QUALIFICATIONS
Master’s degree in Public Health, Epidemiology, Biostatistics, Health Informatics, Global Health, or a related field.
At least five (5) years of experience in immunization programs, public health data systems, or data science roles in low-resource settings.
Strong background in statistical modeling, predictive analytics, and data visualization using tools such as Python, R, Power BI, and Tableau.
Proficiency in immunization platforms such as DHIS2, VIMS, AFYA Campaign, and electronic data collection tools (ODK, KoboToolbox).
Deep understanding of Gavi funding streams and TCA mechanisms, with proven experience in supporting donor compliance and reporting.
Experience conducting bottleneck analysis, program reviews, and strategic planning with MOH and local health management teams (R/CHMTs).
QUALIFICATIONS
Master’s degree in Public Health, Epidemiology, Biostatistics, Health Informatics, Global Health, or a related field.
At least five (5) years of experience in immunization programs, public health data systems, or data science roles in low-resource settings.
Strong background in statistical modeling, predictive analytics, and data visualization using tools such as Python, R, Power BI, and Tableau.
Proficiency in immunization platforms such as DHIS2, VIMS, AFYA Campaign, and electronic data collection tools (ODK, KoboToolbox).
Deep understanding of Gavi funding streams and TCA mechanisms, with proven experience in supporting donor compliance and reporting.
Experience conducting bottleneck analysis, program reviews, and strategic planning with MOH and local health management teams (R/CHMTs).