Epidemiologist, Research Associate, Malaria Analytics & Surveillance Team

Conduct epidemiological data analysis for malaria and NTD programs.

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CHAI - Clinton Health Access Initiative

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Conduct epidemiological data analysis for malaria and NTD programs.

You have:

Master's degree in Public Health, Epidemiology or related field.
2+ years of working experience, including in the analysis of epidemiological data and supporting public health decision making.
Knowledge of malaria, NTDs, and/or other major global infectious disease problems.
Strong project management skills, including the ability to plan, execute, and monitor multiple projects.
High levels of proficiency in at least one statistical analysis program (e.g., R, Stata, Python, SAS).
Experience using mapping and/or geospatial analysis software (e.g., ArcGIS, qGIS, R).
Fluent in English.
Willingness to travel (50% of time).
Ability to work independently in remote and unstructured settings.
Exceptional written and oral communication skills.
Ability to collaborate and operate as part of a multi-cultural team.

Can you describe a time when you had to analyze epidemiological data to inform a public health decision?	The interviewer is assessing your practical experience in data analysis and its application in decision making.	Provide a clear example detailing the context, your role, and the outcome of your analysis.
How do you ensure the accuracy and reliability of the epidemiological data you work with?	This question gauges your approach to data quality and integrity.	Pro members can see the explanation.
Describe your experience working with multi-disciplinary teams on public health projects.	Pro members can see the explanation.	Pro members can see the explanation.
What statistical software are you most comfortable using for data analysis and why?	Pro members can see the explanation.	Pro members can see the explanation.
How do you approach developing and implementing data review systems for public health programs?	Pro members can see the explanation.	Pro members can see the explanation.