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Research associate - biostatistics

Sydney
University Of Sydney
Posted: 4 April
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.

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 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
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