract with the possibility of extension. We offer a competitive salary, ranging from $88,800 to $118,400 per year, depending on experience, plus benefits including superannuation, salary packaging, and generous leave arrangements.

In addition to supporting the outlined research activities, opportunities will be made available to pursue and publish leading research. You will work in a stimulating and diverse environment with ample opportunities for training and development.

If you are a motivated and detail-oriented individual with excellent problem-solving skills, we encourage you to apply for this exciting opportunity.