About the Role
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. The role also supports the adoption of emerging artificial intelligence approaches, including the application of foundation models such as AlphaGenome to predict the functional consequences of sequence variation, and the development of agentic AI workflows to enhance data processing, automate literature integration and accelerate hypothesis generation.
Responsibilities
- Analyze structural architecture and enhancer-promoter looping using Hi-C and pcHi-C data to physically link active enhancers to target promoters.
- Perform statistical integration to identify latent factors driving fibroblast phenotypes, and infer transcription factor-driven Gene Regulatory Networks.
- Process, analyze, and integrate single-cell methylation and RNA sequencing data.
- Use Google's AlphaGenome API to predict the functional consequences of sequence variations.
- Implement and deploy agentic AI systems to streamline complex data processing tasks, automate literature integration, and accelerate hypothesis generation.
- Work closely with wet-lab scientists to biologically interpret AI and computational findings, assisting in the design of targeted validation experiments.
- Mentor junior scientists in experimental design, execution, and data interpretation.
- Collaborate effectively with internal and external partners.
- Communicate scientific findings clearly to both technical and non-technical audiences.
- Actively participate in weekly group meetings and institute-wide forums.
- Stay current with relevant literature to inform internal decision-making.
- Drive adoption of cutting-edge bioinformatic/AI tools in data analysis and biological interpretation.
- Contribute to scientific publications.
- Proactively identify, assess, and report operational, financial, and safety risks.
- Adhere to the organization’s Risk Management Framework and established policies and procedures.
- Contribute to a culture of continuous improvement by suggesting mitigation strategies for identified hazards or inefficiencies.
Requirements
- PhD (or MSc with 3+ years of highly relevant experience) in Bioinformatics, Computational Biology, Genomics or a related field.
- Advanced proficiency in Python and/or R, alongside shell scripting (Bash) for high-performance computing (HPC) environments.
- Proven experience analyzing standard transcriptomic and epigenetic data (RNA-seq, ATAC-seq, ChIP-seq, WGBS, WGS).
- Strong enthusiasm for and practical knowledge of modern AI applications in biology, including working with APIs for large-scale deep learning genomic models and integrating LLM-based agents into coding workflows.
- Strong background in statistical modelling and dimensionality reduction.
- Demonstrated experience working with and interpreting chromatin conformation capture data (Hi-C, Capture Hi-C, or ChIA-PET).
- Experience with analysing GWAS data.
- Background knowledge in cancer biology, or stromal/fibroblast biology.
- Excellent written and oral communication skills for reports, grant proposals, and public presentations.
- Highly organised with sound administrative abilities and a commitment to continuous delivery of high-quality work.
- Only applicants with full working rights in Australia are eligible to apply.
Skills
- Python
- R
- Bash scripting
- High-performance computing (HPC)
- RNA-seq
- ATAC-seq
- ChIP-seq
- WGBS
- WGS
- AI applications in biology
- APIs for large-scale deep learning genomic models
- LLM-based agents
- Statistical modelling
- Dimensionality reduction
- Hi-C
- Capture Hi-C
- ChIA-PET
- GWAS data analysis
- Cancer biology
- Stromal/fibroblast biology
- Written communication
- Oral communication
- Reporting
- Grant proposal writing
- Public presentations
- Organisation
- Administration
- Quality assurance
Location
- Sydney
Work Type
- 1-year fixed-term
- full-time
Experience Level
- PhD or MSc with 3+ years of highly relevant experience
Education Level
- PhD
- MSc
Benefits
- Generous salary packaging
- 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
About the Company
- 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.
- Garvan Institute of Medical Research is an independent Medical Research Institute (MRI) in Sydney, delivering scientific and clinical impact on a global basis and in partnership with organisations that share our vision.
- We are proud to be one of Australia’s largest and most highly regarded MRI’s.
- Our vision is global leadership in discoveries to impact and our enduring purpose is to impact human health, by harnessing information encoded in our genome.
- We seek to see our world-class discovery research achieve life-changing impacts, not only for individual patients with rare diseases, but for the many thousands affected by complex, common disease.
- The Garvan Institute of Medical Research brings together world leading researchers and clinicians, collaborating locally and globally, to improve human health.
- Our mission is to harness all the information encoded in our genome to better diagnose, treat, predict and prevent disease.
- From the individual patient with rare disease, to the many thousands affected by complex, widespread illness, we are pioneering discoveries across diseases that have the deepest impact on our community.
- Through our key scientific strengths in data, genomics, cellular, translation and clinical science, we aim to catalyse research from fundamental discovery to transformational impact.
- Enabled by cutting-edge technology and world-class facilities, and the support of our passionate Garvan family; our researchers and professional staff strive, every day, to create a future where everyone lives longer, healthier lives.
Equal Opportunity
- Garvan promotes a diverse workplace and is committed to the principles of equity, diversity, inclusion and belonging.
- We are always looking for culture ‘add’, not culture ‘fit’ and are building diverse teams with great sets of complementary styles and skills to help deliver our important work effectively.
