Computational Disease Biologist | AI-Driven Crop Protection

Syngenta Group; Stein; On-site; CHF 140,000 - 190,000; Full time

Benefits offered by this job

Health and wellness programs

Competitive pension plan

onsite doctor

Fitness room

Canteen

Job summary

Syngenta Group seeks a Scientific Expert – Disease Control Computational Biologist to lead computational disease-biology initiatives across discovery and product support. The role integrates multi-omics with AI/ML to deliver robust, decision-ready insights and develop reusable capabilities within a global organization.

You will mentor scientists, drive scientific rigor and data integrity, and collaborate with teams to prioritize experiments and enable responsible AI deployment in crop protection.

Qualifications

• PhD with substantial post-PhD experience in disease biology and computational/data science.
• Demonstrated deployment of computational or machine-learning approaches in biological research.
• Proven ability to shape research strategy and roadmaps.

Responsibilities

• Lead computational disease-biology roadmaps aligned with project needs and portfolio priorities.
• Integrate pathogen, host, crop, environmental, and multi-omics data into mechanistic and predictive models.
• Design robust experiments and bioassays validating computational predictions across lab, greenhouse, and field contexts.
• Develop AI/ML approaches for disease diagnosis, phenotyping, and risk assessment.
• Define fit-for-purpose data pipelines and ensure data integrity and reproducibility.

Skills

Computational biology

AI/ML in biology

Bioinformatics

Multi-omics data integration

Experiment design

Leadership

Education

PhD in relevant field

Tools

Python

R

ML frameworks

Job description

Syngenta Group seeks a Scientific Expert – Disease Control Computational Biologist to lead computational disease-biology initiatives across discovery and product support. The role integrates multi-omics with AI/ML to deliver robust, decision-ready insights and develop reusable capabilities within a global organization.

You will mentor scientists, drive scientific rigor and data integrity, and collaborate with teams to prioritize experiments and enable responsible AI deployment in crop protection.