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.

We are seeking a highly skilled Data Scientist with deep expertise in machine learning and multi-omics data integration, coupled with hands-on experience working with plant and/or microbial ’omics datasets (e.g., genomics, transcriptomics, proteomics, metabolomics) 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, phenotypic and environmental data to identify patterns in product performance and make predictions. You will be asked to analyze and interpret the outcome of scientific experiments with your analytical skills as well as machine learning approaches. Your work will guide selection, optimization and development of novel biological solutions.  

Key responsibilities will include: 

• Learn and understand the Biologicals data landscape, key data attributes and experimental capabilities to identify opportunities for enabling and enhancing our science through the deployment of analytical methods and multi-omics approaches 
• Apply and advance machine learning, statistical modeling, and AI approaches to extract insights from complex, high‑dimensional, multi‑omics datasets 
• Design and implement multi-omics integration strategies (e.g., data harmonization, feature engineering, network-based methods) to strengthen biological interpretation and hypothesis generation 
• Curate, quality control, and integrate large scale plant ’omics datasets, ensuring data integrity, reproducibility, and downstream analytical readiness 
• Evaluate and develop new data analysis tools, validate findings using a trial and iterative approach, and effectively communicate findings to technical and non-technical audiences 
• Identify data needs and provide recommendations to scientists to ensure the quantity and verify the integrity of data used for analyses 
• Work collaboratively to deliver new approaches, share learnings, and drive innovation in digital and data science including technology foresight 
• Work with R&D IT and software developers to deploy predictive model applications tailored to stakeholder needs 
• Support business users with change management initiatives to manage data more effectively 

Required Qualifications: 

• MSc or PhD in Data Science, Statistics, Machine Learning, Computational Biology, Bioinformatics, or related field with some experience in natural sciences (e.g. chemical biology, microbiology, ecology, environmental sciences) 
• 3+ years applying ML to complex biological, biochemical, environmental, or agricultural datasets 
• A good understanding of experimentally derived biological data, data types and appropriate analysis methods, including multivariate statistics 
• Strong proficiency in Python and/or R, UNIX/Linux environments, ML frameworks 
• Proven ability to handle large datasets, and data analysis packages used for ‘omics data analysis and data visualization 
• Dynamic personality with passion for innovation and problem-solving 

We offer a variety of financial and non-financial benefits including:

• We offer a position which contributes to valuable and impactful work in a stimulating and international environment 
• The opportunity to make a difference to process safety, both within Syngenta’s global operations, and in shaping safety legislation and culture worldwide
• 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 (Family friendly initiatives, Child and Family allowance…)

 Please send your complete application with CV, a motivation letter that highlights your motivation and relevant experience for this position, diploma and work certificates (if applicable) in English. We will only consider applications that contain CV and motivation letters.

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. 
#LI-Hybrid