Nutrition Surevey Enumerator at the Taimaka Project

The Taimaka Project is a highly cost-effective, Founder’s Pledge recommended nonprofit that delivers reimagined pediatric malnutrition treatment to save the lives of the world’s most vulnerable children. We implement a modified form of community management of acute malnutrition (CMAM) treatment targeting children with severe acute malnutrition (SAM) in Gombe State, Nigeria.

We are recruiting to fill the position below:

Job Title: Nutrition Surevey Enumerator

Location: Gombe
Duration: Temporary, short-term
Reports to: Survey Supervisor

Description

• To evaluate the impact of our CMAM programs in terms of lives saved by our program and the cost per life saved, our field research team is preparing to collect high-quality data to serve as inputs for our cost-effectiveness analyses. 
• The data collection will primarily use two survey methods, SMART and SQUEAC, to collect the data on the prevalence of malnutrition, mortality rates, and coverage of CMAM treatment. This will involve both quantitative and qualitative surveys.
• We are seeking Enumerators to join our research team to work on multiple rounds of data collection. 
• The Enumerators will be responsible for collecting high-quality data on nutritional status and other indicators among children under 5 years of age and their caregivers at field sites in Yamaltu/Deba and Funakaye LGAs of Gombe state. 
• Survey areas will include remote and hard-to-reach locations. The fieldwork for the first round of surveys is expected to begin in Gombe State in mid-May 2025.

Duties and Responsibilities

• Complete the 5-day data collection training in-person in Gombe, organized by the Taimaka Project, to learn how to administer research questionnaires (SMART or SQUEAC surveys) in a standardized way.
• Explain the survey study to household members and maintain high levels of participation during data collection visits, including engaging with community members to increase awareness of the surveys.
• Visit field sites, including in remote and hard-to-reach areas, to collect data on the child’s height/length, MUAC, and weight, and complete questionnaires on household members, child illness, mortality, and infant and young child feeding practices, among other topics.
• Ensure that the anthropometric equipment is working properly and calibrated.
• Take informed consent from the survey participants, following ethical standards.
• Follow schedules and survey protocols, ensuring the collection of complete and accurate data.
• Maintain accurate and confidential records of each household visit, including carefully and completely documenting data using ODK forms. Ensure form submission at the end of data collection day.
• Ensure proactive communication and inform the line manager about any challenges faced during data collection.

Additional Information:

• Duration: Temporary, short-term; 3-5 days of training followed by 5-10 days of data collection, with the opportunity to work on multiple surveys pending satisfactory performance
• Location: Gombe state. Training in Gombe city, rest of the work in Funakaye LGA and/or Deba LGA

Qualifications and Skills

• Minimum educational requirement is Secondary School Certificate (SSCE) or equivalent, with a preference for candidates with post-secondary education in community health or a related field
• Ability and willingness to visit households in remote areas while carrying measurement equipment, including height boards and digital scales is required
• Previous experience working on nutrition surveys or research studies with household or child data collection using ODK or KoboToolbox is strongly preferred:
  • Previous experience in collecting anthropometric measurements (MUAC, height/length, weight) is strongly preferred
  • Previous experience in collecting qualitative data is preferred
• Ability to fill lengthy questionnaires and write detailed, comprehensive notes in Hausa or English is required
  • Fluency in Hausa is required (written and spoken)
  • Proficiency in Fulfulde is preferred (spoken)
  • Proficiency in English is preferred but not required (written and spoken)
• Attention to detail and experience in maintaining high standards of data quality is required
• Excellent communication and interpersonal skills, written and verbal, are required
• Willingness to learn and adapt is required
• Ability to work collaboratively in a multidisciplinary team is required
• Female candidates preferred
• Flexibility to work over the weekends is required

Salary
Daily stipend, pending satisfactory completion of enumerator training.

Application Closing Date
11th May, 2025.

How to Apply
Interested and qualified candidates should send their CV and Phone number to: hiring@taimaka.org using “YOUR NAME - Enumerator” as the subject of the email.

Note

• As Taimaka is working in a constantly changing environment, reasonably specific work duties may be requested that may not fit into the above job description, but which will help promote overall study goals.
• Applications will be reviewed on a rolling basis.