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- Tasks: Lead statistical analysis to evaluate agricultural varieties and influence global agricultural practices.
- Company: Niab is a pioneering organization at the forefront of agricultural science and innovation.
- Benefits: Enjoy a competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact on agriculture while working in a dynamic and innovative environment.
- Qualifications: Expertise in statistical analysis and a passion for agricultural challenges are essential.
- Other info: This role offers a unique chance to shape the future of agriculture through data-driven decisions.
The predicted salary is between 43200 - 72000 £ per year.
Ready to Shape the Future of Agriculture? Lead With Data. Influence Globally.At Niab, we are offering a career-defining opportunity to take the reins as Head of Statistics (Variety Evaluation)
a critical role at the intersection of agricultural science, policy, and innovation. If youre an expert in statistical analysis with a passion for applying data to real-world agricultural challenges, this is your chance to lead, influence, and drive impact on both a national and international scale.ABOUT THE JOBWhy this role?Influence Policy & Practice
Your work will directly shape government and industry decision-making in the UK and beyond.Lead a Skilled Team
Manage a small, highly capable statistics team, driving excellence in crop variety testing.Make an Impact
Play a pivotal role in tackling global issues like food security, climate change, and sustainable agriculture.Be the Expert
Represent Niab in national and international forums, engaging with policymakers, researchers, and industry leaders.This is a senior leadership position that ensures the integrity and excellence of crop trial data analysis
informing key statutory contracts and commercial projects. Youll work with APHA, Defra, BSPB, and other major stakeholders to deliver cutting-edge statistical evaluations.As part of this role, you will:Drive Innovation
Implement the latest statistical methodologies to advance crop evaluation.Engage with Stakeholders
Present findings and insights to policymakers, industry bodies, and researchers.Shape Strategy
Play a vital role in Niabs leadership, influencing the future of agricultural data science.This position has opened due to the planned retirement of the current postholder, and a structured handover will ensure you transition seamlessly into the role with full support and mentorship.LocationThe role is based at NIAB Park Farm, Histon, Cambridge CB24 9NZ, 4 miles from Cambridge city centre. Free on-site parking and linked by cycleways and regular buses to Cambridge city centre and railway station. Close to Junction 32 of A14, with easy access to M11, A10 and A11.ABOUT YOUEssential requirements:Degree in statistics or similar analytical background.Competent and confident use of Microsoft Office, including SharePoint.Competent in data management and analysis with statistical software: GenStat and R.Excellent organisation skills.Excellent verbal and written communication skills.Experience working in practical data analysis for academia or industry.Desirable requirements:Postgraduate qualification in applied statistics or with a similar analytical background.Knowledge of agricultural crops and plant testing systems within the UK.Experience of data analysis from field experimentation or environmental monitoring.Driving licence or access or independent means of transport to facilitate occasional travel to Niab or customer sites within Great Britain.ABOUT USNiab is a leading crop science organisation with research capabilities in plant genetics, agronomy, farming systems and data science. It has the largest national field trials capability and strong research links with industry, government and academia. With headquarters in Cambridge and regional offices across the country, employing close to 400 people across the UK, Niab provides scientific research, technical services and practical advice to improve the yield, efficiency and resilience of crop production across the arable, forage and horticulture sectors. Niab is an Independent Research Organisation eligible for competitive UKRI funding calls. Research departments at Niabs sites in Cambridge and East Malling have a large programme of BBSRC grants.WHY JOIN USWhen you join Niab, you become part of a collaborative, inclusive, and supportive environment that values diversity and empowers everyone to succeed. With over 400 dedicated staff nationwide, we provide opportunities for professional growth and a chance to make a meaningful impact in the future of agriculture.We offer a competitive salary, paid overtime during peak seasons, and a comprehensive benefits package that includes:25 days holiday, plus public holidays and 3 extra days over Christmas.Flexible working.Generous pension scheme and sick pay.Life assurance, income protection, and employee discounts.Free on-site parking.Great colleagues.Niab actively promotes equality, diversity and inclusion and encourages applications from all sections of society. As a Disability Confident Employer, we are committed to equality, diversity, and inclusion and welcome applications from all sections of society.TO APPLYReady to take the next step? Apply now and become a driving force in the future of agricultural data science.For further details and to apply, please visit our website via the Apply button.Join us at Niab and shape the future of agriculture through innovative plant science!Closing date: 5 March 2025.Interview date: 28 March 2025 (online).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.
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Head of Statistics (Variety Evaluation) employer: NIAB
Contact Detail:
NIAB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Statistics (Variety Evaluation)
✨Tip Number 1
Network with professionals in the agricultural science and statistics fields. Attend industry conferences or webinars to connect with potential colleagues and learn about the latest trends in variety evaluation.
✨Tip Number 2
Showcase your expertise in statistical analysis by engaging in relevant online communities or forums. Share your insights and contribute to discussions to establish yourself as a thought leader in the field.
✨Tip Number 3
Stay updated on the latest agricultural policies and innovations. Understanding the broader context of your work will help you demonstrate your ability to influence decisions at a global level.
✨Tip Number 4
Prepare for interviews by practicing how to communicate complex statistical concepts in simple terms. Being able to explain your work clearly will show your leadership potential and ability to collaborate across disciplines.
We think you need these skills to ace Head of Statistics (Variety Evaluation)
Some tips for your application 🫡
Understand the Role: Dive deep into the job description for the Head of Statistics (Variety Evaluation) position. Make sure you understand the key responsibilities and required skills, especially in statistical analysis and agricultural science.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in statistical analysis and any relevant projects or roles that demonstrate your ability to tackle agricultural challenges with data.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for agriculture and data-driven decision-making. Show how your expertise aligns with Niab's mission.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no typos or grammatical errors, as attention to detail is crucial in a role focused on data accuracy.
How to prepare for a job interview at NIAB
✨Showcase Your Statistical Expertise
Be prepared to discuss your experience with statistical analysis in detail. Highlight specific projects where you've applied statistical methods to solve agricultural problems, and be ready to explain your thought process and the impact of your work.
✨Connect Data to Real-World Applications
Demonstrate how your data-driven insights have influenced agricultural practices or policies. Use examples that illustrate your ability to translate complex data into actionable strategies that can benefit the industry.
✨Stay Updated on Agricultural Trends
Research current trends and challenges in agriculture, especially those related to variety evaluation. Showing that you are informed about the latest developments will reflect your commitment to the field and your readiness to lead.
✨Prepare Thoughtful Questions
Think of insightful questions to ask during the interview. This could include inquiries about the company's approach to innovation in agriculture or how they envision the role of statistics evolving in their operations. It shows your genuine interest in the position and the organization.
