Biostatistician

• Opportunity to provide statistical support to a research group of the Sydney School of Public Health in the Faculty of Medicine and Health

• Full time, fixed term until 31st May 2025

• Base Salary starting from $113,184 + 17% superannuation

About the opportunity

As a Biostatistician, you will be in a research-focused academic Level B position working within the School of Public Health. You will have the opportunity to refine your expertise in health services and inequalities research and contribute to the University's standing as a national leader in the discipline.

You will have the opportunity to lead statistical analyses of large-scale administrative datasets as part of an externally funded project on ethnic inequalities in receipt of evidence-based care for cardiovascular disease. The research will involve a novel data linkage that will be linking the Australian Census and other Commonwealth health datasets to NSW health data.

Your key responsibilities will be to:

• develop and implement complex statistical analysis plans to examine inequalities in the incidence, prognosis and receipt of evidence-based care for cardiovascular disease by ethnicity

• work within a tight-knit team, reporting to the Associate Professor

• enhance a research profile that meets University expectations and standards

• provide high-quality statistical advice and support to researchers, collaborators and research students

• for interested applicants to contribute to biostatistical methods teaching in the school.

About you

This is a perfect opportunity for a Biostatistician to extend their expertise in health services research, causal inference methods and health inequalities research. An ideal candidate should have:

• a PhD in Biostatistics, Epidemiology, Data Science or related discipline

• relevant publications within Biostatistics, health services research or other related field and an interest in further establishing their academic track record

• an interest in research aimed at reducing health system inequalities, including those experienced by refugees and asylum seekers

• high level statistical and data analysis skills in advanced analytic methods including causal inference and prognostic/risk prediction modelling

• proven experience in using statistical software including either Stata or R

• evidence of strong data management skills and experience with managing large linked administrative datasets

• demonstrated capacity to communicate effectively

• demonstrated capacity to work as part of team and build relationships with other collaborators and stakeholders

• demonstrated ability to organise and prioritise work, sometimes under pressure with competing priorities and sometimes limited supervision.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

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 support filling out this application, please contact Rachel Strong, Recruitment Operations, on 02 8627 7612 or by email to [email protected]

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Applications Close

Sunday 09 October 2022 11:59 PM