Data Officer at Kenyatta National Hospital

KNH has turned 115 years and it had its Centenary Celebration in 2001. The Hospital was built to fulfill the role of being a National Referral and Teaching Hospital, as well as to provide medical research environment. Established in 1901 with a bed capacity of 40, KNH became a State Corporation in 1987 with a Board of Management and is at the apex of the referral system in the Health Sector in Kenya. It covers an area of 45.7 hectares and within the KNH complex are College of Health Sciences (University of Nairobi); the Kenya Medical Training College; Kenya Medical Research Institute and National Laboratory Service (Ministry of Health). KNH has 50 wards, 22out-patient clinics, 24 theaters (16 specialized) and Accident & Emergency Department. Out of the total bed capacity of 1800, 209 beds are for the Private Wing. Kenyatta National Hospital in Nairobi is the oldest hospital in Kenya. Founded in 1901 with a bed capacity of 40 as the Native Civil hospital, it was renamed the King George VI in 1952. At that time the settler community were served by the nearby European Hospital (now Nairobi Hospital). It was renamed Kenyatta National Hospital – after Jomo Kenyatta – following independence from the British. It is currently the largest referral and teaching hospital in the country. Kenyatta National Hospital has a capacity of 1800 beds and has over 6000 staff members. It covers an area of 45.7 hectares. The University of Nairobi Medical School, and several government agencies are located on the campus.

Essential requirements:

• Must have a bachelor degree in mathematics or statistics


• Minimum one-year experience in data entry in research


• Proficient in excel in generating and analyzing study reports


• Team player with ability to work closely with other study staff


• MUST have experience in REDCAP


• Language skills: fluency in English and Kiswahili and/or Luo


• Excellent communication skills: Must be able to communicate regularly with the study team via email and zoom

Duties and responsibilities

• Preparing weekly clinic reports


• Designing study database


• Data cleaning


• Data entry


• Data analyses


• Abstracting project data from clinic records


• Uploading data to server


• Respond to data queries as requested


• Support study nurses with data collection activities

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