AI/ML Scientist for Predictive Safety & Bioinformatics

Syngenta Group; Aargau; Vor Ort; CHF 150.000 - 230.000; Vollzeit

Benefits dieser Stelle

Open culture

Flexible working

Pension plan

Onsite doctor

Gym / fitness room

Canteen

Family friendly initiatives

Child and Family allowance

Zusammenfassung

Syngenta Crop Protection in Switzerland seeks a scientifically rigorous AI/ML Technical Expert to advance predictive safety and support early decision-making through data-driven and mechanistic modelling.

You will bridge biology, computational science, and AI to translate priority safety questions into robust modelling strategies, interpretable insights, and scalable analytical capabilities, guiding project decisions across research programs.

Qualifikationen

• PhD (or equivalent) in Computational Biology, Bioinformatics, Systems Biology, Computational Toxicology, Data Science, Computer Science, Biomedical Engineering, or a related discipline.
• Demonstrated experience integrating diverse biological data types and extracting meaningful biological insight from complex, high-dimensional datasets.
• Strong programming skills in Python and experience with modern data science and machine learning frameworks.
• Proven experience in developing, validating and applying AI/ML, statistical, or computational biology approaches to address biological questions, while building reproducible computational workflows, analytical pipelines, and scientific software tools.
• Self-starter with enthusiasm, flexibility and desire to learn and apply new skills.

Aufgaben

• Partner with toxicologists, biologists, chemists, bioinformaticians, and data scientists to define priority questions for predictive safety.
• Lead the development and evaluation of advanced AI/ML methodologies and predictive modelling approaches to address strategic safety questions.
• Apply machine learning, artificial intelligence, statistical modelling, and knowledge-driven approaches to extract meaningful biological signals from large, complex datasets.
• Translate modelling outputs into actionable scientific insight that supports project and portfolio decisions.
• Evaluate emerging AI, modelling, and computational-biology methods, while identifying applications that offer practical scientific value.
• Communicate complex computational findings clearly to multidisciplinary audiences.

Kenntnisse

Python

AI/ML

Data integration

Scientific software

Reproducible workflows

Ausbildung

PhD in Computational Biology / related field

Jobbeschreibung

Syngenta Crop Protection in Switzerland seeks a scientifically rigorous AI/ML Technical Expert to advance predictive safety and support early decision-making through data-driven and mechanistic modelling.

You will bridge biology, computational science, and AI to translate priority safety questions into robust modelling strategies, interpretable insights, and scalable analytical capabilities, guiding project decisions across research programs.