Research Fellow, Statistical Omics Full-time NEW

Research Fellow, Statistical Omics

Role type: Full time; Fixed Term (2 years) Faculty: Faculty of Science School: School of Mathematics and Statistics Salary: Level A $87,266 – $118,416 p.a. plus 17% super

Work at Melbourne Integrative Genomics within the Lê Cao lab / drive cutting-edge multi-omics methods and software / collaborate across a leading biomedical and biological science precinct

Join a leading computational and statistical lab at the frontiers of omics and shape next-generation methods with global research impact.

Investing in you – 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.

The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website.

Your next career opportunity You will develop innovative statistical methods for high-throughput omics data in the Lê Cao lab. You will contribute to internationally visible tools like mixOmics, collaborate widely, and build a strong publication record.

What you will deliver:

• Develop advanced statistical methods and multivariate models for integrative analysis of high-dimensional omics datasets.
• Produce high-quality research outputs, including peer-reviewed publications, conference presentations.
• Build and maintain reproducible software, workflows, and documentation, including contributions to the mixOmics ecosystem.
• Collaborate with internal and external researchers to translate methods into applied omics analyses and usable tools.
• Support training activities, student supervision, and Melbourne Integrative Genomics seminars and events.

You may be a great fit if you:

• Hold or are near completion of a PhD in bioinformatics, computational biology, or statistics.
• Demonstrate strong capability in developing statistical methods for high-dimensional omics data.
• Bring experience analysing diverse omics datasets, from preprocessing through interpretation and biological insight.
• Maintain an active GitHub profile with well-documented code, version control, and collaborative contributions.
• Possess familiarity with R packages, multivariate analysis, and HPC or cloud-based computational environments.
• Show enthusiasm for mentoring students, engaging in seminars, and contributing to an inclusive research culture.

Your new team – School of Mathematics and Statistics Within the School of Mathematics and Statistics, you will join the Lê Cao lab at Melbourne Integrative Genomics. This interdisciplinary centre unites statisticians, bioinformaticians, and biologists to tackle complex genotype–phenotype questions using omics data. You will benefit from collaborations across the Parkville biomedical precinct and a supportive Faculty of Science community.

Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb.

We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process.

Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff. Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at korin-korin@unimelb.edu.au.

Application essentials:

• Visit “apply with us” to learn more about the process, including tips and FAQs.
• You must have current valid work rights for Australia. Visa sponsorship is not available for this role.
• A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.
• Please upload your resume and a cover letter outlining your interest and experience as part of the application process.
• Please upload your responses to the following Selection Criteria as a separate document:
• PhD (or near completion) in Bioinformatics, Computational Biology, Statistics
• Demonstrated research capability in statistical methods development for high-dimensional omics data, evidenced through PhD work and associated outputs (for example publications, preprints, software).
• Demonstrated experience in analysing high-dimensional biological data, including appropriate preprocessing and interpretation of results.
• Demonstrated experience in version control on Github and an active GitHub profile evidencing ongoing code development and/or contributions
• Demonstrated ability to work effectively in a multidisciplinary research environment and communicate clearly with technical and non-technical collaborators.
• Demonstrated organisational skills and ability to manage tasks to deliver outcomes to agreed timelines.

Want to know more?

• For queries related to this specific position, contact Kim-Anh Lê Cao at kimanh.lecao@unimelb.edu.au
• For questions related to our recruitment process email Lachlan Bryce at hr-careers@unimelb.edu.au
• For recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments').

Apply today, and join a community that's shaping the future.

Applications close: 2 September 2026 11:55 PM; Melbourne time zone.