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.
Qualifications
- 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
- 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
How to
Apply
