Job Description

What the role is:
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.
• Long-term projections: Deriving long-term disease burden and making future-looking predictions.

What we are looking for:
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.
• Prepare and present project outputs to stakeholders

Job Requirements:

• Minimally a recognised education in a quantitative discipline (e.g. mathematics, physics, computational biology or economics).
• Minimum 3 years of relevant experience in modelling infectious disease dynamics or in a comparable specialism.
• Demonstrated experience of programming in PYTHON and/or R, or any other directly transferrable language e.g. C++.
• 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.
• Ability to work with considerable initiative and independence and as a team member in a multidisciplinary team.
• 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.

About Communicable Diseases Agency:
The Communicable Diseases Agency (CDA) was established in 2025 as a statutory board under Singapore's Ministry of Health (MOH) to serve as the central authority for public health policymaking to manage and control the threat of communicable diseases. This is aimed at strengthening Singapore's public health capabilities built during the COVID-19 response to ensure a unified command and coordinated approach across all situations, from routine disease control to future outbreaks. CDA safeguards the nation from communicable diseases through disease surveillance, outbreak investigations, vaccination programs, public education, and global health collaboration. Beyond domestic activities, the CDA aims to expand Singapore's global outreach and foster collaboration with international partners.

Skills Required