Field Enumerator - LOSHAK Population Health Study

About the role

Aga Khan University Hospital is recruiting a Consultant Field Enumerator for the LOSHAK study, a population health research project covering eight counties: Kakamega, Kirinyaga, Kisumu, Kitui, Mombasa, Nairobi, Nakuru and Wajir. The role supports data collection through household interviews and the deployment of actigraphy.

Key responsibilities

• Take part in enumerator training, household mapping and listing, pilot testing and certification.
• Visit assigned households and respondents according to the sampling plan, build rapport and obtain informed consent.
• Administer the LOSHAK Core and HCAP surveys (demographics, healthcare use, household economics, family caregiving) using a CAPI application.
• Conduct cognitive and neuropsychological assessments such as the Swahili Mental State Examination, 10-word recall and animal naming modules, and identify cases needing proxy informants.
• Perform clinical, physical and anthropometric measurements including blood pressure, hand-grip strength, height, weight and waist and hip circumferences.
• Coordinate the deployment and retrieval of wearable physical activity trackers and report device malfunctions.
• Verify CAPI data, synchronize it daily with the central server, track visits, callbacks and refusals, and resolve data quality flags raised by the DQA teams.
• Report daily progress, attend briefings and debriefings, and document any operational, technical, ethical or security issues.

Required profile

• Diploma in Statistics, Public Health, Community Health, Social Sciences, Demography, Epidemiology, Computer Science or a related field.
• Previous experience conducting household, community-based or population-based surveys, including national surveys led by KNBS.
• Fluency in English, Kiswahili and the local language(s) of the study area.
• Ability to work independently with minimal supervision and as part of a team.

Required skills

• Experience with tablets, smartphones or electronic data collection systems (CAPI) or web-based platforms (CAWI).
• Familiarity with basic clinical instruments such as digital blood pressure machines, anthropometry devices and dynamometers.