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