AI/ML Scientist – Predictive Safety & Mechanistic Insights

Syngenta; Stein; Vor Ort; CHF 120.000 - 190.000; Vollzeit

Zusammenfassung

Syngenta invites applications for an AI/ML Technical Expert to advance predictive safety by translating priority safety questions into robust modelling strategies at the nexus of biology and computational science. You will craft scalable analytical capabilities to inform early decision-making across research programs.

Working at Syngenta, you will collaborate with toxicologists, biologists, chemists, bioinformaticians, and data scientists to develop and evaluate cutting-edge AI/ML methods and to

Qualifikationen

• PhD (or equivalent) in Computational Biology, Bioinformatics, Systems Biology, Computational Toxicology, Data Science, Computer Science, Biomedical Engineering, or related field.
• Experience integrating diverse biological data types and extracting meaningful insights from complex datasets.
• Strong programming skills in Python and experience with modern data science frameworks.
• Proven experience developing AI/ML or computational biology approaches with reproducible workflows.
• Self-starter with enthusiasm and willingness to learn.

Aufgaben

• Partner with toxicologists, biologists, chemists, bioinformaticians, and data scientists to define priority questions.
• Lead development and evaluation of advanced AI/ML methodologies for predictive safety.
• Apply ML and knowledge-driven approaches to extract biological signals from large datasets.
• Translate modelling outputs into actionable scientific insights for project decisions.
• Communicate findings clearly to multidisciplinary audiences and evaluate new methods for value.

Kenntnisse

Python programming

AI/ML methodologies

Data analysis

Scientific communication

Ausbildung

PhD inComputational Biology/Bioinformatics/CS

Tools

Python

ML frameworks (TensorFlow/PyTorch)

Data analysis tools

Jobbeschreibung

Syngenta invites applications for an AI/ML Technical Expert to advance predictive safety by translating priority safety questions into robust modelling strategies at the nexus of biology and computational science. You will craft scalable analytical capabilities to inform early decision-making across research programs.

Working at Syngenta, you will collaborate with toxicologists, biologists, chemists, bioinformaticians, and data scientists to develop and evaluate cutting-edge AI/ML methods and to