Advisor - Monitoring, Evaluation, Research & Learning (MERL) at Society for Family Health (SFH)

Society for Family Health (SFH) is one of the leading non-governmental public health organisations in Nigeria, implementing programmes in Reproductive Health/Family Planning, HIV & AIDS prevention and treatment, malaria prevention and treatment, primary health care system strengthening and maternal, newborn and child health care. We work in partnership with the Federal and State Governments of Nigeria, the Global Fund, United States Agency for International Development (USAID), Department for International Development (DFID), Bill & Melinda Gates Foundation, MSD for Mothers and Children Investment Fund Foundation among other international donors.

We are recruiting to fill the position below:

Job Title: Advisor - Monitoring, Evaluation, Research & Learning (MERL)

Job ID: sfh-40643
Location: Abuja
Employment type: Full-time
Category: Research, Monitoring & Evaluation

Job Profile

• To support implementing a robust MERL system for a health
• me, including monitoring programme performance, conducting research, and facilitating learning and knowledge-sharing among stakeholders. 

Job Role

• Develop and implement a comprehensive MERL plan for the health programme, in collaboration with programme staff and stakeholders. 
• Conduct regular monitoring and evaluation of programme activities, including data collection, analysis, and reporting, and ensure timely feedback to programme staff. 
• Design and oversee programme research studies, including surveys, qualitative research, and other data collection forms. 
• Develop and implement a system for managing programme data, including data quality control, data analysis, and reporting. 
• Facilitate regular learning and knowledge-sharing among programme staff and stakeholders, including the Ministry of Health and other partners. 

Qualifications / Experience

• Master's Degree in Public Health, Social Science, Statistics, or a related field 
• At least 5 years of experience in monitoring, evaluation, research, and learning for health programmes. 
• Experience designing and implementing MERL systems, including data collection, analysis, and reporting. 
• Experience in conducting research studies, including surveys and qualitative research.
• Strong analytical and quantitative skills, with experience in statistical analysis software such as SPSS, STATA, or SAS, and software such as DHIS 2. 
• Experience in facilitating learning and knowledge-sharing among stakeholders. 

Compensation & Benefits
The compensation package for this position is very attractive and designed to attract, motivate and retain talented young professionals.

Application Closing Date
5th May, 2023.