Data Manager

About

The Kenya Medical Research Institute, collaborating with Washington University in St. Louis, is recruiting a Data Manager for the NIH/NCI-funded PRIME-KS Study. The role manages electronic study data systems, statistical analysis, reporting, data security and research documentation for a project evaluating Kaposi Sarcoma technology in Kenya. Job grade: KMR 5 Number of posts: 1 Duty station: Kisumu

How to apply

Apply through the KEMRI e-Recruitment Portal on the KEMRI website: https://www.kemri.go.ke/e-recruitment

Responsibilities

• Design, develop, test, and maintain electronic data collection tools, Case Report Forms (CRFs), and databases using ODK, REDCap, Epi Info, Excel, and other relevant platforms.
• Implement study protocols, Standard Operating Procedures (SOPs), and Data Management Plans (DMPs) to ensure standardised and compliant data management processes.
• Coordinate data collection, entry, cleaning, validation, and discrepancy resolution to ensure data accuracy, completeness, consistency, and integrity.
• Develop Statistical Analysis Plans (SAPs) aligned with study objectives, protocols, and applicable regulatory requirements.
• Analyse complex datasets, including longitudinal, cohort, and multilevel data, using appropriate statistical methods and programming techniques, with due consideration of statistical theory, assumptions, and validity.
• Ensure data security, confidentiality, backup, and controlled access in compliance with the Data Protection Act and institutional data governance policies.
• Develop dashboards, statistical summaries, and visual reports using Power BI, Tableau, Excel, and other relevant tools to support study monitoring, evaluation, and evidence-based decision-making.
• Prepare data management and statistical documentation, conduct database quality checks, and ensure data readiness for analysis and regulatory submissions.
• Prepare and submit timely data monitoring and progress reports to the study team, sponsors, and Data and Safety Monitoring Board (DSMB), as applicable.
• Contribute to the preparation of research abstracts, manuscripts, and other scientific outputs while maintaining the confidentiality of study and institutional information.

Qualifications

• Bachelor’s Degree in Statistics or Biostatistics.
• Master’s degree in Statistics, Biostatistics, Epidemiology, or a related field.
• Minimum three years working experience is required.
• Proficiency in at least one software package (e.g., SAS/STATA/R/SPSS) for analysis and data cleaning use of package for a minimum of three years.
• Demonstrable oral & written communications skills /Fluency in English.
• Demonstrated experience in managing and analysing large datasets, particularly from repeated cross-sectional surveys and longitudinal studies.
• Strong organisational and time-management skills, with the ability to prioritise tasks, multitask, meet strict deadlines, and work independently with minimal supervision.
• Good knowledge of public health, epidemiological principles, and disease surveillance methods.
• Strong analytical, problem-solving, and data interpretation skills.
• Proficiency in statistical analysis software and data management tools relevant to research.
• High standards of accuracy, data integrity, confidentiality, and adherence to research protocols.
• Strong written and verbal communication skills, including the ability to present statistical findings clearly.