Data Scientist and Modeller - University of Melbourne

Key Responsibilities

• Design, develop, and run Python‑based simulation models to evaluate health interventions and policy options.
• Collaborate with multidisciplinary teams to translate complex health data into actionable insights for governments and organizations.
• Conduct rigorous statistical analysis and validate model outputs against real‑world data.
• Prepare clear, concise reports and presentations for stakeholders, translating technical findings into policy recommendations.
• Maintain and enhance existing simulation frameworks, ensuring reproducibility and scalability.

Requirements

• Strong programming skills in Python, with experience in scientific libraries (NumPy, pandas, SciPy).
• Proven ability to build and validate simulation or discrete‑event models in health or related domains.
• Solid foundation in statistical analysis and data visualization.
• Excellent communication skills, able to convey complex technical concepts to non‑technical audiences.
• Experience working in multidisciplinary research or consulting environments is an advantage.