Postdoctoral Research Associate in Spatial Omics, Artificial Intelligence and Computational Pathology

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

Join a world-class interdisciplinary team using AI, spatial omics and digital pathology to improve outcomes for patients with kidney disease

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, artificial intelligence and computational pathology.

The role will develop and apply computational methods for analysing kidney biopsy data, integrating histology, spatial organisation and molecular information to improve diagnostic and prognostic assessment of kidney function. The successful applicant will work with an interdisciplinary team across statistics, bioinformatics, pathology and nephrology, contributing to open-source methods, publications and translational research.

Your key responsibilities will be to:

develop and apply computational methods for analysing spatial omics and histology data from kidney tissue

integrate imaging and molecular data to study how spatial patterns within tissue relate to graft health and disease

work with clinical collaborators to ensure methods are aligned with pathological interpretation and clinical workflows

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.

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 bioinformatics, data science, computer science, statistics, biomedical engineering or a related field

strong programming skills in R or Python

experience working with spatial omics data, histopathological data, or related large-scale biological datasets

ability to work independently and collaboratively within an interdisciplinary research team

strong written and verbal communication skills.

Applicants who demonstrate the following will be highly regarded:

experience working with spatial omics or spatially resolved data in tissue

experience applying AI or machine learning methods to digital pathology or histology data

experience analysing kidney or transplant-related datasets, or familiarity with renal pathology

demonstrated interest in clinical, translational and commercial applications.

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

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

Click to view the Position Description for this role.

Applications Close

Monday 17 August 2026 11:59 PM