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Senior Principal Analyst (Informatics Section)

Agency: National Environment Agency
Job no.: SPA(IS)/EHI/100719
Work type: Permanent/Contract
Location: Singapore
Categories:Research and Analysis, Sciences (e.g. life sciences, bio-technology etc.), Statistics

Formed on 1 July 2002, the National Environment Agency (NEA) is the leading public organization responsible for improving and sustaining a clean and green environment in Singapore.

The NEA develops and spearheads environmental initiatives and programmes through its partnership with the People, Public and Private sectors. It is committed to motivating every individual to take up environmental ownership and to care for the environment as a way of life.

By protecting Singapore's resources from pollution, maintaining a high level of public health and providing timely meteorological information, the NEA endeavours to ensure sustainable development and a quality living environment for present and future generations.

You will work at the Environmental Health Institute, a multi-disciplinary scientific environment which focuses on forging and maintaining strategic collaborations with local and international partners, including the World Health Organisation, research institutions and other public health related agencies.

You will lead the design and conduct of analytical research studies, which includes statistical analysis and mathematical modelling. You will be responsible for the strategic development and management of a multi-disciplinary informatics team that works with local and international research groups in the surveillance and risk assessment of dengue and other vector-borne diseases. The outcomes are expected to contribute to our understanding of the epidemiology of vector-borne diseases and the formulation of strategies for public health programmes and policies. Examples of previous and ongoing studies include assessing the impact of the Wolbachia-Aedes technology and developing dengue predictive models to inform public health interventions. You will join a high performance culture and play a pivotal role within the organization. You are expected to seek collaborations and build research partnerships.


  • A doctoral degree in quantitatively-orientated fields such as applied mathematics or biostatistics, or equivalent. Candidates with a relevant Masters degree may be considered.
  • At least 5 years of experience in statistics/mathematical modelling.
  • At least 4 years of experience in a research leadership capacity. Candidates with postdoctoral experience may also apply.
  • Demonstrated publication track record.
  • Competent in the use of statistical software such as R, Python, Stata, etc, and possess programming knowledge
  • High capacity for system thinking and inclination for trans-disciplinary science
  • Good analytical, oral and written communication and interpersonal skills

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