Data Scientist Biologicals Research

Syngenta Group

St. Johann, Basel, Switzerland
Not specified; competitive pension fund plan; attr...
On-site
Machine learning and multi-omics data integration
Hands-on experience with plant or microbial omics datasets
Proficiency in python and/or r programming languages
Syngenta Group is seeking a Data Scientist specializing in biologicals research to leverage machine learning and multi-omics data integration to enhance crop protection technologies. The ideal candidate will possess a strong background in data science, experience with biological datasets, and a passion for innovation in agricultural solutions

Job Summary

  • The role involves applying machine learning and statistical modeling to extract insights from complex multi-omics datasets to guide the development of novel biological solutions.
  • Candidates will work within a stimulating international environment at Syngenta Crop Protection, contributing to global food security through innovative crop protection technologies.
  • The position offers competitive benefits including flexible working, an attractive bonus system, onsite medical services, and extensive training opportunities.

Matching Summary

Match Score: 85

Syngenta Group is seeking a Data Scientist specializing in biologicals research to leverage machine learning and multi-omics data integration to enhance crop protection technologies. The ideal candidate will possess a strong background in data science, experience with biological datasets, and a passion for innovation in agricultural solutions.

Salary

Not specified; Competitive pension fund plan; Attractive bonus system

Skills & Requirements

Must-have

  • Machine learning and multi-omics data integration
  • Hands-on experience with plant or microbial omics datasets
  • Proficiency in Python and/or R programming languages
  • Experience with UNIX/Linux environments and ML frameworks
  • Ability to handle large-scale high-dimensional datasets

Nice-to-have

  • Dynamic personality with passion for innovation
  • Strong communication skills for technical and non-technical audiences
  • Collaborative approach to driving digital innovation
  • Interest in sustainable agriculture and food security

Key Requirements

  • MSc or PhD in Data Science, Statistics, Computational Biology, or related field
  • 3+ years of experience applying ML to complex biological or agricultural datasets
  • Background in natural sciences such as chemical biology, microbiology, or ecology

Work Rights

Not specified

Tailored Resume

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