Multi-Omics Data Scientist for Biologicals Research

Syngenta; Stein; On-site; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Competitive pension

Flexible working

Onsite doctor

Fitness room

Canteen

Family friendly initiatives

Job summary

Syngenta Crop Protection seeks a Data Scientist (m/f/d) to join the Digital & Data Science Group in Biologicals Research. You will work on omics data to identify patterns in product performance and develop tools guiding selection and development of Biologicals solutions.

Responsibilities include developing integration strategies, applying ML approaches, and collaborating with R&D IT to deploy predictive model applications for stakeholders.

Qualifications

• 3+ years developing multi-omics integration methods for complex biological datasets.
• Proficient in Python and/or R, UNIX/Linux environments, ML frameworks, SQL.
• Experience with proteomics and metabolomics data analysis is an asset.
• Some experience in natural sciences enhances suitability.

Responsibilities

• Develop and implement multi-omics integration strategies to strengthen biological interpretation.
• Apply and advance machine learning, statistical modeling, and AI to high-dimensional data.
• Curate, QC, and integrate large-scale omics datasets for downstream readiness.
• Communicate findings to technical and non-technical audiences.

Skills

Python

R

UNIX/Linux

ML frameworks

SQL

Education

MSc or PhD in Data Science/Statistics/ML/Computational Biology/Bioinformatics

Job description

Syngenta Crop Protection seeks a Data Scientist (m/f/d) to join the Digital & Data Science Group in Biologicals Research. You will work on omics data to identify patterns in product performance and develop tools guiding selection and development of Biologicals solutions.

Responsibilities include developing integration strategies, applying ML approaches, and collaborating with R&D IT to deploy predictive model applications for stakeholders.