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Junior Scientist - Plant Pathology

Job Id:  358

North Carolina, United States

Department:  Global New Agtech
Function:  Regulatory, Research & Development
Employee Type:  Permanent Full Time
Seniority Level: 

To support the Global Head of Plant Pathology Research in the planning and day to day management of their research programs conducted in the glasshouse and growth chambers.  


  • Help plan and carry out efficient Plant Pathology studies, experiments and routine processes that maximize work-flow.
  • Maintain seamless operation of the laboratory and associated equipment.
  • Maximize output of greenhouse by careful day to day planning of tasks required to progress and complete studies including preparation for data analysis and review.
  • Provide support to the Global Research Lead for Plant Pathology by taking responsibility for the day to day operations and maintenance of the dedicated laboratory.
  • Work closely with glasshouse manager and team of greenhouse technicians to plan and carry out research experiments, studies and trials in the greenhouse.
  • Work both alone and with teams to achieve collective objectives of the Team.


Minimum Qualifications

  • 1 year of experience maintaining fungal collections and practical experimentation with Crop Protection Chemicals
  • Bachelor of Science from an accredited college or university, preferably in Agricultural, Crop Science or Microbiology discipline
  • Ability to work in the United States on an on-going basis without company sponsorship


Preferred Qualifications

  • Record of growing, maintaining, infecting plants with disease and re-isolating causal organisms in both greenhouses and growth chambers
  • Experience of working in a chemical discovery program for crop protection products
  • Ability to performing detailed assessment on crop phenotype to the highest of standards. 
  • Experience with specialty crops desired
  • Strong observational skills
  • Diligence in record keeping and data reporting
  • Understanding of the application of rudimentary descriptive statistics to experimental data