Development of resistance-evolution models applied to fungicides
Support these models after their deployment with key internal and external stakeholders
Assist in resistance-modelling activities applied to other product lines (insecticides and herbicides)
Establish and maintain internal and external scientific collaborations for the continued development of resistance-evolution models and the understanding of resistance evolution as a business-critical process
Contribute to scientific publications
Represent Syngenta and support colleagues in international conferences and meetings promoting sustainable use of crop protection from a resistance-management perspective.
Accountabilities
Operational responsibility
Independently ensure good scientific practice is applied in fungicide resistance-modelling activities
In close collaboration with Global Prod. Biol. Fungicides, prioritize the operational models to be produced and delivered
Continuously improve modelling and analysis methods applied in the business in coordination with other project-team members locally and globally
Actively engage with the internal and external scientific community of resistance evolution exploring opportunities of business-value and knowledge aggregation
In close collaboration with Global Prod. Biology Fungicides, gather and leverage the necessary knowledge about fungal and plant biology to deploy biologically-relevant models.
Qualifications
Critical knowledge
PhD or comparable experience in a population biology-relevant discipline (e.g. population genetics, ecology, epidemiology, etc.)
Demonstrated experience in building and applying models in population biology is an absolute must
Mastery of R and/or Python programming languages. Other programming languages and skills are an asset
Profound knowledge of evolutionary biology; resistance-evolution experience in particular is a major asset
Advanced knowledge of computational methods for the processing, analysis and visualization of data from simulations and biological systems
Good notions of project management.
Critical experience
Experience in analysing and extracting knowledge from data
Networking and relationship building skills
Written and verbal communications skills
Experience in working independently and to a high level of accuracy.