This position is for Research on Successful Ageing (ROSA); Data cleaning, processing and publication of updated Singapore Life Panel (SLP) dataset conducted in STATA; Update of SLP data documentation (e.g. data dictionaries, briefings for derived variables); Assist with literature reviews, and staying up-to-date with academic literature on the treatment of longitudinal data; Improve quality of SLP dataset by way of construction of attrition weights, constructing new derived variables, and devising new publication of academic papers (either individually on statistics/data science, or co -authoring alongsideresearchers in economics/sociology/psychology); Contribution to research collaborations with government ministries and agencies
Degree and/or Master’s in Statistics/Mathematics/Data Science is preferred; Strong skills in data processing, analytics and modelling using Stata is essential; Experience with longitudinal datasets is desirable; Detailed knowledge of Excel; Additional proficiency in SPSS or R will be highly valued; Good written and verbal communication skills are required; Familiarity with published research in quantitative methods, particularly longitudinal panel data; Publications based on these methods would be advantageous
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