Research Officer – Health Systems Evaluation and Data Analytics Nairobi at Kenya Medical Research - KEMRI

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 science, GIS, and epidemiology.

Vacancy Requirements:

• Recognised Postgraduate qualification in MSc in Spatial Data Science, Public Health, Epidemiology, Statistics, or a related field with strong quantitative components.    Mandatory
• At least three(3) years working experience in related field, health research.    Mandatory
• Experience working with CRVS, HDSS and or DHS, or similar health and demographic datasets.    Mandatory
• Proficiency in statistical software (e.g., R, Stata) and GIS tools (e.g., ArcGIS, QGIS).    Mandatory
• Strong Python programming skills and experience with web mapping or spatial data pipelines.    Mandatory
• Excellent written and verbal communication skills, including scientific writing.    Mandatory
• Demonstrated expertise in analytical thinking and statistical methods, with the ability to interpret complex data and generate actionable insights.    Added Advantage
• High initiative and willingness to take on new analytical and scientific challenges.    Mandatory
• Strong organizational skills and ability to work under tight deadlines.    Mandatory
• Ability to work independently and collaboratively across teams.    Mandatory
• Experience producing high-quality visualizations and spatial outputs for policy and scientific use.    Mandatory