Full-time, 3-year fixed term opportunity with potential to extend
Base Salary Level A/B $ $117,936 - $157,381 p.a + 17% superannuation
About the opportunity
Join the Snow Vision Accelerator to drive a new research and drug‐development initiative at the University of Sydney's School of Mathematics and Statistics, Camperdown Campus.
Develop statistical and computational capability for multi‐omics data analysis and drug discovery.
The Snow Vision Accelerator is an ambitious research and drug development initiative focused on transforming the treatment of glaucoma by uncovering the molecular mechanisms through which ageing and associated metabolic dysfunction increase the vulnerability of the optic nerve to injury and neurodegeneration.
The program integrates cutting‐edge biology, data science, and translational drug discovery to identify, validate, and target age‐related pathways underlying glaucomatous damage, and to develop drugs and new therapies that boost optic nerve resilience and prevent vision loss.
We are seeking to appoint a Postdoctoral Research Associate / Research Fellow within the bioinformatics and pathway discovery platform to be at the forefront of establishing statistical and computational analytical capability for drug discovery‐based research using multi‐omics data analysis.
This role offers the opportunity to contribute to a uniquely integrated research environment, where computational, experimental, clinical and translational expertise are closely aligned within the SVA program, enabling researchers to work side by side and drive discovery through to translation.
The successful applicant will also be part of the Sydney Precision Data Science Centre, the Charles Perkins Centre, and the School of Mathematics and Statistics at the University of Sydney.
In this role, you will be required to:




contribute significantly towards the research effort of the team with increasing autonomy
lead research projects to develop and apply advanced data analysis and computational techniques for multi‐omics data analysis
collaborate with interdisciplinary teams to exchange ideas and leverage complementary expertise across statistics, data science, biology, and clinical and translational research
maintain clear and comprehensive documentation of methods, data analyses, and findings for future reference and knowledge sharing
contribute to, and assist in the joint supervision and training of research students
contribute to bioinformatics and research dissemination workshops where required
undertake administrative duties to support the management of the bioinformatics platform within the Snow Vision Accelerator
About you
completion (or near completion) of a PhD in statistics, data science, computer science, bioinformatics, or a related discipline
research strengths in at least two of the following areas: statistical bioinformatics, computational bioinformatics, applied statistics, computer science, data science and computational biology
strong computational skills
demonstrated ability to conduct research / scholarly activities with limited supervision
demonstrated ability to work co‐operatively and positively in a multidisciplinary research‐based team setting and to engage with people from diverse backgrounds
excellent interpersonal and both written and oral communication skills in English




experience in analysing large‐scale omics datasets in R or python
strong general IT skills, including familiarity with Linux/Unix environments and HPC systems
experience in assisting with the supervision of students undertaking undergraduate or higher degree research projects
good organisational and administrative skills, with attention to detail
Pre‐employment checks
Your employment is conditional upon the completion of all role required pre‐employment or background checks in a manner satisfactory to the University.
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 programmes, 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 LGBTIQ+.
We welcome applications from candidates from all backgrounds.
We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer.
Applications Close
Tuesday 06 October *******:59 PM
The University of Sydney may conduct routine pre‐employment checks before an appointment is made.
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📌 Research Fellow In Multi-Omics Data Science (Sydney)
🏢 University Of Sydney
📍 Sydney