Data Scientist Biologicals Research

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Syngenta Group is seeking a Data Scientist in Biologicals Research to join their Basel or Jealott’s Hill team, working onsite full time in a fast paced environment to analyze omics, phenotypic and environmental data, identify patterns in product performance, and build predictive models. You will curate large multi-omics datasets, support biomarker discovery and mode of action studies, and collaborate with IT and software developers to deploy models for scientists and business users. Ideal candidates hold an MSc or PhD in data science or related field with 3+ years applying ML to complex biological datasets, strong Python or R, UNIX/Linux skills, and experience with omics analysis and data visualization. To apply, tailor your CV to demonstrate cross functional impact, explain how you communicated results to non-technical audiences, include diplomas and work certificates, and highlight collaboration, problem solving and adaptability in a dynamic environment.

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.

Job Description

At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. To support this mission, Syngenta’s Digital & Data Science Group in Biologicals Research is seeking a Data Scientist in St. Johann – Basel (Switzerland) or Jealott’s Hill (UK). This role will support the delivery of 'omics, phenotypic, and environmental data to identify patterns in product performance and make predictions. You will analyze and interpret scientific experiments using analytical skills and machine learning approaches, guiding the selection, optimization, and development of novel biological solutions.

Biologicals research discovers, characterizes, optimizes, and produces novel biologicals derived from nature—naturally occurring microbes, extracts, or molecules that protect plants from pests and diseases or improve plant and soil health. In this role, you will work with Syngenta.

• Learn and understand the Biologicals data landscape, key data attributes, and experimental capabilities to identify opportunities for enabling and enhancing science through the deployment of analytical methods and multi-omics approaches.
• 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.
• Curate large-scale omics datasets for biomarker, mode of action, and trait discovery, while identifying data needs and providing recommendations to scientists to ensure data quantity and integrity for analyses.
• Shape Biologicals data analysis strategy and work collaboratively to deliver and deploy new approaches, share learning, and drive innovation in digital and data science including technology foresight.
• Work with R&D IT and software developers to improve predictive model deployment applications tailored to stakeholder needs, and support business users with change management initiatives to manage data more effectively.

Qualifications

Required Qualifications: 

• MSc or PhD in Data Science, Statistics, Machine Learning, Computational Biology, Bioinformatics, or related field with experience in natural sciences (e.g., chemical biology, ecology, environmental sciences).
• 3+ years of experience applying machine learning to complex biological, biochemical, environmental, or agricultural datasets.
• Strong 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, and ML frameworks.
• Proven ability to handle large datasets and use data analysis packages for 'omics data analysis and data visualization.

Desired Qualifications: 

• Demonstrated ability to inspire and collaborate with others to achieve excellence in scientific work.
• Strong passion for innovation and problem-solving with the ability to work effectively in a dynamic, fast-paced environment.
• Experience working cross-functionally with IT, software developers, and business stakeholders to deploy data science solutions.

Additional Information

What We Offer
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, diploma and work certificates (if applicable).
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. 
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