"Postdoctoral Research Associate (Data-Driven Therapeutic Discovery)"

Postdoctoral Research Associate (Data-Driven Therapeutic Discovery)

• Full time, 3-year fixed term position, located on the Camperdown Campus at the School of Life and Environmental Sciences (SOLES)
• A rare opportunity to combine multimodal data analysis with hands-on wet-lab and in vivo therapeutic discovery in a funded translational program
• Base Salary, Academic Level A $113,400 - $121,054 + 17% superannuation 

About the opportunity

The School of Life and Environmental Sciences is currently seeking a Postdoctoral Research Associate (Data‑Driven Therapeutic Discovery) to work closely with the lead investigator, AI collaborators, and research staff on therapeutic discovery programs.

Your key responsibilities will be to:

• design and execute wet‑lab experiments supporting neurological therapeutic development
• perform molecular biology and cloning, including construction of mRNA or expression libraries
• lead in vivo studies, including delivery, tissue collection, phenotyping, and downstream analysis
• integrate and analyse multimodal datasets using Python or R to inform experimental decisions
• contribute to figures, manuscripts, and grant deliverables aligned with funded milestones.

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 a Postdoctoral Research Associate who has:

• a PhD in neuroscience, molecular biology, bioengineering, pharmacology, or a closely related discipline
• strong hands‑on wet‑lab experience, including molecular biology, cloning, and cell‑based assays
• demonstrated experience leading or contributing to in vivo studies, including delivery, tissue collection, and phenotyping
• ability to analyse and integrate experimental datasets using Python or R, including scripting, statistical analysis, and visualization; applicants are encouraged to include links to relevant code or repositories in their CV
• experience working with multimodal or data‑driven research workflows and translating quantitative outputs into experimental decisions
• interest in translational or therapeutic discovery research, with the ability to independently plan and execute experiments.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms 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 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 LGBTIQ+. We welcome applications from candidates from all backgrounds. 

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold 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 employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

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

Sunday 15 March 2026 11:59 PM