Enter a job title or keyword

Scientific Expert – Disease Control Computational Biologist (fmd)

Syngenta Group


Job Location:

Rheinfelden - Switzerland

Monthly Salary: Not provided by the employer
Posted: 24 October 2026 (Yesterday)
Application Deadline: 21 January 2027
Vacancies: 1 Vacancy

Job Summary

Purpose of the role

  • Provide scientific leadership for computational and systems-level disease-control biology accelerating discovery and development of fungicide biological and integrated crop-protection solutions.
  • Integrate pathogen host crop environmental agronomic and multi-omics evidence with AI/ML bioinformatics and digital phenotyping to generate robust decision-ready insight from Discovery through Product Support.
  • Build reusable capabilities standards and partnerships while upholding scientific rigor data integrity HSE compliance and responsible-AI standards.

Accountabilities

  • Shape and co-own computational disease-biology roadmaps aligned with project needs stage plans and portfolio priorities.
  • Integrate pathogen host crop environmental agronomic and multi-omics data into mechanistic network and predictive models.
  • Design robust experiments and bioassays that validate computational predictions across laboratory greenhouse semi-field and field conditions.
  • Develop or co-develop AI/ML approaches for disease diagnosis image-based phenotyping efficacy prediction plant/leaf health and phytotoxicity resistance/risk assessment and experiment prioritization.
  • Define fit-for-purpose data pipelines from instrument and assay through analysis and decision support including LIMS/ELN integration.
  • Build reusable methods standards digital workflows and platforms driving adoption across Biology and Disease Control.
  • Provide evidence-based recommendations options risks and decision points to project teams and governance forums.
  • Establish strategic collaborations and mentor scientists and postdoctoral researchers while ensuring reproducibility IP protection HSE compliance and responsible use of AI.

 


Qualifications :

  • PhD with substantial post-PhD experience leading applied and fundamental research at the interface of disease biology and computational/data science.
  • Demonstrated practical deployment of computational statistical or machine-learning approaches in biological research.
  • Recognized scientific authority able to shape research strategy capability roadmaps and portfolio-relevant decisions
  • Track record of external scientific partnerships publications presentations IP or comparable community contribution.
  • Experience translating complex biological evidence into product-development regulatory stewardship or portfolio decisions.
  • Fluent written and spoken English; German is good to have

Additional Information :

We offer a variety of financial and non-financial benefits including:

    • A position which contributes to valuable and impactful work in a stimulating and international environment
    • A superb working environment with an open culture and diverse workforce where new ideas are always welcome
    • The opportunity to work with and learn from highly qualified and experienced employees and gain scientific and technical excellence
    • Learning culture (Together we Grow) and wide range of training options
    • You will profit from a competitive pension fund plan flexible working attractive bonus system onsite doctor fitness room canteen and other benefits such as Family friendly initiatives Child and Family allowance

 

Are you interested Please send your complete application with CV in English diploma and work certificates (if applicable).

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.

 


Remote Work :

No


Employment Type :

Full-time


About Company

Company Logo

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

View Profile View Profile