- Master's degree in Statistics/Bio-Statistics & Demography/Population Studies/Demography/Public Health.
- Working knowledge of statistical & GIS software such as R, Python, STATA, SPSS, QGIS, or ArcGIS.
- Experience with large-scale survey data (e.g., DHS, NSSO, LASI, World Bank).
- Knowledge of tools and techniques for mortality, life expectancy, and cause-of-death studies.
- PhD Degree in a relevant field.
- Knowledge of Machine Learning modules and advanced statistical methods.
- Ability in coding and programming in R/Python.
- Fluency in English speaking and writing.
Note: Essential qualifications may be relaxed for exceptionally suitable candidates.