Who we are The Biosecurity Strategy and Reform Division 's focus is on protecting Australia from increasing biosecurity risks to agriculture, the environment and our way of life by continuously improving the national biosecurity system, providing quality, evidence-based policy advice and reform agendas to the department executive, Minister and Australian Government and working closely with our internal and external stakeholders. The division supports the operation and improvement of the biosecurity system by providing innovation, data, reporting, policy reform, coordination, intelligence, risk modelling and strategic advice. The Risk, Intelligence and Strategy Branch is responsible for supporting and enhancing strategic decision-making through intelligence analysis, risk modelling and analysis, governance practices and modern biosecurity legislation. This branch is responsible for supporting the Biosecurity and Compliance Group to identify the next horizon of risks, threats and disruptions. It is also developing frameworks to enable strategic thinking to be embedded within line areas. The Biosecurity System Modelling Section works at the interface of analytics, modelling, and biosecurity policy. We develop solutions to model how biosecurity in Australia is performing at a whole-of-system level. We collaborate broadly, both with internal policy areas and external experts in biosecurity modelling. The key duties of the position include The Job You will lead data-driven analysis and engage with experts and stakeholders across the department to strengthen risk modelling and resource planning within the biosecurity system. In this role you will: Develop and enhance a model of biosecurity expenditure using R/RStudio Source, integrate, and prepare data from departmental databases and external sources to support risk modelling. Build and maintain strong relationships with policy teams, technical experts, senior leaders, and other stakeholders to improve data quality, refine models, and align outputs with end-user needs. Communicate insights through data visualisation and clear written and verbal explanations of data sources, methods and results. Apply robust version control and documentation practices. Collaborate on cross-functional modelling projects led by the section.
