The role: I am looking for expressions of interest (EOI) for a casual research assistant to undertake basic data analyses and summary reports on a variety of linked health datasets. This would be ideal for a biostatistics or data science student looking for real-world and hands-on experience with research data and to upskill their statistical programming. The role is based at the Sydney School of Public Health, The University of Sydney and would be very flexible, with up to 16 hours a week over 3-6 months. For the right candidate, there is the possibility of future part-time or full-time employment for a fixed term (2-3 years).

The research: You will be working on research projects as part of the Collaborative Centre for Organ Donation Evidence, CODE (more information available: https://organdonationevidence.org.au/). We predominantly undertake kidney disease research with a focus on equity in health service delivery and multimorbidity. We have several competitively funded projects, most of which leverage data linkage to synthesis health data across registers and databases. These include with international collaborators in New Zealand (ASSET-NZ project) and University of Glasgow (SHE-ROCKS project), as well national linkages (CELESTIAL project), and collaborations with state government (ASSET-NSW project, MODUS project, SAFE-BOD project). Across these projects, we are interested in how interactions of sex, race, rurality, socioeconomic indices, mental health, cardiovascular disease and cancer impact upon access to best health care and outcomes, with the aim to re-design services to mitigate disadvantage.

About me (your supervisor):  Dr Nicole De La Mata is an early-mid career biostatistician research and senior lecturer in Biostatistics at the University of Sydney. Her expertise lies in establishing data linkage studies and using these to apply advanced statistical models to understand patient journeys and complex clinical scenarios. She teaches into several biostatistics units offered as part of the Biostatistics Collaboration of Australia and as part of postgraduate degrees in the Sydney School of Health. Her passion lies in teaching students how to make use of real-world data, refining their statistical programming skills to be most efficient and data visualisation skills. In 2021, she received the "Good Mentor Award" for her commitment and excellence in mentoring research students.

For more information about this role or if you are keen to apply, please contact Dr Nicole De La Mata (nicole.delamata@sydney.edu.au) with relevant documentation (e.g. CV, resume, academic transcripts).