Agricultural R&D Manager

About

The Agricultural R&D Manager leads country-program agricultural R&D strategy execution, trial execution, research-design and tool standardization, FAIR data principles, efficiency metrics, KPI tracking and research dashboards. The role develops research-backed agricultural recommendations, provides regional technical guidance, and trains country research staff; One Acre Fund can support a work permit, with nationals of or people with extensive professional backgrounds in its countries of operation preferred. Terms of service: Contract duration 3 years. Duty station: Flexible, Countries of Operations. Benefits: Health insurance, housing, and comprehensive benefits. Preferred start date: As soon as possible.

How to apply

Apply online through the official advert page on One Acre Fund Careers.

Responsibilities

• Provide thought leadership and technical guidance for the development and implementation of strategies to deepen farmer impact through improved (e.g. spatially and temporally tailored) agronomy, for example:
• Variety recommendations - leadership and oversight of research to generate high-impact and adoptable seed recommendations at region to field level, and drive development of country-level strategies to diversify seed catalogs and encourage farmers to experiment with and adopt varieties that improve t
• Crop nutrition - Develop recommendations to improve profitability & sustainability of fertilizer use through improved rates, composition, timing or methods of application, or reduce fertilizer requirements through the use of organic or biological alternatives.
• Soil health - Develop recommendations for adoption of erosion-mitigation practices, soil micro-ogarnisms build-up and soil structure improvement. This will be delivered through a combination of desk research, trial, survey and qualitative research.
• Technical consulting - Serve as the regional technical expert, delivering rapid, evidence-backed advice for urgent field challenges or unexpected trial anomalies.
• Research strategy & trial design - provide technical leadership to ensure research methodologies and execution produce rigorous data for characterisation of technology performance and adoption potential, and that innovation pipelines are efficiently designed to generate the data and insights needed
• Research data analysis & interpretation - execute and provide oversight for analysis of trials, survey and other data to generate actionable recommendations for program decision-makers and farmers.
• R&D operations, efficiency metrics & KPI tracking - establish standardized efficiency metrics and KPI tracking systems across all operating countries to monitor trial progress, protocol compliance, data quality, and milestone achievement.
• Develop and manage routine reporting cadence and country-level dashboards to keep global and country leadership teams informed on Ag R&D execution and emerging findings.
• R&D pipeline management - participate in stage-gate processes to evaluate innovations based on clear impact and adoption potential metrics and keep the pipeline up to date.
• Capacity Building - design training materials and conduct regional workshops on trial design, data analysis and management for country research staff.
• Outsight - Collaborate and share information with various other institutions and the private sector in agriculture research (universities, CGIAR, NARES, seed companies, donors) to ensure that their research priorities are influenced by field perspectives on key knowledge gaps or market opportunities

Qualifications

• Fluency in agronomy, physiology, G x E x M, and major pests of crops widely cultivated in our operating areas, especially maize (and related cereals), solanaceae, beans (and other legumes) as well as high value crops (e.g. chilli).
• Ability to translate knowledge of technically optimal agronomy into simpler, practical and prioritized recommendations for field teams and farmers.
• PhD with 3 years or MSc with 5 years experience in applied agricultural sciences.
• Experience in designing and managing on-station and on-farm trials (with smallholder farmers).
• Knowledge of appropriate application and interpretation of parametric and non-parametric statistical analysis techniques and visualizations for agronomic trial data.
• Familiarity with predictive and classification machine learning algorithms and their potential applications to the development and delivery of agronomic recommendations (using relevant climate and soil data layers).
• Demonstrated track record of establishing project management frameworks, country-level KPI tracking, R&D efficiency metrics and executive status reporting.