The Department requires a skilled Data Analyst/Applied Statistician/Programmer to work in a team delivering biosecurity analytics and modeling. The successful candidate will work with fellow statisticians, data analysts, and policy/operational stakeholders to develop and implement biosecurity risk, control, and expenditure modeling 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. modeling conditional probabilities of the approach, entry, establishment, and spread of pests and diseases in Australia).
Responsibilities:
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 on-going 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.
This is an ACT-based role with at least 2 days a week working in the office.
Must have a minimum of baseline clearance to apply
If this sounds like the right role for you call Emilia for a confidential discussion at 0452569914 or email your resume at emilia.i@interpropeople.com
