Field scientist – Mogi Mirim/SP [remoto]

SP l São Paulo
Efetivo (CLT)
Engenheiro Agrícola
Engenheiro Agrônomo

Responsabilidades

• Identify, propose, and develop new scientific concepts, mechanisms of action, and technologies for weed control, from ideation through early development stages.
• Define experimental approaches, develop scientific hypotheses, and lead studies conducted in greenhouse, field, and laboratory environments.
• Manage and lead Herbicide Discovery & Development projects, coordinating technical resources, support teams, and cross-functional interfaces.
• Act with a disruptive and innovative mindset, continuously improving experimental processes, trial designs, workflows, and use of analytical and digital tools.
• Evaluate new active ingredients, combinations, formulations, and application strategies with a focus on efficacy, selectivity, sustainability, and technical feasibility.
• Work closely with Biology, Chemistry, Formulation, Development, Regulatory, Intellectual Property, and Data Science teams.
• Actively contribute to the development, prioritization, and execution of a robust and competitive herbicide innovation pipeline.
• Establish and maintain external scientific collaborations with universities, research institutions, startups, and technology partners.
• Representar a empresa em scientific forums, conferences, and technical committees, strengthening the Company’s reputation as an innovation leader.
• Ensure high-quality scientific and technical documentation, maintaining traceability, compliance, and adherence to global standards.

Requisitos

• Bachelor’s degree in Agronomy and Agricultural Engineering.
• MSc or PhD in Weed Science or Crop Science applied to Weed Science.
• Proven experience in applied scientific research, preferably in herbicide discovery and/or development.
• Strong knowledge of weed biology, herbicide modes of action, selectivity, resistance, and integrated weed management.
• Demonstrated experience conducting experiments in field, greenhouse, and laboratory settings.
• Advanced analytical skills for data interpretation and use of statistical tools, as well as artificial intelligence tools.
• Advanced English proficiency; Spanish is a plus.
• Highly innovative, proactive, and collaborative profile, with strong technical communication skills.
• Experience or demonstrated potential for technical or project leadership within an R&D environment.
• Active CREA.
• Driver’s License, Category B.