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.

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Data Manager

Job Type

Contract

Qualification

BA/BSc/HND

Experience

3 years

Location

Nairobi

Job Field

Data, Business Analysis and AI , ICT / Computer

Key Responsibilities:

• Design, develop, review, and maintain data collection tools and databases (ODK, REDCap, Epi Info, Excel, and other web- and mobile-based platforms).
• Develop and implement study protocols, SOPs, and Data Management Plans (DMPs), ensuring strict adherence and regulatory compliance.
• Oversee data collection, entry, cleaning, validation, secure storage, and discrepancy resolution to ensure accuracy, completeness, integrity, and confidentiality.
• Develop comprehensive Statistical Analysis Plans (SAPs) and apply advanced statistical methods to analyze longitudinal, cohort, and multilevel datasets, grounded in sound statistical theory.
• Select, justify, and interpret appropriate analytical approaches to ensure scientific rigor and validity of findings.
• Ensure robust data governance and compliance with the Data Protection Act and institutional policies, including backups, security controls, and restricted access.
• Generate dashboards and analytical reports (Power BI, Tableau, Excel); contribute to CRF design, database creation/testing, and statistical documentation for regulatory submissions.
• Prepare and submit timely monitoring reports (daily to quarterly, DSMB, sponsor) and support abstract and manuscript preparation.

Vacancy Requirements:

• Bachelor of Science in Statistics with a Master’s degree in statistics/biostatistics, epidemiology, , or related field. Mandatory
• Proficiency in software package (e.g., SAS/STATA/R/SPSS) Mandatory
• Minimum 3 years’ relevant experience Mandatory
• Experience managing & 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

• Design, develop, review, and maintain data collection tools and databases (ODK, REDCap, Epi Info, Excel, and other web- and mobile-based platforms).
• Develop and implement study protocols, SOPs, and Data Management Plans (DMPs), ensuring strict adherence and regulatory compliance.
• Oversee data collection, entry, cleaning, validation, secure storage, and discrepancy resolution to ensure accuracy, completeness, integrity, and confidentiality.
• Develop comprehensive Statistical Analysis Plans (SAPs) and apply advanced statistical methods to analyze longitudinal, cohort, and multilevel datasets, grounded in sound statistical theory.
• Select, justify, and interpret appropriate analytical approaches to ensure scientific rigor and validity of findings.
• Ensure robust data governance and compliance with the Data Protection Act and institutional policies, including backups, security controls, and restricted access.
• Generate dashboards and analytical reports (Power BI, Tableau, Excel); contribute to CRF design, database creation/testing, and statistical documentation for regulatory submissions.
• Prepare and submit timely monitoring reports (daily to quarterly, DSMB, sponsor) and support abstract and manuscript preparation.

• Proficiency in software package (e.g., SAS/STATA/R/SPSS)
• Ability to prioritize, work under deadlines, work with minimal supervision and multitask
• Knowledge of concepts of public health, epidemiology and surveillance

• Bachelor of Science in Statistics with a Master’s degree in statistics/biostatistics, epidemiology, , or related field.
• Proficiency in software package (e.g., SAS/STATA/R/SPSS)
• Minimum 3 years’ relevant experience
• Experience managing & analysis of large amount of data, especially repeat cross-sectional surveys or longitudinal data
• Ability to prioritize, work under deadlines, work with minimal supervision and multitask
• Knowledge of concepts of public health, epidemiology and surveillance