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Garvan Institute of Medical Research

Genetic disease-focused biomedical research institute

Computational Biologist

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-timeSydney NSW, AustraliaNo salary listedIn-person

About the Job

Requirements

  • A PhD degree, completed or nearing completion, in a related area of science or engineering.
  • Sound statistical knowledge and programming skills.
  • Good knowledge of biology.
  • Experience analyzing high-throughput datasets, including quality control, unsupervised and supervised analyses, with emphasis on biological interpretation.
  • Experience analyzing and interpreting omics data such as single-cell genomics, spatial technologies, RNA sequencing, whole-genome sequencing, and clinical biomarker data.
  • Comfort working with Unix and in a high-performance computing environment.
  • Proficiency in at least one scripting language, R or Python.
  • Familiarity with version control systems, particularly Git.
  • Exposure to, or willingness to learn, software containers, workflow management systems, databases, and cloud computing.
  • Proficiency with agentic AI tools for coding and familiarity with best practices around generative AI.
  • Publications commensurate with career stage.
  • Ability to work across multiple projects and manage competing priorities.
  • Strong attention to detail, including maintaining well-structured code and documentation that allows reproducible work on complex datasets.
  • Enthusiasm for learning new methods and working collaboratively to support computational analysis across the Garvan community.
  • Full working rights in Australia are required.

Responsibilities

  • Contribute to computational analysis projects at Garvan, including liaising with collaborators, planning and executing analyses, identifying and helping resolve issues, and selecting suitable computational approaches.
  • Analyze data with emphasis on biological interpretation, including data processing, quality control, unsupervised and supervised analyses, statistical modeling, and visualization.
  • Prepare figures for publication and contribute to manuscript writing.
  • Contribute to experimental design and planning.
  • Create and maintain modular and reusable workflows using 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 and 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 by helping run workshops, participating in code reviews, and supporting students and junior staff.
  • Comply with Garvan workplace policies, particularly the Work Health and Safety Policy, and work in accordance with the WHS management system.

About the Company

Garvan Institute of Medical Research

Genetic disease-focused biomedical research institute

Garvan Institute of Medical Research conducts biomedical research to understand how genes, molecules, and cells influence health and disease, aiming to prevent and treat major illnesses. It combines fundamental science with strong clinical collaborations to translate discoveries into medical advances. What sets Garvan apart is its sustained, long-term work that integrates laboratory research with direct clinical interactions across a range of diseases, not just one specialty. Its goal is to prevent, treat, or cure major diseases such as cancer, diabetes/obesity, neurological disorders, osteoporosis, and immunological diseases by uncovering mechanisms and developing new therapies.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Sydney NSW, Australia
Founded
1963

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