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Zambia Research Agronomist (Fixed-Term)
One Acre Fund
Posted 2 months agoKabwe, Zambia
Location
Kabwe, Zambia
Job Type
Full-time
Experience
Mid-Level
Category
Research
Job Description
End-to-End Logistics: Manage the entire inputs supply chain for trials, ensuring inputs arrive on time to meet strict seasonal planting windows.
Agile Troubleshooting: Act as the primary lead for on-the-ground execution, adapting protocols to real-world challenges without losing data integrity.
5+ years of experience in agricultural project management, with a proven track record of managing field trials, coordinating logistics, and delivering results on time and within budget.
3-5+ years of experience in agricultural research and field implementation, with demonstrated ability to balance research rigor with practical application, and are operationally feasible.
Excellent communication and training skills, with the ability to translate complex technical findings into clear, practical guidance for field staff and farmers
Excellent stakeholder coordination and communication skills, with the ability to work across teams (procurement, operations, field staff, MEL) to execute complex activities.
Self-motivated with strong problem-solving skills and attention to detail; able to manage multiple competing priorities and deadlines effectively
Proven experience in agricultural trial design and implementation. Strong quantitative skills with experience in data analysis (proficiency in R, Python, or similar statistical software preferred) will be considered an advantage
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Requirements
- Experience in smallholder farmer contexts, especially in Sub-Saharan Africa, is highly valued
- Bachelor's degree in Agronomy, Agriculture, or related field required; Master's degree preferred
Responsibilities
- Identify and prioritise new products or practices through market research, estimating farmer profitability, and risk assessment to ensure they align with organisational goals.
- Build rigorous, statistically sound experimental designs that are operationally feasible to execute in a rural field setting, and manage processes to assure data quality