Scientific Expert – Disease Control Computational Biologist (f/m/d)

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

Scientific Expert – Disease Control Computational Biologist (f/m/d)

• Full-time

As a world market leader in crop protection, we help farmers to counter these threats and ensure enough safe, nutritious, affordable food for all – while minimizing the use of land and other agricultural inputs. Syngenta Crop Protection keeps plants safe from planting to harvesting. From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects and diseases as well as droughts and floods, heat and cold. Syngenta Crop Protection is headquartered in Switzerland.

Health Promotion Switzerland recognizes Syngenta's commitment to the health and well-being of its employees and awards the "Friendly Work Space" label to all its Swiss sites. At Syngenta, employee health and well-being are key to the company

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.

• 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.
• Fluent written and spoken English; German is good to have.

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

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.