Garvan Institute of Medical Research brings together world leading scientists and clinicians, collaborating locally and globally, to advance our understanding of disease, particularly cancer, autoimmunity and genetic disorders. Garvan is a global leader in fundamental biomedical research and its translation. Our mission is to make discoveries that will improve health for all.
The Garvan Data Science Platform (DSP) brings together computational experts working in computational biology, AI/ML, production bioinformatics, system administration, and software engineering. The Computational Biology group in DSP performs complex data analysis projects, combining computational skills with biological domain expertise. We work closely with collaborators at Garvan, across Australia and internationally, including commercial partners.
THE OPPORTUNITY
The Computational Biologist will collaborate with scientists and medical researchers on complex data analysis projects, including experimental design and planning, building workflows, data processing, statistical analysis, visualisation, interpretation, and manuscript writing. Example projects include data from single-cell genomics, spatial technologies, RNA- seq, whole-genome sequencing, and clinical biomarker data. This is a 2-year fixed-term full-time position with salary dependent on experience.
SNAPSHOT OF BENEFITS
Generous salary packaging to save you income tax on your wages thereby boosting your monthly take home pay (max. $15,900 general expenses + $2,650 meals/accom)
Ample opportunities for on-going training and development
Stimulating, diverse and highly international research environment
Flexible work arrangements e.g. start / finish times
18 weeks paid parental leave for both parents including paid superannuation
A range of additional leave types to meet your personal needs including cultural leave, conference leave, community service and study leave
Discounted Health Insurance
Lifestyle discounts with our community partners
WHAT YOU WILL DO
The key responsibilities include:
Contribute to computational analysis projects at Garvan, including liaising with collaborators, planning and executing analyses, identifying and helping to resolve issues, and selecting suitable computational approaches
Analyse data with emphasis on biological interpretation, including data processing, quality control, unsupervised and supervised analyses, statistical modelling, visualisation
Prepare figures for publication, contribute to manuscript writing
Contribute to experimental design and planning
Create and maintain modular and reusable workflows through use of container and workflow management technologies
Adhere to and help develop best practices, including evaluation and benchmarking of existing methods
Stay informed on advances in computational methods; build biological domain expertise relevant to the analysis projects
Build and use agentic AI workflows on Garvan's enterprise platforms using tools such as Claude Science for analysis, and writing reusable bioinformatics Skills
Present research at internal and external seminars and conferences
Contribute to training programs through helping to run workshops, participating in code reviews, and supporting students and junior staff
All staff are required to comply with Garvan’s workplace polices (as amended from time to time) and especially Garvan’s Work Health & Safety (WHS) Policy, including working in accordance with the WHS management system at all times, as safety is Garvan’s number one priority.
ABOUT YOU
The key skills and experience required include:
PhD degree, completed or nearing completion, in a related area of science or engineering
Sound statistical knowledge and programming skills
Good knowledge of biology
Analysis of high-throughput datasets, including quality control, unsupervised and supervised analyses, with emphasis on biological interpretation
Experience analysing and interpreting -omics data such as single-cell genomics, spatial…