Role overview
<h3>About One Acre Fund</h3> <p>Founded in 2006, One Acre Fund equips 5.5 million smallholder farmers to make their farms more productive. Across nine countries that together are home to two-thirds of Africa's farmers, we provide high-quality farm supplies, tree seedlings, access
Advertisement
<h3>About One Acre Fund</h3>
<p>Founded in 2006, One Acre Fund equips 5.5 million smallholder farmers to make their farms more productive. Across nine countries that together are home to two-thirds of Africa's farmers, we provide high-quality farm supplies, tree seedlings, accessible credit, modern agronomic training, and a wide range of other agricultural services. On average, this model enables any farmer to increase their income and assets on supported land by more than 35 percent, while permanently improving their resilience. This is all made possible by our team of 9,000+ full-time staff, drawn from diverse backgrounds and professions. To learn more, please see our <a href="https://oneacrefund.org/careers/why-work-here" target="_blank">Why Work Here</a> blog post.</p>
<h3>About the Role</h3>
<p>The Research Agronomist will shape which products and practices reach smallholder farmers in Zambia. Through hands-on research, you will identify, test, and validate interventions that improve soil health, increase yields, and boost farm profitability at scale. You will lead the full research lifecycle, from discovery and field trials to recommendations that inform country strategy. Based in Kabwe with regular field visits, the role offers strong learning opportunities in rigorous trial design, practical problem-solving, cross-department collaboration, and field team capacity building, contributing to One Acre Fund’s evidence-based impact across Africa.</p>
<h3>Responsibilities</h3>
<p><strong>Research & Trials:</strong></p>
<ul>
<li>Identify and prioritise new products or practices through market research, estimating farmer profitability, and risk assessment to ensure they align with organisational goals.</li>
<li>Build rigorous, statistically sound experimental designs that are operationally feasible to execute in a rural fie
Advertisement