Bioinformatician

At Syngenta our goal is to build the most collaborative and trustworthy team in agriculture providing top-quality seeds and innovative crop protection solutions that improve farmers success. To support this mission Syngentas Digital & Data Science Group in Biologicals Research is seeking a Bioinformatician in St. Johann Basel (Switzerland) or Jealotts Hill (UK). This role will support the delivery of omics data to turn microbes and associated natural products into biological agents. You will be asked to analyze and interpret the outcome of scientific experiments with your bioinformatics skills and guide selection optimization and development of novel biological solutions.
Biologicals research discovers characterizes optimizes and produces novel biologicals derived from naturenaturally occurring microbes extracts or molecules that protect plants from pests and diseases or improve plant and soil this role you will work with Syngenta.
 

• Learn and understand the Biologicals data landscape key data attributes and experimental capabilities to identify opportunities for enabling and enhancing science through the deployment of bioinformatics and multi-omics approaches.
• Lead exploration prototyping and design of advanced bioinformatics pipelines; streamline and optimize assembly and annotation workflows including visualizations.
• Perform complex and in-depth analysis of microbial and multi-omics datasets.
• Guide and support discovery teams in identifying high-potential microbial candidates functions and Mode of Actions (MoA).
• Curate large-scale omics datasets for biomarker MoA and trait discovery.
• Work collaboratively to deliver and deploy new approaches share learning and drive innovation in digital and data science including technology foresight.
• Support business users with change management initiatives to manage data more effectively.
• Set technical direction provide mentorship and ensure scientific rigor and reproducibility across microbial bioinformatics.

Qualifications :

Required Qualifications:

• MSc or PhD with extensive experience in Bioinformatics Computational Biology Microbiology Genomics Natural Products Biochemistry or related fields.
• 3 years of hands-on experience analyzing microbial and multi-omics datasets (academic or industry).
• Strong expertise in microbial genomics metagenomics pangenomics functional annotation and metabolic pathway analysis identification and characterization of biosynthetic gene clusters phylogenomics and microbial taxonomy genome assembly binning and quality assessment.
• Strong programming skills in Python and/or R and experience working in Linux environments.
• Experience building automated workflows (Nextflow or similar) and using agentic AI.

Desired Qualifications: 

• Familiarity with multi-omics integration cheminformatics and downstream machine learning applications.
• Demonstrated ability to work effectively in a fast-paced innovative environment with strong problem-solving capabilities.
• Experience collaborating across multidisciplinary teams to deliver scientific solutions.

Additional Information :

Jealotts Hill International Research Centre UK is situated in pleasant semi-rural surroundings between Bracknell and Maidenhead and is the place of work for approximately 800 Syngenta scientists and support staff.  Jealotts Hill is one of the main global research and development sites and key activities include research into discovery of new active ingredients new formulation technologies product safety and technical support of our product range.

What We Offer:
A culture that celebrates diversity & inclusion promotes professional development and strives for a work-life balance that supports the team members.
Extensive benefits package including a generous pension scheme bonus scheme private medical & life insurance.
Up to 31.5 days annual holiday plus 8 UK bank holidays.
36-hour working week.
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. 
#LI-Hybrid

Remote Work :

No

Employment Type :

Full-time