Requirements:

An Honours Degree in Economics, Public Health, Biology, Epidemiology, Statistics, Psychology, Computer Science, or in any other quantitative Social Science field
Strong statistical, analytic, quantitative and qualitative data interpretation skills
Moderate to strong exposure to econometric, impact evaluation or other causal inference techniques
The ability to manipulate large, complex data sets into manageable, understandable reports
Experience and confidence in conducting literature reviews spanning a range of research fields
Strong skills in Stata (preferred), R, SPSS, or Python
Interest in data visualisation

Responsibilities:

Conducting literature reviews detailing barriers to health for disadvantaged citizens in multiple African countries within specific health domains and their intersections
Identifying evidence-based interventions addressing barriers from public health, behavioural science, development economics, and other research fields
Identifying innovative and evidence-based instruments for measuring behavioural, clinical, and psychological outcomes including the identification and operationalization of health impact indicators within the organization's MERL framework
Design surveys and other digital data-gathering methods to assist programme evaluation methods
Design and implement qualitative data collection activities to support programme evaluation and learning, and when necessary, manage qualitative data collection firms for larger scale efforts
Using quantitative statistical programmes and methods to clean and interpret data generated within the organization’s mobile platform or other interventions