Data Scientist (m/f/d)

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

Benefits dieser Stelle

Open culture

Diverse workforce

Training options

Flexible working

Onsite doctor

Fitness room

Canteen

Family friendly initiatives

Child and Family allowance

Pension plan

Zusammenfassung

Syngenta Crop Protection in Switzerland is seeking a highly skilled Data Scientist (m/f/d) to join our Digital & Data Science Group in Biologicals Research. You will develop multi-omics integration strategies and apply machine learning to extract insights from complex data, guiding the development of novel biologicals.

The role involves data curation, model deployment with IT, and collaboration with scientists to ensure data quality and reproducibility while communicating findings to technical

Qualifikationen

• MSc or PhD in Data Science, Statistics, ML, Computational Biology, Bioinformatics, or related field.
• 3+ years developing multi-omics integration methods for complex biological datasets.
• Strong proficiency in Python and/or R, UNIX/Linux environments, ML frameworks, SQL.
• Experience with proteomics and metabolomics data analysis would be an asset.
• Dynamic personality with passion for innovation and problem-solving.

Aufgaben

• Develop and implement new multi-omics integration strategies to strengthen biological interpretation and hypothesis generation.
• Apply and advance machine learning, statistical modeling, and AI approaches to extract insights from high‑dimensional multi‑omics datasets.
• Curate, quality control, and integrate large scale ’omics datasets ensuring data integrity and reproducibility.
• Evaluate and develop new data analysis tools, validate findings with a trial and iterative approach, and communicate findings.
• Identify data needs and provide recommendations to scientists to ensure data quality and integrity.
• Collaborate to deliver new approaches and drive innovation in digital and data science including technology foresight.
• Work with R&D IT and software developers to deploy predictive model applications for stakeholder needs.
• Support business users with change management initiatives to manage data effectively.

Kenntnisse

Python

R

UNIX/Linux

SQL

ML frameworks

Multi-omics data analysis

Ausbildung

MSc or PhD in Data Science / related field

Jobbeschreibung

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 control, and integrate large scale ’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

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 developing multi-omics integration methods for complex biological, biochemical, environmental, or agricultural datasets
• Strong proficiency in Python and/or R, UNIX/Linux environments, ML frameworks, SQL
• Experience with proteomics and metabolomics data analysis would be an asset
• Dynamic personality with passion for innovation and problem-solving

Additional Information

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

• 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

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.