Organisation/Company UNIVERSITY OF SYDNEY Research Field Biological sciences Computer science Mathematics Researcher Profile Leading Researcher (R4) Application Deadline 3 Sep *********:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
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.
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:
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.
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 (Townsville)
🏢 EURAXESS Ireland
📍 Townsville