"Postdoctoral Research Fellow (Quantum Omics)"

Role type:

Full Time, Fixed Term for 2 years

Faculty: Faculty of Science

Department: School of Mathematics and Statistics

Salary: Academic Level A.6 - $110,319 p.a. plus 17% super

• Lead innovative research, bridge quantum computing and omics and shape future of data analysis
• Apply now to advance the frontier of quantum biotechnology and integrative omics analysis
• Investing in you - 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

As a Postdoctoral Research Fellow in the L Cao lab, you'll spearhead method development at the exciting intersection of quantum computing and integrative omics. You'll have the opportunity to design, evaluate, and benchmark quantum-inspired computational approaches for analysing high-dimensional biological datasets. Working within the ARC Centre of Excellence in Quantum Biotechnologies (QUBIC), you'll contribute to groundbreaking research, collaborate with leading experts, and shape a new direction in quantum-omics integration.

Your responsibilities will include:

• Lead Methodological Research: Develop innovative quantum-inspired algorithms for omics data analysis and multi-omics integration.
• Produce High-Impact Outputs: Deliver internationally competitive research through publications, conference presentations, and reproducible software.
• Foster Collaborations: Work closely with lab members and external partners to translate methodological advances into applied analyses and usable tools.
• Support Research Training: Co-supervise PhD and masters students, providing guidance on research design, analysis, and scientific communication.

You may be a great fit if: You are a highly motivated researcher with a PhD in a relevant field, demonstrating expertise in both omics data analysis and quantum computing methods, with a passion for developing innovative computational approaches to solve complex biological problems.

You may also:

• Have a PhD in statistics, computational biology, bioinformatics, computer science, quantum computing, or a closely related discipline.
• Demonstrate research capability in methods development relevant to quantum computing and omics.
• Possess experience in analysing high-dimensional biological data and applying quantum computing methods to data analysis.
• Have an active GitHub profile evidencing ongoing code development and contributions.

For further information, please refer to the attached PD.

JR-009383 Research Fellow Quantum Omics_PD.doc.docx

JR-009383 Research Fellow Quantum Omics_PD.doc.pdf

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:

• Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being
• Progressive, considerate leave provisions to empower your work-life balance
• Salary packaging and access to a range of discounted services including Bupa health insurance
• Health and well-being services including a leading Employee Assistance Program

For more information check out our benefits page!

Your new team - "L Cao lab, Melbourne Integrative Genomics (MIG)"

https://sites.research.unimelb.edu.au/integrative-genomics | https://lecao-lab.science.unimelb.edu.au/

L Cao lab is part of Melbourne Integrative Genomics (MIG), which has been established in 2017 and is an initiative to strengthen the involvement of statisticians in the advances being made in genomics and computational biology. MIG is an interdisciplinary research centre for the application of maths/stats/computing techniques to omics profiling data to help understand genotype-to-phenotype process in humans and other organisms. MIG includes 50+ members, and provides a wide range of opportunities for exciting research collaborations. The Parkville precinct has the greatest concentration of biological and medical research in Australia, and is among the greatest internationally.http://www.ms.unimelb.edu.auThe University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline.

Join Us and unlock your career potential

If this role is right for you, please apply with the following documents:

• Resume
• Cover Letter outlining your interest and experience
• The responses against the following Selection Criteria

1. PhD (or equivalent) in statistics, computational biology, bioinformatics, computer science, quantum computing, or a closely related discipline.
2. Demonstrated research capability in methods development relevant to quantum computing and omics, evidenced through PhD work and associated outputs (for example publications, preprints, software, or technical reports), relative to opportunity.
3. Demonstrated experience in analysing high-dimensional biological data, including appropriate preprocessing, quality control, and interpretation of results.
4. Demonstrated experience applying or developing quantum computing methods relevant to data analysis (use of simulators acceptable), with clear understanding of limitations and appropriate evaluation.
5. Demonstrated experience in version control on Github and an active GitHub profile evidencing ongoing code development and/or contributions

Learn more about the application process, including tips and FAQs.

For recruitment queries, email Anna at hr-careers@unimelb.edu.au. Include the Position Number and Job Title in the subject line. Please do not send applications to this email address.

For job-specific queries, refer to the contact details in the Position Description.

Applications close: 6 April 2026. 11:55 PM; Melbourne time zone.