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Job ID: 186541

The University of Sydney

Date Posted May 31, 2022
Title Biostatistician
University The University of Sydney
Sydney, NSW, Australia
Department Faculty of Medicine and Health
Application Deadline Jun. 27, 2022
Position Start Date Available immediately
  • Research Scientist/Associate
  • Public Health/Biostatistics/Epidemiology
    Physical Education & Kinesiology
    Sport & Exercise Science
  • Full time fixed term for 3 years
  • Lead research on physical activity, lifestyle and population health
  • Base Salary depending on experience $110,170 - $131,639 + 17% superannuation

About the opportunity

Charles Perkins Centre and the Faculty of Medicine and Health have an outstanding opportunity for a suitably experienced Research Fellow Biostatistics to join the physical activity, lifestyle, and population health research group (PALPH). This team of researchers are in the top 0.1% most impactful scholars globally and in 2020, co led the development of the WHO Physical Activity Guidelines.

Lead the analyses of large epidemiological cohort studies, involving working with large datasets and undertake statistical work in the area of quantitative epidemiology and interventional research within the Charles Perkins Centre at the University of Sydney in support of the PALPH group.

Your key responsibilities will be to:

  • contribute to methodological aspects of study design, particularly the analytical component of PALPH’s research program
  • undertake statistical analysis of population-level epidemiological and intervention data relevant to PALPH’s research program
  • lead the statistical aspect of publications that will be submitted to peer-reviewed publication
  • provide statistical advice in areas of study design, meta-analytic methods, analysis and interpretation of results to students, and external colleagues and collaborators
  • undertake standard and advanced multivariate modelling and meta-analyses relevant to epidemiology, public health, interventions, and clinical sciences
  • perform complex power calculations and develop weighting factors relevant to population health studies
  • lead or assist with meta-analytical and other advanced data synthesis work.

About you

  • relevant Masters or PhD in statistics or biostatistics, with demonstrated experience in applying advanced statistical analysis methods such as multivariate modelling including cohort study data, using R as well as expertise with software packages such as SAS or similar
  • extensive experience in contributing to peer-reviewed publication involving cohort studies, evidence by a list of publications in reputable journals
  • sound understanding of cohort study design and such analytic methods, and some understanding of interventional designs and analysis
  • strong skills in data management of large health-related datasets preferably cohort studies or biobanks
  • flexible work options available.

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

To be considered for this opportunity, please prepare a detailed cover letter, outlining how you meet the following criteria:

  • Please describe your R skills for applying advanced statistical methods to analyse cohort study (and/or) intervention research data. If you have no significant experience in R please describe your proficiency with other statistical packages.
  • Please describe your skills and experience in data management of large health-related datasets.
  • Please describe your experience with contributing to peer reviewed publication

Applications can be submitted here -

Applications Close

Monday 27 June 2022 11:59 PM

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The University reserves the right not to proceed with any appointment.

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