Plant Genotyping Lab Technician - Molecular & Data Analysis in Abingdon

Plant Genotyping Lab Technician - Molecular & Data Analysis in Abingdon

Abingdon Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
Wild Bioscience

At a Glance

  • Tasks: Support plant genotyping pipelines with hands-on lab work and data analysis.
  • Company: Wild Bioscience, a leading firm in plant science innovation.
  • Benefits: Hybrid working options, collaborative environment, and opportunities for professional growth.
  • Other info: Exciting career development opportunities in a dynamic research setting.
  • Why this job: Join a multidisciplinary team and make a real impact in plant science.
  • Qualifications: Experience in lab work and data analysis is preferred.

The predicted salary is between 30000 - 40000 Β£ per year.

Wild Bioscience in Abingdon, UK, is seeking a Scientific Technician or Research Associate to support plant genotyping pipelines across crops.

The role combines hands-on bench work with computational data analysis, and requires collaboration with a multidisciplinary team.

You will work at Milton Park in Oxfordshire on-site, with hybrid working when possible, and contribute to SOPs, data management, and process improvements.

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Plant Genotyping Lab Technician - Molecular & Data Analysis in Abingdon employer: Wild Bioscience

Wild Bioscience is an exceptional employer located in Abingdon, offering a vibrant work culture that fosters collaboration and innovation. Employees benefit from a competitive salary, equity options, and a comprehensive benefits package, alongside ample opportunities for professional growth within the field of crop genomics. Joining our dynamic team means contributing to meaningful research initiatives aimed at enhancing sustainable food production.

Wild Bioscience

Contact Details:

Wild Bioscience Recruitment Team

We think you need these skills to ace Plant Genotyping Lab Technician - Molecular & Data Analysis in Abingdon

Molecular Techniques
Data Analysis
SOP Development
Collaboration Skills
Process Improvement
Hands-on Laboratory Skills
Computational Skills