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.

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.

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.

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.