Multi-Omics Data Scientist — ML & Bioinformatics, Flexible

Syngenta; Stein; Vor Ort; CHF 110.000 - 170.000; Vollzeit

Benefits dieser Stelle

Pension plan

Flexible working

Onsite doctor

Fitness room

Canteen

Family friendly initiatives

Child and Family allowance

Zusammenfassung

Syngenta is seeking a Data Scientist (m/f/d) to join our Digital & Data Science Group in Biologicals Research in Switzerland. You will develop multi-omics integration and machine learning methods to interpret complex data, curate large omics datasets, and communicate findings to diverse audiences.

The role emphasizes collaboration with R&D IT and software developers to deploy predictive models and to support data-driven decision making for plant protection innovations.

Qualifikationen

• MSc or PhD in Data Science, Statistics, ML, Computational Biology, Bioinformatics.
• 3+ years developing multi-omics integration methods for complex datasets.
• Strong Python and/or R, UNIX/Linux, ML frameworks, SQL.
• Experience with proteomics/metabolomics data is a plus.

Aufgaben

• Develop and implement multi-omics integration strategies to strengthen interpretation and hypothesis generation.
• Apply machine learning, statistical modeling, and AI to high‑dimensional datasets.
• Curate and integrate large-scale omics data ensuring data integrity and reproducibility.
• Evaluate new data analysis tools, validate findings, and communicate to technical and non-technical audiences.
• Identify data needs and advise scientists to ensure data quality for analyses.
• Collaborate to deliver new approaches and drive innovation in digital and data science.
• Work with IT and developers to deploy predictive model applications for stakeholders.
• Support business users with change management to manage data effectively.

Kenntnisse

Python

R

UNIX/Linux

ML frameworks

SQL

Proteomics

Ausbildung

MSc or PhD in Data Science

Tools

Git

Docker

Jupyter

Jobbeschreibung

Syngenta is seeking a Data Scientist (m/f/d) to join our Digital & Data Science Group in Biologicals Research in Switzerland. You will develop multi-omics integration and machine learning methods to interpret complex data, curate large omics datasets, and communicate findings to diverse audiences.

The role emphasizes collaboration with R&D IT and software developers to deploy predictive models and to support data-driven decision making for plant protection innovations.