The Management Sciences for Health (MSH), a global health nonprofit organization, uses proven approaches developed over 40 years to help leaders, health managers, and communities in developing nations build stronger health systems for greater health impact. We work to save lives by closing the gap between knowledge and action in public health.
We are recruiting to fill the position below:
Job Title: SMC End of Round Data Collectors Supervisor
Ref No: R1416
Location: Katsina
Job Type: Part time
Job Description
- The EoR evaluation aims to assess SMC coverage and adherence of CDDs to treatment protocol immediately after the end of Cycle 4 mass drug administration.
- The findings will be analysed and any ward scoring less than 80% will be targeted for corrective measures in their area of poor performance for improvement in subsequent rounds.
- The Consultant will oversee the data collectors and be responsible for resolving any technical issues on the field, conduct daily validation of the records collected to ensure accuracy, completeness and validity of the data during the End of round programmatic assessment.
- The data collectors LGA Supervisor will be trained on the assessment protocol and electronic data collection tool and would monitor the field work within the approved number of days.
Specific Responsibilities
- The data collectors LGA Supervisor will be responsible for resolving technical issue while in the field administering the questionnaire at the household level according to the data collection protocol.
- S/he will establish the community mobilization, engagement, awareness, and linkage where exercise is mapped.
- Any other task assigned by the supervisor.
Qualifications
- Post NYSC, BSc. or HND from a recognized university, or related analytical courses is required. A master degree is an added advantage.
- At least 3 years experience in conducting public health research, particularly data analysis and preparation of abstracts and proposals.
- Experience with the use of Kobo collect/Survey CTO is required.
- High analytical and decision making skills is desirable.
- Previous experience designing MIS for a health facility or community-based intervention is desirable.
- Excellent report writing, facilitation and communication skills.
- Experience in the use of modern technology in research – use of phone for data collection.
- Experience with implementation of SMC is an added advantage.
- Ability to speak local language (Hausa etc) is an added advantage
- Familiarity with and respect for the tradition and culture of the locality
- Ability to give attention to details.
- Must NOT be currently engaged as an SMC personnel in whatever capacity (National, State, LGA, HFW, CHW, TA or LM)
Application Closing Date
Not Specified.
How to Apply
Interested and qualified candidates should:
Click here to apply online
