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Mid-level Research, academy jobs in Ngong, Kenya
2 jobs found
Relief
REQUEST FOR PROPOSAL Evaluation of the WAZZII Chatbot Digital Health and AI Evaluation, Kenya Girl Effect Kenya Issue Date: 14th October 2026
Closed for applications
Expired
Posted: 16 Oct 2026
World Agroforestry Centre (ICRAF)
Senior Research Associate – Market Intelligence
Closed for applications
Expired
Posted: 5 Oct 2026
Kenya Institute of Special Education- KISE
Assistant Director Research, Consultancy and Partnership
Closed for applications
Expired
Posted: 2 Oct 2026
Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT)
Visiting PhD Researcher - Bean Metabolomic Diversity
Closed for applications
Expired
Posted: 24 Sep 2026
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World Agroforestry Centre (ICRAF)
Senior Scientists- Carbon and Greenhouse Gas Measurement
Closed for applications
Expired
Posted: 6 Sep 2026
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Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) , Jacaranda Health, Relief, World Agroforestry Centre (ICRAF), xAIProfession (Mid-level)
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Industry (Research, academy, Mid-level)
Seniority (Research, academy)
© Fuzu Ltd
United Nations
Non-profit + 1 more
Description
Education
Advanced university degree (Master's degree or equivalent) in statistics, mathematics, economics, sociology, demography or related field is required.
A first level university degree in combination with two (2) years of qualifying work experience may be accepted in lieu of the advanced university degree.
Successful completion of both degree and non-degree programs in data analytics, business analytics or data science programs is desirable.
Work Experience
A minimum of seven (7) years of progressively responsible experience in statistics and data or related area is required.
The development of capacity building projects and conducting workshops for training and developing and promoting indicators for policy formulation is required.
Experience with the design and use of urban and housing indicators is required.
Experience the application of digital technology for statistics and data is desirable.
Experience in statistical projects and work experience in multilateral organisations is desirable.
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