[What the role is]

The Vector Control Operations Division (VCOD) safeguards public health through the surveillance, prevention and control of vector-related diseases and risks in Singapore.

We are looking for an analytical and motivated individual to join the Surveillance and Analysis branch. You will work with surveillance and operational data to monitor vector risks, identify emerging trends and translate findings into actionable insights for operational planning and decision-making.

The role combines established surveillance functions with opportunities to strengthen how we work through geospatial analytics, automation, data visualisation and emerging analytical tools.

[What you will be working on]

What you will be working on:

• Monitor and assess vector trends using surveillance, inspection, public feedback, enforcement, and other operational data
• Develop surveillance and analytical products such as reports, dashboards, and maps to support situational awareness and operations.
• Apply geospatial and quantitative analysis to identify spatial patterns, risks and potential drivers, and support prioritisation and targeting of interventions
• Strengthen surveillance methods and capabilities by developing indicators, clustering and risk-scoring approaches, and using automation, AI, and other digital tools to improve early detection and productivity
• Translate insights into action by working with operational and technical stakeholders to address business needs and turn analytical findings into practical recommendations

[What we are looking for]

What we are looking for:

• Strong analytical and critical-thinking skills, with an interest in applying data to real-world operational challenges
• Experience in processing, analysing and visualising large datasets, with familiarity in analytical techniques such as trend analysis, clustering, regression, risk scoring or statistical testing
• Familiarity with tools such as Python, R, ArcGIS or Power BI would be advantageous
• Ability to communicate analytical findings clearly to technical and non-technical stakeholders
• Curious and adaptable, with an interest in using automation, AI and emerging technologies to improve ways of working
• A background in public health, epidemiology, statistics, data analytics, geography/GIS, environmental science or a related discipline would be advantageous