Bachelor’s or Master’s in epidemiology, economics, biostatistics, or a related field with significant focus on quantitative skills (e.g., epidemiology and public/global health) with a strong understanding of inferential statistics).
Minimum 5 years of applied work experience in resource-limited settings and/or a field requiring analytical problem-solving.
Technical Skills:
Strong command of experimental, quasi-experimental study designs and qualitative research methods
Experience in designing and implementing quantitative models and/or impact evaluation and/or qualitative research; fluency in concepts of statistical inference and data analysis
Strong skills in quantitative modeling, data management, and statistical analysis using software like Stata/R
Demonstrated experience with data collection workflows and platforms, such as SurveyCTO, Google sheets or similar tools
Demonstrated experience with or involvement in the implementation of RCTs/Or quasi experimental or similar studies in India
Experience piloting survey instruments, training data collectors, and leading field logistics for large-scale studies
