We have an exciting opportunity for a a scientifically rigorous and innovative AI/ML Technical Expert to advance predictive safety and strengthen early research decision-making through data-driven and mechanistic approaches. Within the role working at the interface of biology, computational science, and artificial intelligence you will translate priority safety questions into robust modelling strategies, interpretable insights, and scalable analytical capabilities. The role will contribute to the development of a predictive safety framework that enables earlier identification of risk, improves mechanistic understanding, and enhances the quality and confidence of decision-making across research programs.
01Partnering with toxicologists, biologists, chemists, bioinformaticians, and data scientists to define priority questions for predictive safety.
02Leading the development and evaluation of advanced AI/ML methodologies and predictive modelling approaches to address strategic safety questions.
03Applying machine learning, artificial intelligence, statistical modelling, and knowledge-driven approaches to extract meaningful biological signals (such as mechanisms of toxicity, AOPs, and safety-related outcomes) from large, complex, and heterogeneous datasets.
04Translating modelling outputs into actionable scientific insight that supports project and portfolio decisions.
05Evaluating emerging AI, modelling, and computational-biology methods, while identifying applications that offer practical scientific value.
06Communicating complex computational findings clearly and credibly to multidisciplinary audiences.
Exigences
↳PhD (or equivalent experience) 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.
Avantages
＋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
At Syngenta Crop Protection, we're pioneering solutions that safeguard global food security while championing sustainable agriculture. As a world market leader headquartered in Switzerland, we empower farmers with innovative crop protection technologies that defend against nature's toughest challenges. We unite advanced science with digital solutions to develop intelligent crop protection that maximizes yields while minimizing environmental impact. Join our mission of revolutionizing plant protection from seed to harvest. Syngenta has been ranked as a top employer by Science Magazine, and it has been awarded with the "Friendly Work Space" label to all its Swiss sites.
