Must have a Baseline clearance or above.
The Department requires a skilled Data Analyst/Applied Statistician/Programmer to work in a team delivering biosecurity analytics and modelling. The successful candidate will work with fellow statisticians, data analysts, and policy/operational stakeholders to develop and implement biosecurity risk, control, and expenditure modelling approaches to contribute to evidence-based biosecurity policy and operations. The work involves extracting data from multiple sources including data warehouses, data processing, and developing probabilistic and/or simulation models (e.g., modelling conditional probabilities of the approach, entry, establishment and spread of pests and diseases in Australia). Responsibilities will include:
- Extracting and processing data to feed the biosecurity modelling process
- Identifying and documenting data limitations, and developing methods to address these
- Collaboratively applying, maintaining, and developing models in R or Python, in accordance with the team’s version control and documentation approaches and in line with business requirements
- Proactively providing uplift where required to existing models via programmatic improvements
- Contributing to ongoing model development efforts, including collaborative modelling projects being led by the section and with the Centre of Excellence for Biosecurity Risk Analysis at the University of Melbourne
- Engaging with policy areas during the development and implementation of models, including the communication of model results
- Providing written and verbal descriptions of modelling analyses, including appropriate interpretation of the results.
- Documenting modelling approaches and assumptions.
- Extracting and analysing data programmatically, including using applied statistical knowledge; writing and maintaining code (e.g., using SQL, R, Python) following scientific software development good practice
- Demonstrated capability for strategic and systems thinking • Good verbal and written communication, including the ability to communicate technical detail to non-technical audiences and scope project needs with stakeholders
- Ability to work collaboratively in a team on analytics-related projects
- Experience dealing with incomplete and uncertain datasets
- An interest in working at the interface of modelling and policy
- An understanding of Australia’s biosecurity system