Health

Cleaning and analysis of the linked datasets and assistance with the preparation of reports, presentations and scientific manuscript for publication.

You’ll help us present high quality statistical information and interpretation to a wide audience, including commissioners, policy makers, health professionals and researchers.

You will contribute to a project to enhance the capacity of national statistical offices to produce and disseminate good quality and fit-for-purpose statistics on disability for evidence-based policy making and monitoring.

The key purpose of this role is to apply statistical methodology to contribute to improved robustness of manufacturing processes and to support product transfer from research and development to global manufacturing scale.

The role would suit a highly motivated individual with a broad statistical knowledge and the desire to develop and apply new and existing skills to help our clients make the best use of their data.

As a member of the research team, the Researcher will undertake research, conduct literature reviews and draft journal articles as directed by the Lead Investigator on the Second Australian Study of Health and Relationships (ASHR2).

Working within the Intelligence Directorate to provide specialist inferential statistics and data modelling support to analytic functions of the CQC from hands-on analysis to provision of expert advice.

In this position you will support association analyses for large scale datasets. These could include genome-wide association studies or resequencing studies, or risk modelling for verified discoveries, with a particular focus on cardiovascular and respiratory traits.

The three year workplace based training program offers supervised on-the-job learning for people who have completed undergraduate study in statistics. Trainee Biostatisticians rotate through a series of work placements throughout the NSW health system, and undertake a Master of Biostatistics degree at the University of Sydney.

As a member of CfWI’s award-winning analytical and modelling team you will collect and analyse data, develop tools and help to build data-driven models to inform Government decisions. The analysis, models and tools you produce will influence national policy and help inform workforce planning.