Job Description
Our client is a Digital and Mobile Health, as well as Social Impact Organization.
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
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
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