Computation Agronomy Scientist
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Job Location:
Monthly Salary:
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
We are seeking a Computational Agronomy Scientist to join our Global Computational Agronomy Team. This role combines agronomic expertise with data science skills to develop intelligent recommendation systems and decision support models that optimize the use of Syngenta Seed and Crop Protection products. Working with interdisciplinary teams including agronomic scientists data scientists engineers and digital product managers you will create digital solutions that deliver value to customers worldwide through practical data-driven agricultural innovations.
- Develop and implement agronomic models and data-driven recommendation systems for crop management practices including product selection and timing planting decisions fertilization irrigation and harvest timing optimization.
- Design build and validate predictive models to support the Crop Protection portfolio including fungicides insecticides herbicides seed treatments and biologicals.
- Analyze and integrate diverse agricultural datasets (field trial data weather information soil characteristics pest monitoring data agronomic scouting records) to generate actionable insights and support product development.
- Create data processing pipelines using Python to clean transform and analyze agricultural datasets leveraging generative AI to automate tasks and optimize workflows.
- Communicate model outcomes and analytical findings effectively to technical and non-technical stakeholders through presentations visualizations and technical documentation.
Qualifications :
Required Qualifications:
- Education: MS degree in Agronomy or related agricultural sciences with demonstrated experience in agricultural systems applied data science and technology (PhD preferred).
- Experience: Minimum 2 years of professional/academic experience in agricultural research crop consulting digital agronomy or related roles involving data analysis model building and validation and agronomic decision-making.
- Proficient English language communication skills (written and verbal) for collaboration with international teams.
Technical skills:
- Proficiency in Python and/or R programming with experience in data analysis forecast models and visualization tools.
- Demonstrated knowledge of computational and applied statistical methods including AI/ML techniques such as supervised learning time series forecasting clustering segmentation and Bayesian inference.
Agronomic knowledge:
- Deep knowledge of crop production systems (soybeans corn wheat cotton canola) including agronomic management practices growth stages yield-limiting factors and crop protection practices.
- Strong understanding of pest management including pest and pathogen lifecycles economic thresholds ROI concepts IPM principles and disease modeling for outbreak forecasting.
Desired Qualifications:
- Experience with epidemiology or disease ecology.
- Familiarity with crop simulation models (DSSAT APSIM) and geospatial datasets.
- Experience working in cloud environments (Amazon SageMaker) and collaborating with data engineers and ML engineers to deploy model solutions.
- Knowledge of Agile software development principles and related tools.
- Demonstrated ability to leverage generative AI tools (ChatGPT Claude GitHub Copilot) to enhance productivity and accelerate problem-solving.
- Practical knowledge of field-level agronomic research protocols IoT devices sensors and field monitoring techniques.
Additional Information :
- Candidates must be legally authorized to work in the country.
- Remote working is possible within the country.
What We Offer:
- A culture that promotes work/life balance celebrates diversity and offers numerous events throughout the year.
- Flexible working arrangements.
- Competitive salary and benefits package.
- A role that contributes to valuable and impactful work in a stimulating and international environment.
- Learning culture and a wide range of development options including access to learning platforms (Degreed and LinkedIn Learning)
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation marital or veteran status disability or any other legally protected status.
#LI-Remote
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
To help feed 10 billion people while reducing emissions and improve biodiversity. This is our mission as the global agriculture technology leader. With 59,000 employees in more than 100 countries and hundreds of thousands of agricultural partners worldwide, we are committed to transfo ... View more
