Associate Scientist - Strain Screening

At FMC, our employees are guided by our purpose: Innovation for Agriculture, Solutions for the Planet. We provide farmers innovative solutions that increase the productivity and resilience of their land. From our industry-leading pipeline to novel biologicals and precision technologies, we are passionate about the power of science to solve agriculture’s biggest challenges.

For more than a century, FMC has successfully delivered some of the of the industry's most advanced, innovative solutions that protect farmers’ crops from destructive pests and disease, while also protecting the environment. We are committed to fulfilling our mission of discovering new herbicide, insecticide and fungicide active ingredients, product formulations and pioneering technologies that are consistently better for the planet.

Position Summary
We are seeking a motivated Associate Scientist to join the Strain Development team within Plant Health Research. This role focuses on screening and evaluating microbial strains to support industrial fermentation and product development. You will play a key role in generating, analysing, and interpreting experimental data to guide strain optimisation.

Location: Hørsholm, Denmark (European Innovation Centre)

Main Responsibilities:

• Perform small-scale microbial cultivation for screening workflows.
  
  
• Execute manual and semi-automated screening experiments.
  
  
• Analyse, interpret, and visualise experimental data.
  
  
• Support strain development through collaboration with engineering colleagues.
  
  
• Document experimental work in Electronic Lab Notebooks (ELN).
  
  
• Contribute to continuous improvement of screening methods and workflows.
  
  
• Maintain laboratory equipment and ensure compliance with safety standards.
  
  

Mandatory Requirements:

• BSc or MSc in biotechnology, microbiology, or a related field, or equivalent experience.
  
  
• Practical experience with microbial cultivation and laboratory techniques.
  
  
• Ability to analyse and interpret experimental data.
  
  
• Strong attention to detail and structured working approach.
  
  
• Good communication skills and ability to collaborate across teams.
  
  
• Proficiency in English, both written and spoken.
  
  

Kilde: [xxxxx]