Postdoctoral Research Associate in Spatial Omics and Statistical Data Science

Full time, 3 years fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics

Work with leading researchers in statistics and bioinformatics to develop innovative methods that will help unlock the full potential of spatial omics data

Base Salary, Level A $113,634 - $125,896 p.a + 17% superannuation

About the opportunity

The School of Mathematics and Statistics is currently seeking a Postdoctoral Research Associate in Spatial Omics and Statistical Data Science to join an ARC-funded Discovery Project developing statistical and computational methods for the analysis of emerging spatial omics technologies. Working within the Sydney Precision Data Science Centre, they will help develop open-source tools that improve our understanding of spatial organisation within complex tissues.

The successful applicant will be jointly supervised by A/Prof Ellis Patrick and Dr Shila Ghazanfar and based within the Sydney Precision Data Science Centre. They will play a key role in shaping the project's methodological direction and contribute to a collaborative research program spanning statistics, bioinformatics and applied biology.

Your key responsibilities will be to:

develop statistical and computational methods for analysing spatial omics data

work with interdisciplinary collaborators to apply methods to real biological data and interpret results

contribute to the supervision and mentoring of PhD and Honours students within the group

prepare high-quality publications and present research findings at national and international conferences

contribute to open-source software development and documentation to support uptake of the methods.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for an Postdoctoral Research Associate who has:

a PhD in statistics, biostatistics, data science, computer science, bioinformatics or a closely related discipline

strong programming skills in R or Python

experience developing or applying methods to complex or large-scale datasets

ability to work both independently and collaboratively within an interdisciplinary research team

strong written and verbal communication skills.

Applicants who demonstrate the following will be highly regarded:

experience analysing spatial omics data

familiarity with spatial data analysis or statistical modelling

experience with research software development (e.g. R packages, reproducible workflows).

Pre-employment checks and declarations

Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion , evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People , women , people living with a disability , people from culturally and linguistically diverse backgrounds , and those who identify as LGBTQIA+ . We welcome applications from candidates from all backgrounds.

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion .

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Simon Drew Recruitment Operations by email to recruitment.sea@sydney.edu.au

© The University of Sydney

The University reserves the right not to proceed with any appointment.

Click to view the Position Description for this role.

Applications Close

Thursday 03 September 2026 11:59 PM