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 position of:
Job Title: Assistant Director, Monitoring, Evaluation, Research & Learning (MERL) - Gates Project
Job Reference Code: ADM&EMERLGates-ext
Location: Abuja
Job Profile
- This position reports to the Project Director and will provide oversight on all MERL activities for the Gates MNHC project in Gombe, Northeast Nigeria.
- S/He will be responsible for the design and development of programme specific Performance Monitoring Plans (PMP) as well as monitoring and evaluation plans at SFH and partner levels.
- S/He will adopt existing SFH monitoring tools; propose new ways of measuring change through the use of both quantitative and qualitative data collection tools. The successful candidate will be responsible for establishing and managing database to track progress towards meeting project goals while taking the lead in aligning, collecting and reporting on relevant programme indicators to the organisation-wide M&E system.
- S/He will coordinate internal and external reviews and lead the analysis of findings with strong emphasis on learning and review regular programme reports of MNHC project for submission to donor.
- S/He will finalise the project monitoring and evaluation plan with the donor, manage implementation of the plan, design studies, analyze data, prepare reports, commission studies as needed, provide timely evidence for project decision making, lead data interpretation sessions with programmers and assure use of the most recent and innovative research methodologies.
Qualifications/Experience
- Must possess a first degree in Statistics/Economics/Medical/Behavioural/Social Sciences or its equivalent in a relevant field.
- Must possess a minimum of a Masters degree in Demography, Public Health, Epidemiology or Biostatistics/Statistics.
- Must have minimum of between 10-12 years progressive experience in MCH/RH related surveillance and/or research with wide ranging knowledge of research methodologies.
- Must have in-depth experience in preparing research for publications and presenting research findings to public health and policy specialists, media and the general public. The successful candidate must show evidence of published peer reviewed articles in scientific journals.
- 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.
- Must have proven experience working in a fast paced non-governmental environment, and also with a variety of donors.
- Must have excellent interpersonal, communication (oral and written) and presentation skills.
Application Closing Date
1st October, 2015.
How to Apply
Interested and qualified candidates should:
Click here to apply online
Note:
- Applicants will be required to register on the 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 that attempts to apply for a position not qualified for will result in automatic disqualification by the system.
- Only shortlisted candidates will be contacted.