Position Overview
Full‐time, fixed‐term opportunity for 12 months with possibility of extension. Based at the Charles Perkins Centre. Base salary starting at $89,831–$121,054 plus 17% superannuation.
About the Opportunity
We are seeking a Biostatistician to apply and further develop 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.
Key Responsibilities
* 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 to 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.
Work Rights and Sponsorship
You must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment.
Pre‐employment checks
Employment is conditional upon completion of all role‐required pre‐employment or background checks satisfactory to the University. Ongoing employment is conditional upon satisfactory maintenance of all relevant clearances and background check requirements. If conditions are not met, the University may take necessary steps, including termination of employment.
EEO Statement
At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through 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.
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