Research Associate in Quantitative Methods
About the job
This job offers an exciting opportunity to join a collaborative research team at the Sydney School of Public Health or Charles Perkins Centre as a Research Data Associate. You'll play a vital role in supporting nationally significant research in type 1 diabetes, contributing to data analysis and predictive modelling that informs early life course determinants of disease. The team values collaboration and innovation, creating a supportive environment for professional growth.
You'll be responsible for
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Conducting quantitative analysis
Conduct quantitative analysis and statistical modelling into the prediction, screening and early detection of type 1 diabetes.🤝
Collaborating with research teams
Work closely with Assoc Prof Kylie Ann Mallitt, Dr Kirstine Bell and their wider research teams to design and conduct analyses, interpret datasets, communicate findings and contribute to high-quality research outputs.🌱
Developing research capability
Develop and refine independent research capability while contributing to broader faculty and project activities.Key criteria
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Statistical analysis experience
Advanced skills in conducting statistical analyses in health research.View
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Understanding of quantitative methods
Demonstrated knowledge of regression modelling and related techniques.View
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Experience with statistical software
Proficiency in using tools like R for data analysis.View
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