Crop Genetics Research Scientist

3 weeks ago


Cambridge, Cambridgeshire, United Kingdom National Institute of Agricultural Botany (NIAB) Full time

About Us

National Institute of Agricultural Botany (NIAB) is the UK's leading crop science organisation, combining excellence in plant genetics, agronomy, and data science to deliver innovative solutions for sustainable agriculture.

We are seeking a highly skilled Post-Doctoral Research Associate to join our Crop Quantitative Genetics team. The successful candidate will contribute to pioneering projects applying innovative techniques to analyse genetic data and reveal the underlying factors driving key crop traits.

The role involves designing genomic analysis pipelines for genetic mapping and data quality control using R software, analysing large-scale genetic and sequence datasets, contributing to experimental design, and delivering high-quality research outcomes through clear reports, publications, and presentations.

This position offers an excellent opportunity to work on cutting-edge research and develop your skills in genetic mapping, statistical genetics, and bioinformatics. We prioritise teamwork, creativity, and the impact of your research, ensuring that you are supported in making a tangible difference in the field.

Key Responsibilities:

  • Design and manage genomic analysis pipelines for genetic mapping and data quality control using R software.
  • Analyse large-scale genetic and sequence datasets using bioinformatics and high-performance computing systems.
  • Contribute to experimental design, ensuring robust approaches to studying complex crop traits.
  • Deliver high-quality research outcomes through clear reports, publications, and presentations.

Required Skills and Qualifications:

  • A relevant BSc or equivalent qualification and a PhD in quantitative genetics, bioinformatics, plant biology, or a related field.
  • Advanced skills in genetic mapping and statistical genetics (e.g., GWAS).
  • Proficiency in R software and a detail-oriented approach to managing large datasets.

Benefits:

  • $41,500 - $46,000 per annum, depending on experience.
  • Flexible working arrangements, including part-time options.
  • Access to cutting-edge research facilities, including advanced glasshouses and extensive field trial areas.
  • Generous pension scheme, life assurance, income protection, and an employee discount programme.


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