Field Enumerator, KIPMAT
2025-12-11T09:53:45+00:00
Aga Khan Hospital
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CONTRACTOR
Kenya
Nairobi
00100
Kenya
Healthcare
Healthcare, Science & Engineering, Social Services & Nonprofit, Business Operations
2025-12-14T17:00:00+00:00
Kenya
8
Background information about the job or company (e.g., role context, company overview)
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.
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 or duties
- 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.
Qualifications or requirements (e.g., education, skills)
- A minimum of diploma in Public Health, Nursing, Clinical Medicine, psychology or related course; a background in health sciences is desirable.
- Fluency in English and Kiswahili; knowledge of local languages (Kigiriama or Mijikenda) is an added advantage.
Experience needed
- 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.
Any other provided details (e.g., benefits, work environment, team info, or additional notes)
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.
- 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.
- Fluency in English and Kiswahili
- Knowledge of local languages (Kigiriama or Mijikenda) is an added advantage
- Familiarity with neurodevelopmental and mental health assessments is desirable
- Ability to work under minimal supervision
- Highly organized and attentive to detail
- Excellent interpersonal skills
- Good team player
- Keen desire to learn and share knowledge
- A minimum of diploma in Public Health, Nursing, Clinical Medicine, psychology or related course
- A background in health sciences is desirable
JOB-693a94a9c3921
Vacancy title:
Field Enumerator, KIPMAT
[Type: CONTRACTOR, Industry: Healthcare, Category: Healthcare, Science & Engineering, Social Services & Nonprofit, Business Operations]
Jobs at:
Aga Khan Hospital
Deadline of this Job:
Sunday, December 14 2025
Duty Station:
Kenya | Nairobi | Kenya
Summary
Date Posted: Thursday, December 11 2025, Base Salary: Not Disclosed
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JOB DETAILS:
Background information about the job or company (e.g., role context, company overview)
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.
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 or duties
- 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.
Qualifications or requirements (e.g., education, skills)
- A minimum of diploma in Public Health, Nursing, Clinical Medicine, psychology or related course; a background in health sciences is desirable.
- Fluency in English and Kiswahili; knowledge of local languages (Kigiriama or Mijikenda) is an added advantage.
Experience needed
- 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.
Any other provided details (e.g., benefits, work environment, team info, or additional notes)
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.
Work Hours: 8
Experience in Months: 12
Level of Education: associate degree
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