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Data Scientist and Data Manager, ePPOC

2 months ago


Wollongong City Council, Australia Health Services Research Association of Australia & New Zealand Full time
About the Role

This is a fixed-term, full-time appointment for a period of two years. The successful candidate will be employed at a level 8/9, with a salary range of $113,063 – $140,000 per annum, plus superannuation.

The position is based at the University of Wollongong Innovation Campus, with remote working arrangements and part-time options available in line with the university's policies and business needs.

About the Team

The Applied Statistics in Health team is a research consortium within the Faculty of Science, Medicine and Health, which aims to improve services and outcomes for patients through benchmarking of care and treatment, and supporting service improvement.

The team generates robust evidence through its provision of clinical quality registries in rehabilitation, pain, and palliative care.

About the Project

The electronic Persistent Pain Outcomes Collaboration (ePPOC) is an initiative within the Applied Statistics in Health team, established in 2013 with the Faculty of Pain Medicine.

ePPOC collects a standard set of clinical information from specialist pain services, which is used to guide treatment for individual patients, measure outcomes following treatment, and provide a benchmarking system for the pain sector.

About the Job

In this role, you will be responsible for data management, analysis, and reporting of a large Australasian chronic pain outcomes dataset.

You will lead activities of the ePPOC data team, who maintain and develop the ePPOC dataset and outputs through quality improvement, methodological innovation, and technological change.

Requirements
  • A relevant degree with a strong mathematical/statistical component, preferably at postgraduate level (relevant industry experience may be deemed equivalent to a postgraduate qualification).
  • Demonstrated experience in data management, project management, and data analysis and modelling with large datasets using SAS and R (three years' experience in one, and willingness to further develop skills in the other).
  • Experience with automated workflows, such as integrating statistical results into other environments, along with a broad understanding of the Australian and/or New Zealand health care system.
How to Apply

You will be prompted to respond to a selection criteria questionnaire as part of the application process. Please also attach your CV to your application.