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Statistics Jobs in Australia: 2016 July - September

Angela Webster, 15 July 2016


The University of Sydney

Academic Level A/B
Sydney School of Public Health

We are seeking expressions of interest for the position of Biostatistician. This position will contribute statistical analyses to a range of projects on topics related to chronic kidney disease and solid organ transplantation.

Projects will include, for example, changes in the epidemiology of cause-specific mortality over time using national linked dataset), diffusion of new treatment technologies for chronic kidney disease in Australia using national registry data, and on comparing treatment options for people with diabetes and kidney failure in Australia and New Zealand. The role will include work on a large data linkage project being undertaken in partnership with the NSW Ministry of Health, investigating the risk of transmission of infectious disease and cancer from organ donors to recipients.

The successful applicant will be responsible for applying a variety of statistical methods to project data, including survival analyses, regression modelling, standardised mortality ratios, risk prediction modelling and statistical methods for analysing correlated data.

This is a research only position, based at Sydney School of Public Health. The successful applicant will work closely with Associate Professor Angela Webster, clinical epidemiologist and transplant nephrologist, and Associate Professor Patrick Kelly, biostatistician. Training will be provided, and there will be opportunity to develop data management specialist skills, and to attend academic conferences to present project work. The successful applicant will be expected to make an active contribution to papers and new grant submissions arising from this work.

The successful applicant will have a minimum Masters or equivalent degree in statistics, biostatistics or other quantitative discipline and will have strong, demonstrated skills in statistical analysis of complex clinical or epidemiological data. Candidates without these qualifications but who have demonstrated experience may also be considered. We prefer to work in Stata, but knowledge of SAS and other relevant statistical packages is desirable. The successful applicant will also have excellent communication and interpersonal skills.

This position is offered up to full-time, fixed term (35 hours per week) and is available for 12 months, with the possibility of renewal for up to three years. For the right candidate, part time or scaled hours will be considered.

Please direct any enquiries to Angela Webster, on angela.webster@sydney.edu.au, with details of experience and qualifications by Friday 30th July.


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