Key Responsibilities: Provide overall scientific leadership for the multi-country evaluation, ensuring alignment with protocol objectives across mortality impact, coverage and quality, implementation fidelity, health system performance, and workforce capacity. Lead the cross-country evaluation workplan, ensuring coherence across analytical domains and consistency of methods and outputs. Oversee the design and iterative refinement of the evaluation framework, integrating implementation science approaches. Establish and enforce standardized data definitions, indicators, measurement plans, SOPs, and harmonized tools across countries. Ensure the quality, standardization, and analytical readiness of all core datasets, including data quality assurance processes and harmonized analytic scripts within a federated data governance model. Lead the design and governance of the federated data architecture, ensuring compliance with national data policies, secure in-country data hosting, anonymisation, and script-based analytic workflows. Supervise the strengthening of routine data systems, ensuring completeness, timeliness, internal consistency, and alignment with national HMIS and DHIS2 platforms. Line manage evaluation workstream leads (implementation science, data science/biostatistics, data management) and provide mentorship to early-career staff. Guide analytical workstreams covering mortality modelling, process and implementation evaluation, cost-effectiveness, contextual analysis, and workforce analytics. Coordinate engagement with in-country implementation partners, Ministries of Health, and national stakeholders, including permissions, data-sharing agreements, and dissemination; contribute to Scientific and Data Oversight Committee processes. Lead adaptive learning cycles and internal learning forums, ensuring systematic feedback between evidence generation and programme implementation. Oversee the production of cross-country and country-specific outputs, including quarterly technical updates, annual evaluation and synthesis reports, policy briefs, manuscripts, and dissemination packages. Vacancy Requirements: Clinician with a PhD in Epidemiology/Public Health/Health Systems (or equivalent)    Mandatory 5 years post PHD experience in relevant field and research    Mandatory Very good experience in leading large, multi-country evaluations    Mandatory Demonstrated expertise in implementation science and advanced quantitative methods.    Mandatory Strong track record working with routine facility data systems, HMIS/DHIS2, and federated data governance.    Mandatory Strategic leadership    Mandatory Stakeholder engagement    Mandatory Grant/report writing    Mandatory Advanced statistics (ITS, multilevel), data governance, mentoring, and cross functional coordination.    Mandatory go to method of application »