THE ORGANIZATION
The Alliance of Bioversity International and CIAT 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 Artemis project seeks a Scaling Research Associate to support the scaling team lead in driving the strategic expansion of AI-powered crop breeding technologies across Africa. This role combines agricultural innovation and business strategy, focusing on data-driven scaling approaches for public crop breeding systems.
Working closely with the scaling team lead, you will analyze data to refine Artemis' business model and develop scaling strategies. Your responsibilities include conducting market analyses, user profiling, competition assessments, and impact evaluations. You'll design experiments to test scaling hypotheses and develop monitoring systems to track progress against strategic objectives. Key tasks involve collecting and analyzing data from diverse stakeholders, including AI experts, field technicians, and enterprises. You'll translate findings into actionable insights, preparing evidence-based recommendations for the Artemis leadership team on short and long-term strategic matters.
Based in Tanzania with occasional regional travel, you'll contribute to demonstrating Artemis' cost-effectiveness through case studies and addressing adoption barriers. Your work will directly inform strategies to expand Artemis' impact on food security across the Global South.
This supporting role requires strong analytical, research, and report-writing skills. You'll transform complex data into compelling narratives for various stakeholders, contributing to scientific manuscripts and strategy documents that showcase Artemis' leadership in AI-driven agricultural innovation.
Key duties & responsibilities
Terms of employment
This position is a nationally recruited position based in Arusha, Tanzania. The initial contract will be for 1 year subject to a probation period of 3 months and is renewable depending on performance and availability of resources.
This position is graded at BG07, level, with a minimum basic salary of TZS 3,929,704 in a scale of BG01 to BG14 (BG14 being the highest level according to the Alliance job classification framework policy). We offer a competitive salary and excellent benefits including but not limited to insurance, retirement plan, staff training and development, paid time off and flexible working arrangements.
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 inclusive 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 RFP300449 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.
Applications closing date: 20th June 2025
Please note that email applications will not be considered.
Only short-listed candidates will be contacted.
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