Research Assistant
Support research on nutrition and youth through data analysis and coding.
This opening expired 1 year ago.
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Overview
Support research on nutrition and youth through data analysis and coding.
You have:
- At least a Bachelor on Agricultural Economics, Economics, development Economics, or related courses.
- Experience with analyzing spatial data.
- Experience in integrating climate data with other spatial datasets at different scales, frequency, and sources.
- Experience in R, Stata, and QGIS are plus.
- Proficiency in using the Microsoft Office package.
- Strong interpersonal, communication, and teamwork skills.
- Well-developed skills in personal organisation, priority setting, problem-solving, and accuracy.
- Confidence in supervising the work of others and ability to communicate clearly about the progress of work.
Job Description
THE ORGANIZATION The Alliance of Bioversity International and CIAT (Alliance) delivers research-based solutions that harness agricultural biodiversity and sustainably transform food systems to improve people’s lives. Alliance solutions address the global crises of malnutrition, climate change, biodiversity loss, and environmental degradation.
The Alliance works with local, national, and multinational partners across Latin America and the Caribbean, Asia and Africa, and with the public and private sectors. The Alliance is part of CGIAR, a global research partnership for a food-secure future, dedicated to reducing poverty, enhancing food and nutrition security, and improving natural resources and ecosystem services.
About the position
The Temporary Research Assistant will be responsible for supporting research on nutrition and youth, preparing literature reviews, assisting with data analysis using various datasets, developing reusable R code for assigned tasks, contributing to annotation work using large language models, and performing other duties as required to support the team.
Responsibilities
- Support the preparation of climate data at pixel level
- Support spatial analysis using different datasets
- Support merging different datasets and visualize on maps
- Prepare reusable R code for the tasks
- Support annotation work using large language model
Perform other duties as required for the team.
Requirements
At least a Bachelor on Agricultural Economics, Economics, development Economics, or related courses.
- Experience with analyzing spatial data
- Experience in integrating climate data with other spatial datasets at different scales, frequency, and sources.
- Experience in R, stata, and QIGS are plus
- Proficiency in using the Microsoft Office package
- Strong interpersonal, communication, and teamwork skills.
- Well-developed skills in personal organisation, priority setting, problem-solving, and accuracy.
Confidence in supervising the work of others and ability to communicate clearly about the progress of work
Terms of employment
This position is a nationally recruited position based in Nairobi, Kenya. The contract will be for a period of 11 months.
The Alliance Bioversity-CIAT is committed to fair, safe, and inclusive workplaces. We believe that diversity powers our innovation, contributes to our excellence, and is critical for our mission.Recruiting and mentoring staff to create an i nclusive organization that reflects our global character is a priority. We encourage applicants from all cultures, races, colors, religions, sexes, national or regional origins, ages, disability statuses, sexual orientations, marital status, and gender identities. Female candidates are strongly encouraged to apply.
Applications
Applicants are invited to visit https://alliancebioversityciat.org/careers to get full details of the position and to submit their applications. Applications MUST include reference number RFP300316- Temporary Research Assistant as the position applied for. Cover letter and CV should be saved as one document using the candidate’s last name, first name for ease of sorting. The Alliance collects and process personal data in accordance with applicable data protection laws.
Potential interview questions
| Can you describe a project where you analyzed spatial data? | The interviewer wants to assess your experience and technical skills in spatial data analysis. | Share insights about the project, the tools you used, and the outcomes. |
| How have you integrated climate data into your previous analyses? | This question evaluates your understanding of climate data and its application. | Pro members can see the explanation. |
| Describe a time you developed code to automate a process. What was the outcome? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you prioritize tasks when working on multiple projects? | Pro members can see the explanation. | Pro members can see the explanation. |
| Tell us about a situation where you had to communicate complex data findings to a non-technical audience. | Pro members can see the explanation. | Pro members can see the explanation. |
Added 1 year ago
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Updated 1 year ago
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Source:
alliancebioversityciat.org
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