The Computational Biology group in Garvan's Data Science Platform collaborates with researchers and clinicians across the institute Research Programs and beyond. The group applies and develops computational methods to analyse and interpret genomics, imaging and other complex biomedical data. We act as strategic partners, combining technical expertise with biological domain knowledge to tackle problems that address critical unmet medical needs.
THE OPPORTUNITY We are looking for a Computational Biologist to join our team. Successful candidates will work on genomics studies with experimental and clinical researchers across the Garvan Research Programs and with external collaborators. Example projects include single-cell genomics, spatial transcriptomics, RNA-seq, whole-genome sequencing, circulating tumour DNA analysis. Successful candidates will contribute to all study stages, including design and planning, data analysis, interpretation and manuscript writing. This is a two year contract with possibility to extend. Salary is dependent on experience.
WHAT YOU WILL DO The key responsibilities include:
Analysis of high-throughput datasets, including quality control, unsupervised and supervised analyses, with emphasis on biological interpretation Preparing figures for publication, contributing to manuscript writing Experimental design and planning Creating and maintaining modular and reusable workflows through use of container and workflow management technologies Developing best practices for computational workflows through evaluation/benchmarking of existing methods and/or original method development Staying informed on advances in computational methods, genomics, as well as building and maintaining biological domain expertise Contribute to training programs through designing and running workshops, mentoring, technical supervision, code reviews ABOUT YOU The key skills and experience include:
PhD degree in a related area of science or engineering Good statistical knowledge and programming skills Good knowledge of biology Previous experience analysing and interpreting genomics data, such as single-cell genomics, spatial transcriptomics, RNA-seq, whole-genome sequencing Publications commensurate with experience Comfortable working with Unix and in an HPC environment Proficient in at least one scripting language (R, Python) Familiar with version control systems Experience with software containers, workflow management systems, databases, cloud computing Highly developed written and verbal communications skills HOW TO APPLY To apply for this position, please submit your application with a CV and cover letter as one document, stating why you are interested in this role. We are open to sponsorship for the right candidate.
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