Kenya Medical Research - KEMRI
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earch and Development
Key Responsibilities:
Develop and apply probabilistic record linkage methodologies using data from multiple HDSS sites to assess completeness of birth and death registration. Identify and quantify systematic reporting differences in age-at-death and birth dates in survey and routine data. Conduct analysis of primary household survey data on birth and death registration to understand factors influencing registration practices. Generate reproducible scripts and documentation using Python and spatial/statistical packages. Support geospatially disaggregated analyses to assess implementation strength, equity of access, and quality of care. Contribute to evaluating the impact of maternal and newborn health initiatives. Assist in data harmonization and integration across sites using relational databases and web mapping tools Integrate geospatial analytics and open web mapping tools to support interactive dashboards and decision-support systems. Apply data mining and statistical inference to assess determinants of inequity and health system performance. Analysing DHIS2 data to generate actionable insights on health interventions and monitor trends in morbidity and mortality. Contribute to peer-reviewed manuscripts, technical reports, and policy briefs. Participate in capacity-building activities, seminars, and collaborative research meetings. Stay current with emerging methods in health systems scie