Programme Monitoring, Evaluation, Research & Learning Officer (PEP Uganda)

About the role

Amref Health Africa is hiring a Programme Monitoring, Evaluation, Research and Learning (MERL) Officer for its PEP Uganda Programme, a regional three-year initiative (2026-2029) funded by the Novo Nordisk Foundation to strengthen education on cardiometabolic diseases in East Africa. The Officer coordinates MERL activities, ensures timely collection, validation, analysis and reporting of programme data, and supports the establishment and management of Learning Management Systems (LMS) at Amref and supported training institutions.

Key responsibilities

• Support the setup, operation and maintenance of LMS and coordinate data integration from institutional LMS into Amref's AIMS and donor reporting platforms
• Develop the MERL framework, collect and verify programme data, run data quality assessments and track outputs and outcomes
• Support baseline, midterm and endline evaluations, research protocols and data analysis, and contribute to publications and policy briefs
• Prepare monthly, quarterly and annual performance reports, update results frameworks and facilitate quarterly review meetings
• Strengthen institutional capacity in MERL, data management and reporting, and support donor monitoring missions and audits

Required profile

• Bachelor's degree in a relevant field such as statistics, biostatistics, ICT, public health, epidemiology, economics or monitoring and evaluation
• At least seven years of experience in MERL, including digital information systems, data management and analytics
• Practical experience with LMS and digital learning data management; systems integration in health or education is an added advantage

Required skills

• Kobo Toolbox, ODK or similar data collection tools; SPSS, STATA, R or Power BI; Microsoft Excel, Word and PowerPoint
• Dashboard and data visualization, data quality assurance, and LMS administration (e.g. Moodle, Amref Connect)
• Knowledge of information systems integration, APIs and data synchronization