Senior Public Health Officer (Modelling)

  • Singapore
  • Permanent
  • Full-time
  • 9 days ago
[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.

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