Data Manager

The Data Manager will be responsible for the entire data lifecycle, from designing and developing data collection tools and electronic data capture platforms like ODK, REDCap, and Epi Info, to ensuring data quality through rigorous cleaning, validation, and secure storage. This role also involves developing statistical analysis plans, applying advanced statistical methods to complex datasets, and implementing robust data governance practices to maintain confidentiality and integrity. The manager will also create dashboards and reports for monitoring and dissemination, contribute to scientific publications, and ensure compliance with data protection regulations.

1. Design, develop, review, and maintain data collection tools, databases, and electronic data capture platforms (e.g., ODK, REDCap, Epi Info, Excel), including 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 timely resolution of discrepancies.
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, ensuring 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 data protection laws.
7. Develop dashboards, statistical analyses, data visualizations, and reports using platforms such as Power BI, Tableau, and Excel to support study monitoring, evaluation, decision-making, and dissemination.
8. Prepare and submit timely data and statistical reports according to established schedules (daily, weekly, monthly, quarterly, DSMB, sponsor, regulatory reports).
9. Contribute to scientific dissemination and research outputs, including preparing abstracts, manuscripts, presentations, and providing data and statistical support for regulatory and scientific submissions.
10. Maintain strict confidentiality of all study and organizational information and undertake other assigned data management and statistical activities.

1. 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. Good communication skills.
4. Experience managing and analyzing large amounts of data, particularly from repeat cross-sectional surveys or longitudinal studies.
5. Ability to prioritize tasks, work under deadlines, operate with minimal supervision, and multitask effectively.
6. Knowledge of public health, epidemiology, and surveillance concepts.