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 prospect
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.
Key responsibilities
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 a manner 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.
EEO statement
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.
Applications Close Thursday 03 September *******:59 PM
The University values are excellence, trust and accountability.
The University of Sydney is committed to diversity and social inclusion.
Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged.
The University reserves the right not to proceed with any appointment.
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📌 Postdoctoral Research Associate In Spatial Omics And Statistical Data Science (New South Wales)
🏢 University Of Sydney
📍 New South Wales