Organisation/Company UNIVERSITY OF SYDNEY Research Field Other Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 9 Apr 2026 - 00:00 (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, fixed term opportunity for 12 months with possibility of extension
* Exciting opportunity to be a Biostatistician based at the Charles Perkins Centre
* Base Salary starting at $89,831 - $121,054 + 17% superannuation
About the opportunity
We are seeking a Biostatistician to apply and further develop their expertise in research methodologies and statistical analysis within population-level epidemiological research. The role spans lifestyle epidemiology, multi-omics, and cardiometabolic health, with a focus on generating high-quality, data-driven evidence. The successful candidate will contribute to research projects both independently and collaboratively, supporting study design, advanced analyses, and the translation of findings.
Your key responsibilities will be to:
* contribute to the design and analysis of epidemiological and clinical studies, including longitudinal and time-to-event data
* apply advanced statistical modelling techniques using R, demonstrating strong proficiency in data analysis and reproducible workflows
* manage large health research datasets and data access applications
* provide statistical advice and mentoring to students within the discipline and external colleagues and collaborators.
* contribute to the drafting of scientific papers
* develop and refine independent research skills under the supervision of senior academic staff
* carry out administrative tasks efficiently, demonstrating strong organisational and time management skills
* contribute to a positive workplace culture in which diversity of thought, collaboration, excellence and achieving outcomes are valued and enabled
* undertake other duties and contribute to projects appropriate within the classification level as required.
About you
* Masters/PhD in a relevant field is preferred or an equivalent combination of relevant training and experience
* demonstrated understanding of statistical modelling approaches commonly used in epidemiology (e.g., regression, survival analysis), with willingness to develop further expertise
* experience conducting original research and engaging in scholarly activity
* ability to work with complex, large-scale cohort or clinical datasets is desirable
* Demonstrated initiative and ability to deliver high-quality work in both supervised and independent settings
* foundational understanding of data management principles for large health-related datasets, with a willingness to further develop these skills
* strong skills in research, planning and organisation, computer literacy, effective presentations, and communication.
Sponsorship / work rights for Australia
Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment.
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.
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 Ajaypal Singh, Recruitment Operations by email to .
The University reserves the right not to proceed with any appointment.
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