MG l Minas Gerais
Efetivo (CLT)
Biólogo
Biotecnologista
Engenheiro Agrônomo
Responsabilidades
- Develop and deploy global disease and pest risk models to anticipate emerging threats and support timely decisions across the crop portfolio.
- Assess plant health risks for row crops and vegetables to enable proactive disease and pest management.
- Develop innovative approaches to understand disease and pest dynamics and quantify potential impacts on crop yield and performance.
- Provide technical and analytical insights to Plant Health, early- and late-pipeline teams to advance Breeding and broader R&D objectives.
- Build cross-functional partnerships connecting germplasm, native traits, agronomic practices and crop protection to develop integrated solutions.
- Develop and deploy forecasting tools and interactive decision-support interfaces to expand access to actionable plant health insights.
- Contribute to the Global Plant Health Community on risk assessment, yield-loss modelling, climate-related risks and product concept projects.
Requisitos
- QUALIFICAÇÕES MÍNIMAS
- PhD in Plant Health, Plant Pathology or a related field.
- Solid technical knowledge of plant pests and diseases, with the ability to assess and anticipate risks for row crops and vegetables.
- Fluency in English and Portuguese.
- Strong collaboration and impactful communication skills, with the ability to work with multicultural stakeholders in Brazil, India and France.
- Unlock the passion and energy of teams to deliver greater value efficiently.
- Empower teams and promote collaboration across the network.
- Availability to work on-site in Uberlândia.
- QUALIFICAÇÕES PREFERENCIAIS
- Experience working at the interface of Plant Health, Breeding and Row Crop and in projects with global scope.
- Demonstrated experience in plant disease epidemiology, predictive risk modelling and simulations, meta-analysis, machine learning and Artificial Intelligence.
- Knowledge of pest, disease and/or nematode management, vector biology and ecology, including Breeding and Crop Protection approaches.
- Experience applying new technologies and analytical tools to generate insights from large-scale datasets.
- Working knowledge of field phenotyping, disease diagnostics, advanced breeding methodologies, and disease surveillance and monitoring.
