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Research Associate​/Fellow in Crop Gene Editing, University

Remote / Online - Candidates ideally in
Nottingham, Nottinghamshire, NG1, England, UK
Listing for: tabledebates
Full Time, Remote/Work from Home position
Listed on 2026-10-18
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist, Research Assistant/Associate, Biology
Salary/Wage Range or Industry Benchmark: 30000 - 42000 GBP Yearly GBP 30000.00 42000.00 YEAR
Job Description & How to Apply Below
Position: Job: Research Associate/Fellow in Crop Gene Editing, University

We are seeking a Research Associate/Fellow to join a new multi-disciplinary research team developing A Platform to Rate Organisms Bred for Improved Traits and Yield (PROBITY).

The successful candidate will work closely with Dr Stacia Stetkiewicz, Assistant Professor of Sustainable Agricultural Systems, School of Biosciences at the University of Nottingham, and project partners at the British On Farm Innovation Network (BOFIN), using social science methods to understand barriers to uptake of precision bred crops in the UK.

The role provides an exciting opportunity to work with experienced researchers and liaise with a wide range of stakeholders who are taking a leading role in shaping the future of the uptake of precision bred crops in the UK and beyond. The University of Nottingham also offers a wide range of training and opportunities to researchers at all career levels.

We are looking for a highly motivated researcher, with a strong background in social science research and a passion to make a difference for the future of sustainable agriculture.

Applicants must have (or be close to completion of) a PhD in a relevant subject area, such as Social Science, Sociology, Science and Technology Studies, or an interdisciplinary PhD with a substantial social science component, or have equivalent professional experience.

Experience with qualitative research collection and analysis techniques, including at least one of the following is essential: conducting data collection interviews, workshops, and/or textual analysis. Candidates must have knowledge or experience of applying GDPR and Responsible Research and Innovation guidelines to data collection, analysis, and dissemination. Experience with quantitative social science methods, including survey analysis, is desirable.

Social science knowledge and experience is of primary importance for this role, but knowledge or experience of working with precision breeding, agriculture, food systems, or biotechnology will be advantageous.

The role will be based at the University of Nottingham in the School of Biosciences, Sutton Bonington Campus, but will involve working with colleagues based at partner institutions across the UK.

Due to the nature of the role, hybrid and remote working for candidates based in the UK will be considered.

This post is available on a fixed term basis for 6 months, hours of work are full time (36.25 hours). Job share arrangements may be considered.

Informal enquiries may be addressed to Stacia Stetkiewicz, email stacia. Please note that applications sent directly to this email address will not be accepted.

Position Requirements
10+ Years work experience
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