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. 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 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. 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 Ajaypal Singh, Recruitment Operations by email to ajaypal.singh@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 Thursday 14 May 2026 11:59 PM