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MONASH UNIVERSITY

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Research Fellow (Computational Microbiome Scientist) Monash University in Australia

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Nov 6, 2026

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Country

Australia

University

MONASH UNIVERSITY

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Keywords

Computer Science
Biomedical Engineering
Biology
Statistical Analysis
Cancer Research
Python Programming
Medical Science
Salud Pública
High Performance Computing
Statistics
Bioinformatic

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About this position

Research Fellow (Computational Microbiome Scientist) at Monash University will join the Gunjur Laboratory at Box Hill Hospital and contribute to a growing computational microbiome research program. The role is embedded in a university research environment that combines clinical and laboratory science with strong computational support.

The project investigates relationships between the human-associated microbiome, diet, and cancer outcomes. The successful researcher will work across prospective clinical cohorts, biospecimens, shotgun metagenomics, and large public datasets, helping to build evidence on how microbiome patterns connect to cancer-related outcomes.

Day-to-day work includes developing and applying bioinformatics methods for shotgun metagenomic sequencing and other omics datasets, establishing reproducible computational workflows, supporting study design and data curation, and carrying out statistical analysis and data integration. The role also involves producing publication-quality figures, reports, and presentations, plus contributing to manuscripts, grant applications, and the supervision and training of research students.

The position works closely with the principal investigator in an active research program focused on microbiome and cancer research. It is a fixed-term research appointment within Monash University, offering the opportunity to contribute to an important and expanding area of computational biomedical research.

Funding details

Available

What's required

An honours degree and/or progress towards or completion of a doctorate in a relevant or closely related field is required. Strong analytical and manuscript preparation skills are required, along with experience analysing complex clinical or biological datasets, ability to develop well-documented code in R, Python or another bioinformatics language, and experience analysing shotgun metagenomic data. Knowledge of other -omics analysis, Unix-based systems and high-performance computing will also support success, together with strong communication, organisational and collaborative skills.

How to apply

Read the Monash Jobs how-to-apply instructions and submit an application through the advertised application link. Address the Key Selection Criteria in your application.

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