Garvan Institute of Medical Research brings together world leading scientists and clinicians to advance understanding of disease, particularly cancer, autoimmunity and genetic disorders. Our mission is to make discoveries that will improve health for all.
The Opportunity
The Bioinformatician/Statistician will lead the computational analysis of a comprehensive multi‐omics dataset focused on the prostate microenvironment. The role contributes to research investigating how distinct populations of stromal fibroblasts influence prostate cancer development and progression.
Snapshot of Benefits
* Generous salary packaging to boost take‐home pay (max. $15,900 general expenses + $2,650 meals/accommodation)
* Opportunities for ongoing training and development
* Stimulating, diverse and highly international research environment
* Flexible work arrangements (start/finish times)
* 18 weeks paid parental leave for both parents (incl. superannuation)
* Additional leave types: cultural leave, conference leave, community service, study leave
* Discounted health insurance and lifestyle discounts through community partners
What You Will Do
Essential duties and responsibilities include:
* 3D genomic analysis: analyze architectural and enhancer‐promoter looping using Hi‐C and pcHi‐C data.
* Network inference & statistical integration: perform MOFA+ analyses to identify latent factors and infer transcription factor‐driven gene regulatory networks.
* Single‐cell data analysis: process, analyze and integrate scMethyl‐RNA with scRNAseq data.
* Deep learning for genomics: use AlphaGenome API to predict functional consequences of sequence variations.
* AI & agentic workflows: implement and deploy agentic AI systems to streamline data processing, automate literature integration and accelerate hypothesis generation.
* Collaborate with wet‐lab scientists to interpret findings and design targeted validation experiments.
* Strategic design, leadership, stakeholder engagement and mentoring of junior scientists.
* Communicate scientific findings to technical and non‐technical audiences.
* Active participation in weekly group meetings, institute‐wide forums, and contribute to scientific publications.
* Stay current with literature and drive adoption of cutting‐edge bioinformatics/AI tools.
* Proactively identify, assess, and report risks under the organisation's Risk Management Framework.
Health, Safety and Risk Management
Ensure all activities are conducted in accordance with established policies and contribute to a culture of continuous improvement by suggesting mitigation strategies for identified hazards or inefficiencies.
About You
* Education: PhD (or MSc with 3+ years of relevant experience) in Bioinformatics, Computational Biology, Genomics or related field.
* Programming: Advanced proficiency in Python and/or R, + shell scripting (Bash) for HPC environments.
* Omics expertise: Proven experience analysing transcriptomic and epigenetic data (RNA‐seq, ATAC‐seq, ChIP‐seq, WGBS, WGS).
* AI/ML proficiency: Practical knowledge of modern AI applications in biology, including APIs for deep learning genomic models (AlphaGenome) and LLM‐based agents.
* Statistics: Strong background in statistical modelling and dimensionality reduction.
* Desired (but not required):
o Experience with 3D genomics (Hi‐C, Capture Hi‐C, ChIA‐PET)
o Analysing GWAS data
o Background in cancer biology or stromal/fibroblast biology
* Excellent written and oral communication skills.
* Highly organised, proactive, and committed to continuous delivery of high‐quality work.
Employment Type
1‐year fixed‐term, full‐time.
Only applicants with full working rights in Australia are eligible to apply.
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