Role Summary
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.
Key Responsibilities
Capi system management
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.
Tablet and field equipment management
Prepare, distribute and maintain devices (laptops and or tablets) and accessories; troubleshoot hardware/software issues; maintain equipment inventory and asset tracking.
Device-based data collection support
Support deployment and monitoring of UPAS V2+ air quality monitoring devices and Actigraph devices; ensure proper installation, calibration and retrieval according to protocol.
Data synchronization and management
Monitor daily synchronization of survey and device data; ensure secure transfer to central servers; resolve upload errors.
Paradata monitoring and field data quality
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
Bio-marker sampling support
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
Informed consent process support
Assist in ensuring complete and proper administration of informed consent for all stages of data collection.
Data cleaning and validation support
Assist the Data Manager in implementing pre-programmed filters and validation rules in electronic forms; contribute to real-time data checking and error reporting.
Technical support to field teams
Provide technical assistance to enumerators on tablets, CAPI tools and monitoring devices; troubleshoot issues during fieldwork.
Training and capacity building
Support training of enumerators and supervisors on electronic data collection systems, device deployment and handling and data quality procedures.
Documentation and reporting
Maintain documentation of device deployment, system configuration and data quality checks; report technical issues to supervisors.
Required Qualifications
Bachelor's degree in statistics, data science, public health computer science, information systems, or a related field.
Relevant Experience
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.
Personal Characteristics & Behaviours
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.