Field Data Supervisor, LOSHAK, Population Health
2026-04-29T20:44:19+00:00
Aga Khan University Hospital
https://cdn.greatkenyanjobs.com/jsjobsdata/data/employer/comp_7976/logo/aga.png
https://hospitals.aku.edu/
FULL_TIME
Nairobi
Nairobi
00100
Kenya
Healthcare
Computer & IT, Healthcare, Business Operations, Science & Engineering
2026-05-15T17:00:00+00:00
8
Responsibilities or duties
The LOSHAK Field Data Supervisor will support electronic data collection and device-based measurements. The position is responsible for managing CAPI systems, field tablets, paradata monitoring, bio sample data workflows, and device-based data collection including UPAS V2+ air quality monitoring devices and Actigraph devices. The role ensures that field data systems and monitoring devices are properly deployed, maintained, and integrated with survey workflows while supporting real-time monitoring of data completeness, quality, in compliance to the study protocol and Kenya Data Protection Act, 2019.
Qualifications or requirements (e.g., education, skills)
Bachelor’s degree in statistics, data science, public health computer science, information systems, or a related field.
Experience needed
- At least 3 years of experience supporting electronic data collection systems for field research.
- Experience in training field staff on data collection tools and protocols.
- Experience with CAPI platforms such as ODK, SurveyCTO, REDCap or CSPro.
- Experience managing laptops, tablets and digital field equipment.
- Familiarity with environmental monitoring and wearable devices is an advantage.
- Experience working in LMICs context and research and academia fields.
- Knowledge and experience in data management and quality control procedures in large-scale health or social science studies.
- Familiarity with ethical considerations and informed consent processes in research.
- Experience with data security and confidentiality protocols.
Any other provided details (e.g., benefits, work environment, team info, or additional notes)
- Strong problem-solving skills, analytical and attention to detail
- Ability to provide technical support and training to field teams
- Strong communication and teamwork skills.
- Proactive in identifying and addressing potential data quality issues.
- Adaptability and flexibility to respond to unforeseen challenges during fieldwork.
- Cultural sensitivity and ability to interact effectively with diverse community members.
- In collaboration with the Data Manager, configure and maintain electronic data collection platforms (Survey CTO/ODK/REDCap / Blaise); deploy instruments to devices (tablets and /or laptops); and manage questionnaire version control.
- Prepare, distribute and maintain devices (laptops and or tablets) and accessories; troubleshoot hardware/software issues; maintain equipment inventory and asset tracking.
- Support deployment and monitoring of UPAS V2+ air quality monitoring devices and Actigraph devices; ensure proper installation, calibration and retrieval according to protocol.
- Monitor daily synchronization of survey and device data; ensure secure transfer to central servers; resolve upload errors.
- Monitor timestamps, GPS coordinates, interview duration and submission patterns; generate data quality reports and flag protocol deviations that shall be resolved by the relevant data and technology infrastructure technical working group
- Support the collection process of dried blood spots (DBS) and physiological measures (anthropometry, blood pressure, pulse rate, grip strength) by ensuring proper device functionality and data recording, unique bar code identification and labelling are captured
- Assist in ensuring complete and proper administration of informed consent for all stages of data collection.
- Assist the Data Manager in implementing pre-programmed filters and validation rules in electronic forms; contribute to real-time data checking and error reporting.
- Provide technical assistance to enumerators on tablets, CAPI tools and monitoring devices; troubleshoot issues during fieldwork.
- Support training of enumerators and supervisors on electronic data collection systems, device deployment and handling and data quality procedures.
- Maintain documentation of device deployment, system configuration and data quality checks; report technical issues to supervisors.
- CAPI system management
- Tablet and field equipment management
- Device-based data collection support
- Data synchronization and management
- Paradata monitoring and field data quality
- Bio-marker sampling support
- Informed consent process support
- Data cleaning and validation support
- Technical support to field teams
- Training and capacity building
- Documentation and reporting
- Problem-solving skills
- Analytical skills
- Attention to detail
- Communication skills
- Teamwork skills
- Adaptability
- Flexibility
- Cultural sensitivity
- Bachelor’s degree in statistics, data science, public health computer science, information systems, or a related field.
- At least 3 years of experience supporting electronic data collection systems for field research.
- Experience in training field staff on data collection tools and protocols.
- Experience with CAPI platforms such as ODK, SurveyCTO, REDCap or CSPro.
- Experience managing laptops, tablets and digital field equipment.
- Familiarity with environmental monitoring and wearable devices is an advantage.
- Experience working in LMICs context and research and academia fields.
- Knowledge and experience in data management and quality control procedures in large-scale health or social science studies.
- Familiarity with ethical considerations and informed consent processes in research.
- Experience with data security and confidentiality protocols.
JOB-69f26da39530e
Vacancy title:
Field Data Supervisor, LOSHAK, Population Health
[Type: FULL_TIME, Industry: Healthcare, Category: Computer & IT, Healthcare, Business Operations, Science & Engineering]
Jobs at:
Aga Khan University Hospital
Deadline of this Job:
Friday, May 15 2026
Duty Station:
Nairobi | Nairobi
Summary
Date Posted: Wednesday, April 29 2026, Base Salary: Not Disclosed
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JOB DETAILS:
Responsibilities or duties
The LOSHAK Field Data Supervisor will support electronic data collection and device-based measurements. The position is responsible for managing CAPI systems, field tablets, paradata monitoring, bio sample data workflows, and device-based data collection including UPAS V2+ air quality monitoring devices and Actigraph devices. The role ensures that field data systems and monitoring devices are properly deployed, maintained, and integrated with survey workflows while supporting real-time monitoring of data completeness, quality, in compliance to the study protocol and Kenya Data Protection Act, 2019.
Qualifications or requirements (e.g., education, skills)
Bachelor’s degree in statistics, data science, public health computer science, information systems, or a related field.
Experience needed
- At least 3 years of experience supporting electronic data collection systems for field research.
- Experience in training field staff on data collection tools and protocols.
- Experience with CAPI platforms such as ODK, SurveyCTO, REDCap or CSPro.
- Experience managing laptops, tablets and digital field equipment.
- Familiarity with environmental monitoring and wearable devices is an advantage.
- Experience working in LMICs context and research and academia fields.
- Knowledge and experience in data management and quality control procedures in large-scale health or social science studies.
- Familiarity with ethical considerations and informed consent processes in research.
- Experience with data security and confidentiality protocols.
Any other provided details (e.g., benefits, work environment, team info, or additional notes)
- Strong problem-solving skills, analytical and attention to detail
- Ability to provide technical support and training to field teams
- Strong communication and teamwork skills.
- Proactive in identifying and addressing potential data quality issues.
- Adaptability and flexibility to respond to unforeseen challenges during fieldwork.
- Cultural sensitivity and ability to interact effectively with diverse community members.
Work Hours: 8
Experience in Months: 36
Level of Education: bachelor degree
Job application procedure
Application Link:Click Here to Apply Now
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