Monitoring Evaluation Research Learning (Merl) Associate
Posted on 2025-01-28
Job Summary
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
Monitoring Evaluation Research Learning (Merl) Associate position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2025-01-28 in the Scientific Qa category
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