Research Fellow in Quantum Omics Full-time

Research Fellow Quantum Omics

Pioneer quantum–omics method development in a leading statistical biology lab / shape your independent research profile and publication record / collaborate across QUBIC, Melbourne Integrative Genomics and global interdisciplinary partners.

Apply now to drive rigorous, high-impact statistical omics research and shape quantum-enabled analysis of biological systems.

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 lead statistical and computational methods development for high-dimensional omics and cell-level data at the quantum–biology interface. You will design reproducible software, publish internationally, and build collaborations across QUBIC, Melbourne Integrative Genomics and beyond.

What you will deliver:

• Lead development, evaluation and benchmarking of statistical and quantum-inspired methods for high-dimensional omics and cell-based data.
• Develop and maintain reproducible research software, workflows and documentation using robust version control and good coding practices.
• Collaborate with QUBIC partners and interdisciplinary researchers to translate new methods into applied analyses and usable tools.
• Contribute to funding proposals, project reporting, seminars and conferences that disseminate findings and strengthen collaborations.
• Support supervision of students and junior researchers, and engage in School and QUBIC service and outreach activities.

You may be a great fit if you:

• Hold a PhD in statistics, computational biology, quantum computing, or a closely related quantitative discipline.
• Demonstrate research strength in statistical methods development for high-dimensional omics, ideally including single-cell or cell-based data.
• Possess hands-on experience analysing large biological datasets, from preprocessing and quality control to interpretation of results.
• Use GitHub or similar platforms for version control, with an active profile showcasing ongoing code development.
• Show interest or experience in quantum-inspired or quantum computing methods relevant to data analysis and modelling.
• Thrive in multidisciplinary teams, managing multiple tasks and timelines while communicating clearly with diverse collaborators.

For further information please refer to the attached PD.

What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including:

• Build future financial security with 17% superannuation
• Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being
• Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning

• Progressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leave
• Salary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company
• Health and well-being services including a leading Employee Assistance Program

For more information check out our benefits page!

Your new team – “Lê Cao Lab, Melbourne Integrative Genomics (MIG)” You will join the Lê Cao Lab within Melbourne Integrative Genomics in the School of Mathematics and Statistics. This interdisciplinary centre applies advanced maths, statistics and computing to omics data, tackling frontier biological questions. You will work alongside 50+ researchers and QUBIC partners, benefiting from strong collaborations and world-class infrastructure.

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 oied-hr@unimelb.edu.au.

Application essentials:

• Visit “apply with us” to learn more about the process, including tips and FAQs.
• This role is eligible for visa sponsorship and we welcome international applicants. If successful, we will support you through this process.
• 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:
• PhD (or equivalent) in statistics, computational biology, quantum computing, or a closely related discipline.
• Demonstrated research capability in statistical methods development for high-dimensional omics data (ideally including cell analysis), evidenced through PhD work and associated outputs (for example publications, preprints, software, or technical reports), relative to opportunity.
• Demonstrated experience in analysing high-dimensional biological data, including appropriate preprocessing, quality control, and interpretation of results.
• Demonstrated experience in version control on Github and an active GitHub profile evidencing ongoing code development and/or contributions.

Want to know more?

• For queries related to this specific position and 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: 10 July 2026 11:55 PM; Melbourne time zone.

Position Description :

JR-009383 Research Fellow Quantum Omics_PD.docx

JR-009383 Research Fellow Quantum Omics_PD.pdf