As an officer in the Advanced Methods and Analytics Division, you will be part of a team that conducts infectious disease modelling to inform national policy development, surveillance and preparedness. This role requires not only relevant technical expertise but preferably a broad scientific knowledge of infectious diseases as well. You will be working in a fast-paced and dynamic environment that would require the ability to manage multiple priorities and stakeholders at the same time.

What you will be working on:
You will develop and deploy cutting-edge mathematical models on infectious disease related projects. Your work will transform complex data into clear, actionable insights that support evidence-based public health decision making and interventions. The core areas of work will include, but are not limited to:

Nowcasting and forecasting: Predicting infectious disease dynamics in real-time.
Scenario modelling: Simulating potential outcomes of different disease scenarios, public health strategies and interventions.
Program/Intervention evaluations: Performing impact and economic evaluations of public health programs and interventions.
Long-term projections: Deriving long-term disease burden and making future-looking predictions.

Key Job Responsibilities:
Develop and deploy infectious disease transmission-dynamic models to address key national communicable disease concerns.
Partner with stakeholders to design, develop and address project-related questions, identify knowledge gaps, and address key gaps through appropriate analysis.
Adapt and extend existing state-of-the-art models, or design and build new models where appropriate.
Parameterise models by analysis of appropriate data and literature review.
Synthesise evidence from literature, surveillance and other data sources to understand the natural history and epidemiology of infection, and the effectiveness of control measures.
Lead project from inception to completion, defining scope, timelines and deliverables, managing risks and ensuring outputs meet required standards of rigour and relevance.
Serve as the primary point of contact for project-related communications, fostering clear and consistent engagement with internal and external stakeholders.
Provide mentorship and develop junior team members

What we are looking for:
Post-graduate qualification in a quantitative discipline (e.g. mathematics, statistics, physics, computational biology or economics). A Ph.D. in infectious disease modelling is preferred.
Minimum 5 years of relevant experience in modelling infectious disease dynamics.
Strong skills in programming in PYTHON and/or R, or any other directly transferrable language e.g. C++.
Strong record of relevant, peer-reviewed publications is preferred.
Demonstrated ability to identify, frame, formulate and solve problems, make judgments based on analysis and interpretation of complex data or situations, as well as assess and devise appropriate responses.
Demonstrated ability to work with initiative and independence and as a team member in a multidisciplinary team.
Demonstrated ability to communicate highly complex ideas, methods, and disseminate results clearly and succinctly to a wide audience of varying technical levels, including non-technical audience.

Attributes and aptitude:
Analytical thinking.
Strong communication and interpersonal skills.
Problem-solving and decision-making capabilities.
Strategic thinking and planning abilities.
Collaborative mindset.
Accountability and ownership