Descripción
Company Description 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. Job Description We are seeking a highly skilled Data Scientist (m/f/d) with deep expertise in developing multi-omics data integration and machine learnings methods, to join our Digital & Data Science Group in Biologicals Research. Biologicals research discovers, characterizes, optimizes and produces novel biologicals. Biologicals are derived from nature. They can be naturally occurring microbes, extracts or molecules protecting plants from pests and diseases or improving plant and soil health. Within this role you will work on Syngenta ‘omics data to identify patterns in product performance and make predictions. You will be asked to develop methods to analyze and interpret the outcome of ‘omics experiments with your analytical skills as well as machine learning approaches. Your work will result in new tools to guide selection, optimization and development of novel Biologicals solutions. Key responsibilities will include: Develop and implement new multi-omics integration strategies (e.g., data harmonization, feature engineering, network-based methods) to strengthen biological interpretation and hypothesis generation Apply and advance machine learning, statistical modeling, and AI approaches to extract insights from complex, high‑dimensional, multi‑omics datasets Curate, quality contr