AI/ML Scientist: Predictive Safety & Multimodal Biology

Syngenta Crop Protection; Stein; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

International environment

Open culture

Training options

Pension plan

Onsite doctor

Canteen

Family-friendly benefits

Zusammenfassung

Syngenta Crop Protection is seeking an AI/ML Technical Expert to advance predictive safety and multimodal biology. You will bridge biology, computation, and AI to turn priority safety questions into robust modelling strategies and interpretable insights, enabling earlier risk identification and stronger decision making across research programs.

Join a world-leading team in Switzerland focused on innovative crop protection.

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.
• Experience in computational toxicology, predictive safety, agrochemical research, pharmaceutical discovery, environmental science, or another applied research setting.
• Familiarity with adverse outcome pathways, mode‑of‑action frameworks, systems toxicology, network biology, or causal inference.
• Background in applying AI to biological or toxicological data, including multimodal learning, graph‑based methods, foundation models, or representation learning with experience in using phenotypic imaging, cell painting, transcriptomic, metabolomic, or other molecular data as supporting evidence for model development or mechanistic interpretation.

Aufgaben

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

Kenntnisse

Python

AI/ML

Data science

Multimodal learning

Reproducible workflows

Ausbildung

PhD in Computational Biology

Related discipline

Tools

TensorFlow

PyTorch

scikit-learn

Jobbeschreibung

Syngenta Crop Protection is seeking an AI/ML Technical Expert to advance predictive safety and multimodal biology. You will bridge biology, computation, and AI to turn priority safety questions into robust modelling strategies and interpretable insights, enabling earlier risk identification and stronger decision making across research programs.

Join a world-leading team in Switzerland focused on innovative crop protection.