We’re seeking a highly motivated Senior Real-World Evidence (RWE) Data Scientist with strong expertise in both statistical methodology and programming to support evidence generation from large-scale health care data.
What you will do
- 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 are in high quality and satisfy analysis requirements
- Provide technical and programming expertise to independently deliver analytical outputs
- Collaborate with cross-functional tams to develop and refine data, analytic procedures and programming workflows.
- Manage and contribute to the standardization and automation of data processing workflows, including the development of reusable programming templates and data refreshes.
What you will bring
- 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 system
What you get in return
- Sydney location working with international team
- 6 Month Fixed Term Contract (potentially moving into Perm)
- Salary around $150-165k plus super prorated.