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

• 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.

• Implementation science
• Advanced quantitative methods
• Routine facility data systems
• HMIS/DHIS2
• Federated data governance
• Strategic leadership
• Stakeholder engagement
• Grant/report writing
• Advanced statistics (ITS, multilevel)
• Mentoring
• Cross functional coordination

• Clinician with a PhD in Epidemiology/Public Health/Health Systems (or equivalent)
• 5 years post PHD experience in relevant field and research
• Very good experience in leading large, multi-country evaluations
• Demonstrated expertise in implementation science and advanced quantitative methods.
• Strong track record working with routine facility data systems, HMIS/DHIS2, and federated data governance.
• Strategic leadership
• Stakeholder engagement
• Grant/report writing
• Advanced statistics (ITS, multilevel), data governance, mentoring, and cross functional coordination.