• Design and support the execution of RWE studies utilising real-world data sources, including claims, electronic health records (EHRs) and registry data
• Conduct exploratory data analyses to support evidence generation, feasibility assessments and study design refinement
• Participate in database design meetings to ensure that the data collected is of high quality and satisfies analysis requirements.
• Provide technical and programming expertise to independently deliver analytical outputs
• Collaborate with cross-functional teams to develop and refine data, analytic procedures and programming workflows.
• Manage and contribute to the standardisation and automation of data processing workflows, including the development of reusable programming templates and data refreshes.

• Intermediate level in R, SQL, Python or SAS for data manipulation and statistical analysis
• Experience working with real-world data sources such as claims, EHRs, registries etc.
• Experience in supporting HEOR, epidemiology or medical affairs teams
• Familiarity with data platforms or environments such as AWS, Redshift and/or Databricks
• Knowledge of ICD, CPT, NDC and other clinical coding systems

• Sydney location working with an international team
• 6-Month Fixed Term Contract (potentially moving into Perm)
• Salary around $150-165k plus super prorated.

What you need to do now

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