Product Biology Predictive Modeler
Product Biology Predictive Modeler
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1 Vacancy
Job Description
In this role you will apply predictive modeling techniques to assess product efficacy crop response etc. in field trials and controlled environments. Your work will involve analyzing complex biological and environmental interactions to improve decisionmaking. You will collaborate with crossfunctional teams to develop and refine models that enhance our understanding of crop yield pest control and environmental sustainability.
Beyond technical contributions you will play a strategic role in identifying opportunities for modeldriven insights advising on experimental design for optimal data collection and working closely with software developers to scale predictive tools for broader scientific use. Your expertise will help shape how we design trials interpret results and accelerate innovation in crop protection.
- Develop and apply datadriven and mechanistic models to predict biological efficacy and crop response optimizing product performance through analysis of largescale biological environmental and agronomic datasets.
- Collaborate with multidisciplinary teams to integrate predictive models into R&D workflows including geospatial analysis using GIS software and work with R&D IT to build data connections and deploy customerfacing applications.
- Provide guidance on experimental design to enhance data quality and modeling outcomes while merging data from multiple sources for comprehensive analysis.
- Contribute to a global Center of Excellence model collaborating with colleagues across functions to investigate interdisciplinary and multiscale modeling approaches that address fundamental business challenges.
- Stay abreast of new developments in the field monitoring modeling approaches used by other companies vendors and academia and explore new analytical tools and methodologies for potential deployment.
- Drive value for the business by identifying patterns and insights from data analysis and translating these findings into actionable recommendations for decisionmaking processes.
Qualifications :
Required:
- Advanced degree (MSc or PhD) in a relevant field such as Computational Biology Data Science Environmental Science or a related discipline with 3 years experience. Work level will be adjusted based on education and experience.
- Excellent foundation in predictive modeling data analytics and computational methods.
- Proficiency in programming languages such as Python R MATLAB or similar tools for data analysis and model development.
- Excellent knowledge of database query languages (e.g. SQL).
- Experience in biological ecological or environmental modeling with applications in areas such as pest dynamics disease epidemiology ecotoxicology or environmental fate modeling.
- Background in machine learning or AIdriven approaches applied to biological data.
Preferred:
- Familiarity with agricultural systems crop protection or agronomic practices.
- Experience with spatial modeling GIS analysis or remote sensing for agricultural applications.
Additional Information :
What We Offer:
- A culture that celebrates diversity & inclusion promotes professional development and strives for a worklife balance that supports the team members. Offers flexible work options to support your work and personal needs.
- Full Benefit Package (Medical Dental & Vision) that starts your first day.
- 401k plan with company match Profit Sharing & Retirement Savings Contribution.
- Paid Vacation Paid Holidays Maternity and Paternity Leave Education Assistance Wellness Programs Corporate Discounts among other benefits.
Syngenta has been ranked as atop employerby Science Journal.
Learn more about ourteamand ourmission here: 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.
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#LIDO1 #LIONSITE
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
