Field Enumerator, KIPMAT, IHD Office

2 days ago


Kenya The Aga Khan University Full time

Field Enumerator, KIPMAT

Department
Institute for Human Development

Entity
Aga Khan University

Location
Kenya

Introduction
Chartered in 1983, Aga Khan University (AKU) is a private, autonomous, and self-governing international university, with 13 teaching sites in 6 countries over three continents. An integral part of the Aga Khan Development Network, AKU provides higher education in multiple health science and social science disciplines, carries out research pertinent primarily to low- and middle-income countries and operates 7 hospitals (soon 8) and over 325 outreach clinics, all at international standards. It has almost 2,500 students and 14,000 staff. The University is both a model of academic excellence and an agent of social change. As a leading international institution dedicated to excellence and change, AKU operates on the core principles of quality, relevance, impact, and access.
IHD's vision is to drive innovation in research in early human development that advances the quality of individual lives and contributes to building successful pluralistic societies. IHD generates new knowledge through basic and applied research, apply the knowledge gained through research to inform programmes, services and practices within community settings, influence policy formulation and implementation in ways that reap the benefits of the systematic research produced at the institute and elsewhere. The institute also delivers educational programmes at multiple levels of study to prepare a wide range of human development specialists and professionals.

Job Summary
The Field Enumerator will contribute to collaborative research that transforms maternal and child health outcomes through innovative data science by supporting participant tracing, informed consent, and data collection for the KIPMAT study while adhering to standard operating procedures and ethical regulations. KIPMAT is a study focused on developing and validating Artificial Intelligence/Machine Learning - based prediction models for poor maternal, neonatal, and early childhood outcomes at the Kenyan Coast

Responsibilities

  • Administer structured questionnaires and study tools to mothers and children during home visits and clinic-based assessments.
     
  • Ensure accurate and complete documentation of responses in Case Report Forms (CRFs) and electronic data capture systems.
     
  • Support the informed consent and assent process by explaining study procedures to participants in local languages (e.g., Kiswahili, Kigiriama and Mijikenda). 
     
  • Ensure participants feel comfortable during interviews and assessments, allowing breaks or withdrawal at any time.
     
  • Assist in locating and scheduling visits with eligible participants. 
     
  • Support logistical planning for field activities, including transportation, meal coordination, and participant reimbursements.
     
  • Ensure data collected meets quality standards and is consistent with study protocols.
     
  • Adhere to Good Clinical Practice (GCP) and research governance guidelines.
     
  • Maintain confidentiality and securely handle participant information.
     
  • Work closely with clinicians, assessors, and other fieldworkers to ensure smooth implementation of study activities.
     
  • Perform any other duties assigned by the Principal Investigator.
     

Requirements

  • A minimum of diploma in Public Health, Nursing, Clinical Medicine, psychology or related course; a background in health sciences is desirable. 

 
Relevant Experience

  • At least 1 year working experience in research
     
  • Flexible – able to work extra hours when needed
     
  • Familiarity with neurodevelopmental and mental health assessments is desirable.
     
  • Fluency in English and Kiswahili; knowledge of local languages (Kigiriama or Mijikenda) is an added advantage.

Personal Characteristics & Behaviours

  • Can work under minimal supervision. 
     
  • Highly organized and attentive to detail.
     
  • Excellent interpersonal skills and a good team player.
     
  • Keen desire to learn and share knowledge.  
     


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