Data Manager - Kisumu

Key Responsibilities

• Design, develop, review, and maintain data collection tools, databases, and electronic data capture platforms, including ODK, REDCap, Epi Info, Excel, and other web- and mobile-based systems, including database creation, testing, and maintenance.
• Develop, implement, and ensure adherence to study protocols, Standard Operating Procedures (SOPs), Data Management Plans (DMPs), and other data management and statistical documentation, including contributing to Case Report Form (CRF) design.
• Oversee data collection, entry, cleaning, validation, reconciliation, and secure storage, ensuring data accuracy, completeness, consistency, and integrity, and identifying and resolving data discrepancies in a timely manner.
• Develop comprehensive Statistical Analysis Plans (SAPs) aligned with study objectives, protocols, regulatory requirements, and appropriate statistical methodologies.
• Apply appropriate and advanced statistical methods and programming techniques to analyze complex datasets, including longitudinal, cohort, and multilevel data, demonstrating sound understanding of statistical theory, assumptions, and interpretation to ensure scientifically valid and rigorous findings.
• Implement robust data governance and security practices to safeguard data confidentiality, integrity, and availability, including secure access controls, regular backups, restricted access, and compliance with the Data Protection Act and institutional data governance policies.
• Develop dashboards, statistical analyses, data visualizations, and reports using platforms such as Power BI, Tableau, and Excel to support study monitoring, evaluation, evidence-based decision-making, and dissemination of findings.
• Prepare and submit timely data and statistical reports in accordance with established reporting schedules, including daily, weekly, monthly, quarterly, Data and Safety Monitoring Board (DSMB), sponsor, and regulatory reports, as applicable.
• Contribute to scientific dissemination and research outputs, including preparation of abstracts, manuscripts, presentations, and other study reports, and provide data and statistical support for regulatory and scientific submissions.
• Maintain strict confidentiality of all study and organizational information and undertake other data management, statistical, and related activities as assigned to ensure the provision of high-quality, reliable, and analysis-ready data.

Requirements

• Bachelor of Science in Statistics, Biostatistics, Epidemiology or related field (Mandatory)
• Proficiency in at least one software package (e.g., SAS/STATA/R/SPSS) for analysis and data cleaning (Added Advantage)
• Good communications skills (Mandatory)
• Experience managing and analysis of large amount of data, especially repeat cross-sectional surveys or longitudinal data (Mandatory)
• Ability to prioritize, work under deadlines, work with minimal supervision and multitask (Mandatory)
• Knowledge of concepts of public health, epidemiology and surveillance (Mandatory)

Key Responsibilities

• Design, develop, review, and maintain data collection tools, databases, and electronic data capture platforms, including ODK, REDCap, Epi Info, Excel, and other web- and mobile-based systems, including database creation, testing, and maintenance.
• Develop, implement, and ensure adherence to study protocols, Standard Operating Procedures (SOPs), Data Management Plans (DMPs), and other data management and statistical documentation, including contributing to Case Report Form (CRF) design.
• Oversee data collection, entry, cleaning, validation, reconciliation, and secure storage, ensuring data accuracy, completeness, consistency, and integrity, and identifying and resolving data discrepancies in a timely manner.
• Develop comprehensive Statistical Analysis Plans (SAPs) aligned with study objectives, protocols, regulatory requirements, and appropriate statistical methodologies.
• Apply appropriate and advanced statistical methods and programming techniques to analyze complex datasets, including longitudinal, cohort, and multilevel data, demonstrating sound understanding of statistical theory, assumptions, and interpretation to ensure scientifically valid and rigorous findings.
• Implement robust data governance and security practices to safeguard data confidentiality, integrity, and availability, including secure access controls, regular backups, restricted access, and compliance with the Data Protection Act and institutional data governance policies.
• Develop dashboards, statistical analyses, data visualizations, and reports using platforms such as Power BI, Tableau, and Excel to support study monitoring, evaluation, evidence-based decision-making, and dissemination of findings.
• Prepare and submit timely data and statistical reports in accordance with established reporting schedules, including daily, weekly, monthly, quarterly, Data and Safety Monitoring Board (DSMB), sponsor, and regulatory reports, as applicable.
• Contribute to scientific dissemination and research outputs, including preparation of abstracts, manuscripts, presentations, and other study reports, and provide data and statistical support for regulatory and scientific submissions.
• Maintain strict confidentiality of all study and organizational information and undertake other data management, statistical, and related activities as assigned to ensure the provision of high-quality, reliable, and analysis-ready data.

Requirements

• Bachelor of Science in Statistics, Biostatistics, Epidemiology or related field (Mandatory)
• Proficiency in at least one software package (e.g., SAS/STATA/R/SPSS) for analysis and data cleaning (Added Advantage)
• Good communications skills (Mandatory)
• Experience managing and analysis of large amount of data, especially repeat cross-sectional surveys or longitudinal data (Mandatory)
• Ability to prioritize, work under deadlines, work with minimal supervision and multitask (Mandatory)
• Knowledge of concepts of public health, epidemiology and surveillance (Mandatory)