Plant Pathology Co‑Op: Data‑Driven Pathogen Analytics

Bayer

Chesterfield (MO)

On-site

USD 31,000 - 66,000

Full time

37 hours ago
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Benefits offered by this job

Health care
Vision
Dental
Retirement plan
PTO
Sick leave

Job summary

Bayer in Missouri, Chesterfield, is seeking a Plant Health Co‑Op to advance plant pathology workflows through experimental design, data analysis, and protocol development. You will work with multidisciplinary scientists to analyze plant pathogens, develop lab methods, and generate actionable insights for scalable research pipelines.

You will contribute to design, data interpretation, and communication of results to project teams, while upholding safety and compliance in a collaborative

Qualifications

  • Enrolled in an M.Sc. or Ph.D. program (Plant Pathology preferred) with molecular characterization or sequence analysis experience.
  • Experience with experimental design and statistical/data analysis using R or Python.
  • Strong communication, organization, and ability to work independently in a team.

Responsibilities

  • Perform phylogenetic analysis of pathogen collections and isolates.
  • Develop markers for detecting plant pathogens.
  • Validate characterization protocols under operational conditions.
  • Optimize processes for large-scale pathogen production and storage.
  • Synthesize and communicate results to project teams and key stakeholders.

Skills

Molecular characterization
Bioinformatics
Sequence analysis
Experimental design
R
Python
Data visualization

Education

M.Sc. or Ph.D. in Plant Pathology

Tools

Phylogenetic analysis tools
Molecular biology techniques
Statistical software

Job description

Bayer in Missouri, Chesterfield, is seeking a Plant Health Co‑Op to advance plant pathology workflows through experimental design, data analysis, and protocol development. You will work with multidisciplinary scientists to analyze plant pathogens, develop lab methods, and generate actionable insights for scalable research pipelines.

You will contribute to design, data interpretation, and communication of results to project teams, while upholding safety and compliance in a collaborative

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