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

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 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.

Your next career opportunity
As a Postdoctoral Research Fellow in the Lê 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.

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.

Your responsibilities will include:

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 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.

Please note: Visa sponsorship is available for this position.

A Working with Children Check (WWCC) is required for all positions. If successful, we'll guide you through the WWCC application process during onboarding and reimburse the cost.