NIAB - National Institute of Agricultural Botany

Vacancy information

Senior Research Scientist

Reference number: SV/A999
Closing date: 04/07/2018
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Job details

A position is available for an enthusiastic and talented genetic data analyst to work on crop genetics research projects at NIAB, Cambridge, UK. NIAB is the UK’s fastest growing crop science organisation, with rapidly expanding research capabilities in plant genetics, agronomy, farming systems and data science, the largest national field trials capability, and strong research links with industry, government and academia. The NIAB Genetics and Breeding team carries out leading-edge crop genetics research, with direct translation to plant breeding programmes in the UK and elsewhere. Ongoing projects generate large genetic data sets for gene discovery (e.g. QTL mapping, especially in multi-founder (“MAGIC”) populations, GWAS), screening of genetic resources, crop genomics, and genomic selection. The successful applicant will play a leading role in the curation, analysis and interpretation of these data, including data QC, model fitting, statistical analysis and development of novel analysis pipelines, as well as dissemination and publication of results. Initially, the successful applicant will largely work on genetic mapping and QTL mapping projects involving NIAB’s wheat MAGIC populations. The successful candidate will also have the opportunity to provide wider data analysis support across NIAB, including in the design of experiments. Opportunities will be available to develop and grow research interests within the overall NIAB genetics and breeding research portfolio. This is a permanent post and we are seeking a researcher with a background in quantitative genetics or statistics and an interest in agriculture and plant breeding.

The successful applicant should have a PhD in quantitative genetics, plant genetics, or a related subject area, and be experienced in genetic data analysis, particularly genetic mapping and QTL mapping, as well as the use of statistical software, preferably R. A good understanding of experimental design is also critical. Some basic bioinformatics experience and/or programming skills (e.g. Python) are desirable, together with a good scientific publication and presentation record. Some knowledge of plant breeding and crop science would also be beneficial. A proven ability to work independently and as part of a team are both essential, as are good communication skills. The post will require travel within the UK and internationally.

Starting salary is in the range of £30,084 to £34,316 pa depending on qualifications, skills and experience. Further details and an application form are available at: or from the HR Office, NIAB, Huntingdon Road, Cambridge CB3 0LE, Tel No. 01223 342282, Email:, quoting Ref No. SV/A999. Closing date for applications: 4 July 2018

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