The Kenya Medical Research Institute (KEMRI) is a State Corporation established through the Science and Technology (Amendment) Act of 1979, responsible for carrying out health research in Kenya. The Data Manager position is crucial for developing, implementing, and ensuring adherence to robust data management practices for study protocols. The primary goal is to maintain the accuracy, completeness, and integrity of all study data, ensuring compliance with relevant regulations and institutional policies.
Duties and Responsibilities
The successful candidate will be responsible for a range of data management activities, including:
- Develop, implement, and ensure adherence to study protocols, Standard Operating Procedures (SOPs), and data management plans.
- Oversee data collection, entry, cleaning, validation, and secure storage to maintain data accuracy, completeness, and integrity.
- Conduct routine data quality checks, audits, and generate Quality Control (QC) reports to ensure timely correction of discrepancies.
- Develop, review, and maintain data collection tools and databases (e.g., ODK, Excel, Epi Info, REDCap, web and mobile solutions).
- Build capacity of Data Officers and train study teams on data systems, tools, and tracking logs to ensure consistent and high-quality data capture.
- Support the setup and maintenance of data-related hardware, network systems, and real-time transmission solutions.
- Ensure compliance with the Data Protection Act and Institution data governance policies, including confidentiality, backups, security, and restricted access.
- Generate dashboards, statistical analyses, and visual reports (Power BI, Tableau, Excel) to support monitoring, evaluation, and evidence-based decision-making.
- Prepare and submit timely monitoring reports (daily to quarterly, DSMB, sponsor) in line with reporting schedules.
- Attend to ad hoc data requests and perform additional assigned duties to support project data needs.
Required Qualifications and Experience
Candidates must possess a strong educational background and specific technical expertise:
Education:
- Bachelor’s Degree in Computer Science, Data Science, Epidemiology, Biostatistics, Applied Statistics, or any other relevant field from a recognized institution.
- Master’s Degree in the relevant field is required.
Technical Skills:
- Epidemiological and statistical analysis skills using tools such as SAS, STATA, R, Python, or similar software packages.
- Conversant with data management databases, including MS Access, Excel SQL, or Visual Basics.
- Proficiency in REDCap programming and customization is essential.
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