Plant Pathologist

National Institute of Agricultural Botany (NIAB)
Huntingdon
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Product Manager – Smart Diagnostics & Digitalization

Product Manager – Digitalization

Product Manager – Digitalization

Commercial Director

Engineer – Weights Engineering

Exciting Opportunity: Advance Plant Science and Protect British Crops!

Are you passionate about plant health and cutting-edge research? Join Niab’s world-class Plant Pathology Team and play a key role in protecting Britain's crops from emerging diseases. This is your chance to work on pioneering research, develop new disease-resistant crops, and make a real impact in the agricultural sector.

 

About the Role

Based at Niab Park Farm in Histon, Cambridge, you’ll be at the forefront of plant pathology research, tackling major threats to crop health. You’ll apply advanced molecular techniques and field trials to assess and mitigate plant diseases, working across laboratory, growth rooms, field trials, and data analysis. This dynamic role offers variety, innovation, and impact, ensuring no two days are the same.

 

What you will be involved with:

  •  Lead Cutting-Edge Research – Contribute to breakthrough projects in plant pathology and disease resistance.
  • Molecular & Genetic Analysis – Extract and prepare high-quality genomic DNA, conduct PCR/qPCR, genotyping, and help with next-generation sequencing.
  • Pathology Trials & Data Analysis – Design and execute trials in laboratory, growth room, and field environments, assessing disease resistance in crops.
  • Equipment & Lab Management – Maintain and oversee laboratory equipment, ensuring seamless research operations.

 

Salary:from £28,000 per annum, depending on experience with paid overtime being available.

Contract:Fixed term for 3 years

Working hours:37 hours per week, Monday to Friday

 

About Niab

Niab is a pioneering crop science organisation at the forefront of innovation in plant genetics, pathology, agronomy, farming systems, and data science. With headquarters in Cambridge and regional offices across the UK, we are dedicated to transforming crop production in the arable, forage, and horticulture sectors.

 

Join our team of nearly 400 experts and play a vital role in groundbreaking scientific research that shapes the future of plant science. As an independent research organisation eligible for UKRI funding, we collaborate closely with industry, government, and academia, offering unparalleled opportunities for professional growth and impactful research.

 

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.

 

Why join us?

  • Work with Experts – Join a dynamic and passionate team of over 20 plant pathologists, PhD students, and visiting researchers.
  • World-Class Facilities – Access newly built state-of-the-art laboratories, walk-in growth rooms, and modern glasshouses.
  • Field Research – Gain hands-on experience at multiple trial sites in East Anglia.
  • Exciting & Varied Role – Work across laboratory, field, and office settings, adapting to seasonal and project needs.
  • Make a Real Impact – Contribute to groundbreaking research, shaping the future of crop protection and plant pathology.

 

What you will need to succeed

We are looking for a motivated and detail-oriented researcher with:

  • A degree in plant pathology, plant science, genetics, or molecular biology (MSc or PhD preferred but not essential).
  • Experience in DNA extraction, PCR/qPCR, and genotyping, with additional expertise in plant pathogens and microbiology.
  • Hands-on experience working with cereal and legume crops in lab, glasshouse, or field settings.
  • Strong IT and data analysis skills, alongside problem-solving abilities and a collaborative mindset.
  • A full UK driving licence (as some trial sites are inaccessible by public transport).

 

Location

You will be based at Niab Park Farm in Histon, Cambridge - a cutting-edge research facility just four miles from the city centre. The site offers:

  • Advanced research spaces – molecular biology labs, glasshouses, growth rooms, and GM containment units.
  • Excellent connectivity – Easy access via A14, M11, A10, A11, plus free on-site parking and cycling routes.
  • Public transport links – Regular buses connecting to Cambridge city centre and railway station.
  • Travel opportunities – Occasional trips to field trial sites in Cambridgeshire and Suffolk.

Cambridge Park Farm site:https://www.niab.com/about/locations/park-farm

 

Benefits

  • 25 days holiday + public holidays + 3 extra days off at Christmas.
  • Flexible working options.
  • Generous sick pay.
  • Attractive pension scheme.
  • Income protection & life assurance.
  • Employee discount scheme & cycle to work.
  • Free on-site parking.

Excited to shape the future of crop science? Apply today and be part of a team making a real-world impact!

 

Informal Enquiries

Tom Wood (Deputy Head of Plant Pathology) –

Kostya Kanyuka (Head of Plant Pathology) –

 

To apply

Click the ‘Apply’ button or visit our website:https://www.niab.com/careersfor further details and to apply directly. Any questions? Emailor call Human Resources on .Apply soon as we may shortlist prior to the closing date.

Closing date: 12 March 2025.

Interview date: within two weeks after the closing date.

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.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.