Data Manager at Kenya Medical Research – KEMRI

Full time @Kenya Medical Research Institute in Data Analytics , in Government
  • Nairobi, Nairobi County, Kenya, 01000 View on Map
  • Post Date : March 17, 2026
  • Salary: Ksh20,000.00 - Ksh100,000.00 / Monthly
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Job Detail

  • Job ID 10164
  • Offered Salary  1000
  • Career Level  Others
  • Experience  2 Years
  • Gender  Both
  • Industry  Government
  • Qualifications  Diploma/Degree/Masters
  • State  Nairobi
  • City  Nairobi

Job Description

Data Manager at Kenya Medical Research – KEMRI

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

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