Collect, prepare, and load files into databases and/or repositories by carrying out standardized data quality control processes and routine data transformations.
Ensure that all files meet minimal metadata standards prior to loading into databases and/or repositories and maintain records of all data submission processes from the various team.
Support training in the use of project information management-related software including data capture and visualization tools.
Assist in the preparation of training materials.
Provide on-site support for the use of project information management-related software as well as hardware such as tablets, printers, and barcode scanners.
Extend regional data support via travel to experimental stations within Tanzania, Malawi and Zambia, and potentially other countries in Africa.
Develop working relationship with the AIDI team and support functions for strong capacity building and stakeholder management processes to be done efficiently.

Bachelor or master’s in applied statistics or any other relevant Bachelor’s degree.
Statistical, data management and programming skills including IMIS Fieldbook, R, SAS, META-R, SPSS, Python, MySQL, Earth Engine, QGis
At least 5 years working experience in a similar position.
Experience in providing technical support to technicians and data clerks both onside and online.
Experience on users in use of hardware and data management and statistical software.
Provide support on designing data collection tools and data preparations for research projects.
Continuously updated on data management skills and technologies through trainings: Open Data Management in Agriculture and Nutrition (GODAN), Plant Variety Protection (UPOV), Spatial Data Science (ESRI), Data Science (Microsoft); Biodiversity Informatics (AIMS), Manage Successful Impact Evaluation Surveys (World Bank).
Maintain and participate in activities of professional memberships: International Biometric Society, International Statistical Institute, American Statistical Association
Ability to contribute to publications such as:
Stability Assessment of Single-Cross Maize Hybrids Using GGE-Biplot Analysis
UAV-Based Multispectral Phenotyping for Disease Resistance to Accelerate Crop Improvement under Changing Climate Conditions
The selected candidate must exhibit the following competencies: Organization, Critical thinking, Teamwork, Client Orientation, Problem Solving decision making, Negotiation and Conflict resolution.

Closing Date : 30th April, 2023.

Get Notifications Faster by:

Data Coordinator AID-I CIMMYT