Data Scientist – Multi-Omics & AI for Crop Biology

Syngenta Crop Protection; Stein; On-site; CHF 120,000 - 190,000; Full time

Benefits offered by this job

Open culture

Diverse workforce

Training options

Flexible working

Onsite doctor

Fitness room

Canteen

Family friendly initiatives

Child and Family allowance

Pension plan

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

R

UNIX/Linux

SQL

ML frameworks

Multi-omics data analysis

Education

MSc or PhD in Data Science / related field

Job description

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