Assistant Manager, Monitoring & Evaluation, Research & Learning (MERL) - Gates Projects at Society for Family Health (SFH)

Society for Family Health (SFH) is one of the leading public health NGOs in Nigeria, implementing programmes in reproductive health, HIV & AIDS prevention, and maternal and child health. SFH works in partnership with the Federal and State Governments of Nigeria, the British Department for International Development (DFID) and the United States Agency for International Development (USAID), as well as the Global Fund to fight AIDS, Tuberculosis and Malaria among other international donors.

We seek to recruit qualified persons due to new programme initiatives and growth. We offer professionals opportunities for career advancement, a good working environment and competitive remuneration.

We require competent candidates for the vacant position below:

Job Title: Assistant Manager, Monitoring & Evaluation, Research & Learning (MERL) - Gates Project

Job Reference Code: AMGRMERLgates-ext
Location: Gombe

Job Profile

• Reporting to the Assistant Director-Research and Evaluation, the successful candidate will be required to support in Monitoring and Evaluation to implement the Performance Management Plans (PMP) of the MNHC project, which includes planning, participating and implementing studies, surveys and all related data and information collecting activities for the project.
• S/He will implement other monitoring and evaluation training and capacity development activities of the project.
• The successful candidate will coordinate the conduct of field research and M&E related activities at the implementation sites.
• S/He will ensure that the project data are collected, collated and of high quality.

Qualifications/Experience

• Must possess a first degree in Sciences/Medical/Behavioural/Social Sciences or its equivalent in a relevant field.
• Must have minimum of five (5) years post NYSC experience in implementing monitoring and evaluation of health and related programmes.
• Must have considerable expertise in mixed-methods (qualitative and quantitative) M&E and research.
• Must possess ability to analyze and interpret both quantitative and qualitative data to inform programming.
• Must be proficient in the use of SPSS, STATA, Epi Info or CS Pro.
• Knowledge of DHIS database software will be of added advantage.
• Experience with conducting monitoring visits, utilizing checklist and other tools, including ability to develop M&E protocols are as tools as needed.
• Must have excellent interpersonal, communication (oral and written) and presentation skills.

Application Closing Date
26th April, 2016.

Method of Application
Interested and qualified candidates should:
Click here to apply online

Note:

• Applicants will be required to register on the SFH SAP recruitment portal, providing their detailed information. Subsequently, a registration confirmation will be received at the registered email address.
• On receipt of the registration confirmation, return to the SFH website, log-in to the recruitment portal and apply for the vacant position of choice.
• Do note that all applicants will need to carefully follow the instructions provided on the website and should be ready to upload a CV.
• Please note also that attempts to apply for more than one position or for a position not qualified for will result in automatic disqualification.
• Only shortlisted candidates will be contacted.