Early Post-Doctoral Researcher - Health Systems/Implementation Scientist - Nairobi

Key Responsibilities: Operationalise implementation science frameworks within a multi-country health systems evaluation, ensuring methodological coherence across adoption, implementation, and maintenance domains. Design, specify, and maintain indicator sets and measurement plans for implementation strength, including formal definition, weighting, and validation of facility-level Implementation Strength components across health system domains. Lead the quantitative development and refinement of the implementation index Design and conduct quantitative process evaluations linking implementation strength and fidelity to coverage, intermediate outcomes, and system performance. Oversee the execution, scoring, and analytic integration of Health Facility Readiness Assessments (HFRA), ensuring standardisation across sites and alignment with system-readiness constructs. Coordinate and analyse Quality Improvement (QI) event logs, audits, and commodity and stock tracking data, translating operational disruptions and implementation adaptations into analytically tractable variables. Contribute to the development of reproducible analytic pipelines (script-based workflows), including data cleaning, indicator construction, model estimation, and documentation. Generate high-frequency implementation performance dashboards and quantitative learning products to support adaptive programme management. Lead the synthesis of quantitative findings into learning briefs, technical reports, and peer-reviewed manuscripts focused on implementation effectiveness and health system performance. Engage with implementation partners and national stakeholders to contextualise quantitative findings, support interpretation of heterogeneity, and inform adoption and maintenance analyses. Vacancy Requirements: PhD (or near completion) in Implementation Science/Health Systems/Global Health.    Mandatory Experience applying RE AIM or similar frameworks and managing multi-site process evaluations.    Mandatory Programme measurement, quantitative analysis, QI methods, stakeholder facilitation, excellent writing.    Mandatory