Data Manager

Kenya Medical Research Institute (KEMRI) is a State Corporation established through the Science and Technology (Amendment) Act of 1979, which has since been amended to Science, Technology and Innovation Act 2013. The 1979 Act established KEMRI as a National body responsible for carrying out health research in Kenya.

The Data Manager at KEMRI is responsible for the comprehensive management of research data. This includes designing, developing, reviewing, and maintaining various data collection tools, databases, and electronic data capture platforms such as ODK, REDCap, Epi Info, and Excel. The role also involves creating, testing, and maintaining databases. The manager will develop and implement study protocols, Standard Operating Procedures (SOPs), and Data Management Plans (DMPs), including contributing to CRF design. Key duties include overseeing data collection, entry, cleaning, validation, reconciliation, and secure storage to ensure data accuracy, completeness, consistency, and integrity, while promptly resolving any discrepancies. The Data Manager will also develop Statistical Analysis Plans (SAPs) aligned with study objectives and apply advanced statistical methods and programming techniques for analyzing complex datasets, including longitudinal, cohort, and multilevel data, ensuring scientifically valid findings. Implementing robust data governance and security practices, such as secure access controls and regular backups, is crucial to safeguard data confidentiality and comply with the Data Protection Act. The role also involves developing dashboards, statistical analyses, and reports using tools like Power BI and Tableau to support study monitoring and decision-making, and preparing timely data and statistical reports for various stakeholders. Additionally, the Data Manager contributes to scientific dissemination through abstracts, manuscripts, and presentations, and provides data support for regulatory submissions, while maintaining strict confidentiality of all study information.

1. Design, develop, review, and maintain data collection tools, databases, and electronic data capture platforms (e.g., ODK, REDCap, Epi Info, Excel), including database creation, testing, and maintenance.
2. 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.
3. Oversee data collection, entry, cleaning, validation, reconciliation, and secure storage, ensuring data accuracy, completeness, consistency, and integrity, and identifying and resolving data discrepancies promptly.
4. Develop comprehensive Statistical Analysis Plans (SAPs) aligned with study objectives, protocols, regulatory requirements, and appropriate statistical methodologies.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.

1. Hold a Bachelor of Science degree in Statistics, Biostatistics, Epidemiology, or a related field.
2. Proficiency in at least one statistical software package (e.g., SAS, STATA, R, SPSS) for analysis and data cleaning is an added advantage.
3. Possess good communication skills.
4. Have experience managing and analyzing large amounts of data, particularly from repeat cross-sectional surveys or longitudinal studies.
5. Demonstrate the ability to prioritize tasks, work under deadlines, operate with minimal supervision, and multitask effectively.
6. Possess knowledge of public health, epidemiology, and surveillance concepts.