National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Post-Doctoral Research Associate in Crop Quantitative Genetics

National Institute of Agricultural Botany
Impington
6 months ago
Applications closed

Related Jobs

View all jobs

Postdoc / Scientific Software Developer

Post-doctoral Position in Machine Learning and Cardiology

Postdoctoral Fellow: Neurodegenerative Disease Spatial Transcriptomics and Machine Learning

Senior AI Engineer / Data Scientist

Credit - Data Scientist

Audio Machine Learning Engineer.

Post-Doctoral Research Associate in Crop Quantitative Genetics Three-year fixed term | Full or part-time ABOUT THE ROLE Shape the Future of Crop Science Are you ready to contribute to meaningful research in crop genetics and bioinformatics that supports sustainable agriculture and global food security? Join Niab as a Post-Doctoral Research Associate and play a key role in unlocking the potential of genetic variation in crops to address real-world challenges. As part of our friendly and collaborative Crop Quantitative Genetics team, you will work on pioneering projects, applying innovative techniques to analyse genetic data and reveal the underlying factors driving key crop traits. Your work will help design experiments, manage data workflows, and develop cutting-edge tools that push the boundaries of what is possible in crop science. At Niab, we prioritise teamwork, creativity, and the impact of your research, ensuring that you are supported in making a tangible difference in the field. Salary: £34,148 to £38,227 per annum, depending on experience. Contract: 3-year fixed term. Working hours: 37 hours per week, Monday-Friday; part-time considered. PROJECTS YOU WILL BE INVOLVED IN An example of the research you will work on in this position is the BBSRC funded “Ensemble Plant Populations” project (https://www.niab.com/news-views/news/news-improved-access-plant-genetic-resources-drive-crop-innovation), where in collaboration with EMBL’s European Bioinformatics Institute (EMBL-EBI), we are developing a web-tool containing existing population-based sequence and variant data, supporting users to run statistically sound genetic mapping analyses for an impressive range of populations and crop species. Additionally, there will be the chance to work on the exciting "Wheat Alliance" project, which is funded by the Novo Nordisk Foundation. This project aims to explore extended wheat gene pools, to identify the genetic control of plant-microbe interactions for improving nitrogen and phosphorus uptake in wheat. ABOUT YOU We are looking for someone who brings curiosity, collaboration, and expertise to this role. You will have: 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. Strong organisational and communication skills, with the ability to contribute to a team-oriented research environment. Additional skills that are desirable, but not essential include: Knowledge of plant breeding, crop science, or related fields. Experience with bioinformatics tools, command line systems (e.g., Unix/bash), and sequence analysis. Programming skills in Python and experience supporting or mentoring others. 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. Provide support to colleagues and students, fostering an inclusive and collaborative learning environment. ABOUT US Niab is the UK’s leading crop science organisation, combining excellence in plant genetics, agronomy, farming systems, and data science to deliver innovative solutions for sustainable agriculture. With the largest national field trials capability and strong connections to industry, government, and academia, Niab is uniquely positioned to address the biggest challenges in modern farming and food production. Headquartered in Cambridge, Niab has a national presence with regional offices and over 400 employees across the UK. Our mission is to advance the role of plant genetic resources through cutting-edge research, technical services, and world-class training. By working at the interface of academic research and commercial breeding, Niab creates opportunities for transformative collaborations that benefit the wider plant sciences sector. NIAB actively promotes equality, diversity and inclusion and encourages applications from all sections of society. As a Disability Confident Employer, we have a positive approach to employing people living with a disability. LOCATION The role is based at Niab Park Farm, Histon, Cambridge, CB24 9NZ, 4 miles from Cambridge city centre. Free on-site parking and linked by cycle ways and regular buses to Cambridge city centre and railway station. Close to Junction 32 of A14, with easy access to M11, A10 and A11. Niab’s Cambridge sites are home to state-of-the-art facilities, including: Molecular biology laboratories and advanced plant growth facilities. Extensive glasshouses and containment units for genetically modified plant trials. Over 250 hectares dedicated to commercial cropping and field trials. Our headquarters also hosts the Crop Science Centre, a pioneering collaboration with the University of Cambridge. Together, we aim to transform global agriculture by developing innovative solutions for sustainable and resilient food production. Cambridge Park Farm site:https://www.niab.com/about/locations/park-farmBENEFITS We believe in supporting our team members to thrive both personally and professionally. Benefits include: 25 days of annual leave, plus public holidays and extra leave during the festive season. Flexible working arrangements, including part-time options. Access to cutting-edge research facilities, including advanced glasshouses, containment units for genetically modified plant trials, and extensive field trial areas. Generous pension scheme, life assurance, income protection, and an employee discount programme. Enhanced sickness pay to provide security during unexpected health challenges. TO APPLY Click the ‘Apply’ button or visit our websitehttps://www.niab.com/careersfor further details and to apply directly. Any questions? Email jobsniab.com or call Human Resources on . Informal enquiries are welcome; please contact Dr Tally Wright, Group Leader in Crop Quantitative Genetics, by email: tally.wrightniab.com Dr Tally Wright, Group Leader in Crop Quantitative Genetics:https://www.niab.com/about/people/dr-tally-wrighthttps://www.cropsciencecentre.org/staff/tally-wright/Closing date: 12 January 2025. Interview date: 24 January 2025. Please note that following changes to Immigration Law in April 2024, this role does not qualify for a Skilled Worker visa sponsorship. Candidates with independently held immigration permission would be considered.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.