Kenya Medical Research Institute (KEMRI) is a State Corporation established through the Science and Technology (Amendment) Act of 1979, which has since been amended to Science, Technology and Innovation Act 2013. The 1979 Act established KEMRI as a National body responsible for carrying out health research in Kenya.

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Assistant Research Officer – Epidemiologist/Data Analyst Nairobi

Job Type

Contract

Qualification

BA/BSc/HND

Experience

1 year

Location

Nairobi

Job Field

Data, Business Analysis and AI , ICT / Computer , Research and Development

Key Responsibilities:

• Prepare longitudinal, facility-period epidemiological datasets for mortality, severe morbidity, coverage, readiness, and workforce indicators, applying protocol-defined inclusion criteria and variable transformations.
• Compute routine epidemiological indicators, including mortality rates/ratios, effective coverage components, case-mix descriptors, referral patterns, admission severity profiles, and event frequencies.
• Produce descriptive analyses and outputs for trend assessment, quarterly snapshots, and facility-level dashboards that feed into interrupted time series and counterfactual modelling workflows.
• Contribute summary statistics to quarterly technical updates and annual reports.
• Support the implementation science workstream by generating routine process indicators, QI-related summaries, and visualisations for facility feedback.
• Summarise QI findings, operational disruptions, and facility readiness constraints into structured contextual notes to support process evaluation and interpretation.
• Support the assembly of facility-level implementation indices and descriptive analyses of workforce competency trends.
• Maintain reproducible analysis notebooks and documentation, and support improvements to data structures, versioning, and quality control workflows.

Vacancy Requirements:

• Bachelor’s degree in Epidemiology/Biostatistics/Public Health. Mandatory
• At least one year experience in research related environment with applied analysis with routine data. Mandatory
• Statistical software (R/Stata), data visualization, meticulous QC, good writing. Mandatory

• Prepare longitudinal, facility-period epidemiological datasets for mortality, severe morbidity, coverage, readiness, and workforce indicators, applying protocol-defined inclusion criteria and variable transformations.
• Compute routine epidemiological indicators, including mortality rates/ratios, effective coverage components, case-mix descriptors, referral patterns, admission severity profiles, and event frequencies.
• Produce descriptive analyses and outputs for trend assessment, quarterly snapshots, and facility-level dashboards that feed into interrupted time series and counterfactual modelling workflows.
• Contribute summary statistics to quarterly technical updates and annual reports.
• Support the implementation science workstream by generating routine process indicators, QI-related summaries, and visualisations for facility feedback.
• Summarise QI findings, operational disruptions, and facility readiness constraints into structured contextual notes to support process evaluation and interpretation.
• Support the assembly of facility-level implementation indices and descriptive analyses of workforce competency trends.
• Maintain reproducible analysis notebooks and documentation, and support improvements to data structures, versioning, and quality control workflows.

• Statistical software (R/Stata)
• Data visualization
• Meticulous QC
• Good writing

• Bachelor’s degree in Epidemiology/Biostatistics/Public Health
• At least one year experience in research related environment with applied analysis with routine data