Aga Khan University Hospitals in Karachi, Pakistan and Nairobi, Kenya are private, not-for-profit institutions providing high quality health care. The Main Hospitals serve as the principal sites for clinical training for the University's Medical Colleges and Schools of Nursing and Midwifery in Pakistan and East Africa. Our Vision of Aga Khan University Hospital, Nairobi is to be the premier, tertiary, teaching and referral health care facility in sub-Saharan Africa. ​For over fifty years, Aga Khan University Hospital, Nairobi (AKUH) has been taking care of families in East Africa. As a private, not-for-profit hospital, we strive to provide access to quality healthcare to all who need it. At AKUH, patients are our first priority. Our team of medical professionals, faculty and staff are here to provide you and your loved ones with the highest standards of healthcare. We are committed to working together to ensure that you and your family receive outstanding medical services, first-rate facilities and compassionate care. The Aga Khan University Hospital, Nairobi has set the standard for comprehensive healthcare and modern medical education in East Africa. Our dedicated staff, advanced facilities and state-of-the-art technologies have earned the hospital great reputation as a leading medical institution and teaching hospital in the region, and beyond. Patients benefit from our unique team-based approach to car​e, which enables you to benefit from the diverse expertise of our entire team of medical professionals. As the teaching hospital for Aga Khan University’s Medical College and School of Nursing and Midwifery, we practice an evidence-based approach to medicine, driven by the cutting-edge research conducted by our experienced faculty members. Our approach to care is guided by our core principles of Quality, Access, Impact and Relevance.​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.