Data Officer at KEMRI

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KEMRI is hiring a Data Officer in Kenya. You will manage research data by performing quality checks, cleaning, and transcribing information into databases. This role involves coordinating study activities, generating reports, and maintaining technology systems. You will also be responsible for database design, record keeping, and training staff on technology and research procedures. If you have a Bachelor’s degree in a related field, experience in data management and analysis, and strong technical and communication skills, learn more about this opportunity and submit your application to join the KEMRI research team.


The 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 as the national body responsible for carrying out health research in Kenya.

Role Title: Data Officer

Key responsibilities

  • Conduct routine data quality/control audit controls on study generated data.
  • Perform data quality and control procedures.
  • Compile data, clean, transcribe onto database and submit data reports to research investigators.
  • Coordination of various ancillary studies on site
  • Preparing daily and weekly reports
  • Installing and configuring computer hardware, software systems, networks, printers, and scanners.
  • Ensure technology is accessible and equipped with current hardware and software.
  • Trouble shoots all technology issues including hardware, software, and network operating system.
  • Designing, improving, and updating live databases for long term data storage and back-ups.
  • Scanning and filing of records, archive systems in accordance with department procedures.
  • Provide training and orientation to new users and staff on various technologies.
  • Training staff on guidelines, policies, and procedures.
  • Any other duties as maybe assigned by the Supervisor.

Vacancy Requirements:

  1. Bachelor’s Degree in Computer Science, Mathematics, Statistics, or a related field(s) connected to data management studies plus years of relevant experience.
  2. Professional certification in courses on analytic skills and database management.
  3. Data management and a well rooted individual in statistical analysis skills.
  4. Good communication skills- both written and oral.
  5. Skills in database development.

Deadline: Sunday, May 10, 2026


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