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 OPPORTUNITYThe 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 BENEFITSGenerous 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 developmentStimulating, diverse and highly international research environmentFlexible work arrangements e.g.



start / finish times18 weeks paid parental leave for both parents including paid superannuationA range of additional leave types to meet your personal needs including cultural leave, conference leave, community service and study leaveDiscounted Health InsuranceLifestyle discounts with our community partnersWHAT YOU WILL DOThe

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 approachesAnalyse data with emphasis on biological interpretation, including data processing, quality control, unsupervised and supervised analyses, statistical modelling, visualisationPrepare figures for publication, contribute to manuscript writingContribute to experimental design and planningCreate and maintain modular and reusable workflows through use of container and workflow management technologiesAdhere to and help develop best practices, including evaluation and benchmarking of existing methodsStay informed on advances in computational methods; build biological domain expertise relevant to the analysis projectsBuild and use agentic AI workflows on Garvan's enterprise platforms using tools such as Claude Science for analysis, and writing reusable bioinformatics SkillsPresent research at internal and external seminars and conferencesContribute to training programs through helping to run workshops, participating in code reviews,



and supporting students and junior staffAll 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 YOUThe key skills and experience required include:PhD degree, completed or nearing completion, in a related area of science or engineeringSound statistical knowledge and programming skillsGood knowledge of biologyAnalysis of high-throughput datasets, including quality control, unsupervised and supervised analyses, with emphasis on biological interpretationExperience analysing and interpreting -omics data such as single-cell genomics, spatial technologies, RNA-seq, whole-genome sequencing, clinical biomarker dataComfortable working with Unix and in an HPC environmentProficient in at least one scripting language (R, Python)Familiar with version control systems (particularly Git)Exposure to, or willingness to learn, software containers, workflow management systems, databases and cloud computingProficient with the use of agentic AI tools for coding, familiarity with best practices around the use of generative AIPublications commensurate with career stageStrong written and verbal communication skillsAbility to work across multiple projects and manage competing prioritiesStrong attention to detail
- Maintain well-structured code and documentation that allows for reproducible work on complex datasets.
Enthusiasm for learning recent methods and working collaboratively to support computational analysis across the Garvan communityABOUT GARVANGarvan Institute of Medical Research is an independent Medical Research Institute (MRI) in Sydney, delivering scientific and clinic

📌 Computational Biologist (Sydney)
🏢 The Garvan Institute of Medical Research
📍 Sydney