Established in 1970 and headquartered in Nairobi, Kenya, the International Centre of Insect Physiology and Ecology (www.icipe.org) is distinct, being the only research organisation in Africa working primarily on insects and other arthropods. icipe is also the sole institution that combines research and development activities across plant health, human health, animal health, and environmental health. icipe generates world-class scientific knowledge and translates it into insect-based, nature-positive, one health innovations that sustainably transform millions of livelihoods across Africa and beyond. Additionally, icipe nurtures Africa’s talent and leadership in insect science through the Centre’s long-standing programmes in doctoral and postdoctoral training, advancement of research and innovation in applied sciences, engineering, and technology, and the creation of a bioeconomy in Africa. The Centre has about 500 international and national staff, operations in more than 40 countries in Africa, and over 300 partnerships with diverse organisations across the world. For additional information, visit: (www.icipe.org).

Please also download icipe’s Vision and Strategy 2026-2030: https://www.icipe.org/content/icipe-vision-and-strategy-2026-2030

icipe seeks to recruit a Business Support Officer I (Project Assistant) under the Integrated Data & Analytics Platform. The positions are tenable in Nairobi at the icipe Duduville Campus. This is a two-year contract, renewable subject to continued position needs, funding for the position, and the staff member’s performance. This is a nationally recruited position. A competitive compensation package will be offered to the right candidates. Only shortlisted candidates will be contacted.

Overall Purpose of the Job

To provide project management support to the Vector Atlas PI, scientists, staff, consultants, students and interns for efficient and timely implementation of the project activities.

Specific duties

• Coordinate logistical aspects of project management activities ensuring smooth execution of events such as seminars and workshops and training activities.
• Ensure Documentation Management regarding meetings, trainings, and help compile and share minutes and perform filing.
• Support effective communication among project stakeholders as well as researchers, trainers, policymakers, and partner institutions.
• Prepare reports, presentations and other project-related documents ensuring alignment with project objectives and stakeholders’ requirements.
• Offer training on GIS and remote sensing tools as part of capacity-building activities.

Requirements/ qualifications

• Bachelor’s degree in Geospatial Information Science or a related field from a recognized university.
• At least 2 years proven work experience in Bee research, and modelling.
• Previous work experience in an international/regional research organisation.
• Experience in geospatial data collection, analysis, and reporting to support research outputs.
• Proficiency in GIS and remote sensing software, including the use of open-source geospatial platforms.
• Knowledge and skills in machine learning modelling and statistical analysis, using open-source programming environments such as R and Google Earth Engine.
• Experience using Open Data Kit (ODK) and/or other geospatial data collection applications.

Reporting

This position reports to the Post-Doctoral Fellow.

• Coordinate logistical aspects of project management activities ensuring smooth execution of events such as seminars and workshops and training activities.
• Ensure Documentation Management regarding meetings, trainings, and help compile and share minutes and perform filing.
• Support effective communication among project stakeholders as well as researchers, trainers, policymakers, and partner institutions.
• Prepare reports, presentations and other project-related documents ensuring alignment with project objectives and stakeholders’ requirements.
• Offer training on GIS and remote sensing tools as part of capacity-building activities.

• Proficiency in GIS and remote sensing software, including the use of open-source geospatial platforms.
• Knowledge and skills in machine learning modelling and statistical analysis, using open-source programming environments such as R and Google Earth Engine.
• Experience using Open Data Kit (ODK) and/or other geospatial data collection applications.

• Bachelor’s degree in Geospatial Information Science or a related field from a recognized university.
• At least 2 years proven work experience in Bee research, and modelling.
• Previous work experience in an international/regional research organisation.
• Experience in geospatial data collection, analysis, and reporting to support research outputs.