Research Assistant/ Associate (Population Health Surveys)

NATIONAL UNIVERSITY OF SINGAPORE

Singapore, Singapore
Fully onsite
Proficiency in sas programming with ods
Proficiency in r programming language
Experience with quantitative survey design methods
The National University of Singapore is seeking a full-time Research Assistant/Associate to support a large-scale population health survey that focuses on health status and lifestyle factors. The ideal candidate will have a background in statistics, experience with quantitative research methods, and proficiency in statistical programming, particularly in SAS and R

Job Summary

  • This position supports a large-scale recurring population health survey investigating local health status and non-communicable disease risk factors.
  • Candidates will conduct statistical analysis on large volumes of data to assess population health trends and the impact of public health policies.
  • The role offers valuable exposure to lead researchers and stakeholders involved in national policymaking and policy implementation.

Matching Summary

Match Score: 85

The National University of Singapore is seeking a full-time Research Assistant/Associate to support a large-scale population health survey that focuses on health status and lifestyle factors. The ideal candidate will have a background in statistics, experience with quantitative research methods, and proficiency in statistical programming, particularly in SAS and R.

Skills & Requirements

Must-have

  • Proficiency in SAS programming with ODS
  • Proficiency in R programming language
  • Experience with quantitative survey design methods
  • Ability to apply sampling frames and weighting
  • Strong analytical and technical writing skills

Nice-to-have

  • Work experience in large-scale surveys
  • Ability to engage with policymakers
  • Collaboration with Principal Investigators
  • Experience translating findings into policy briefs

Key Requirements

  • Degree or Masters in Statistics or related field
  • Proficiency in SAS and R programming
  • Knowledge of quantitative research methods

Work Rights

Not specified

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