Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead statistical analysis for crop trials and ensure data integrity.
- Company: NIAB is a leading crop science organization focused on agricultural innovation.
- Benefits: Enjoy a senior leadership role with opportunities for professional growth and collaboration.
- Why this job: Shape the future of agricultural data science while making a real impact in the industry.
- Qualifications: Experience in statistics and data analysis, with strong leadership skills required.
- Other info: Join us at our Park Farm location in Impington and collaborate with major stakeholders.
The predicted salary is between 48000 - 72000 £ per year.
Head of Statistics (Variety Evaluation) – NIAB
NIAB, a crop science organisation, is looking for this role based at their Park Farm location in Impington.
The Head of Statistics (Variety Evaluation) is a senior leadership position that ensures the integrity and excellence of crop trial data analysis—informing key statutory contracts and commercial projects. You’ll work with APHA, Defra, BSPB, and other major stakeholders to deliver cutting-edge statistical evaluations.
Key Responsibilities:
- Shape Strategy: Play a vital role in NIAB’s leadership, influencing the future of agricultural data science.
- Drive Innovation: Implement the latest statistical methodologies to advance crop evaluation.
- Engage with Stakeholders: Present findings and insights to policymakers, industry bodies, and researchers.
Apply by 23 Feb 2025.
#J-18808-Ljbffr
Head of Statistics (Variety Evaluation) – NIAB employer: HI HUB
Contact Detail:
HI HUB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Statistics (Variety Evaluation) – NIAB
✨Tip Number 1
Familiarize yourself with the latest statistical methodologies relevant to crop evaluation. This will not only enhance your knowledge but also demonstrate your commitment to innovation in the field.
✨Tip Number 2
Network with professionals in agricultural data science and related fields. Engaging with stakeholders from organizations like APHA, Defra, and BSPB can provide valuable insights and potentially open doors for collaboration.
✨Tip Number 3
Stay updated on current trends and challenges in crop science and statistics. Being well-informed will help you present relevant findings and insights effectively to policymakers and industry bodies.
✨Tip Number 4
Prepare to discuss your leadership experience and how you've influenced strategy in previous roles. Highlighting your ability to shape the future of agricultural data science will be crucial in this senior position.
We think you need these skills to ace Head of Statistics (Variety Evaluation) – NIAB
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly understand the responsibilities and expectations of the Head of Statistics position. Familiarize yourself with NIAB's mission and how this role contributes to agricultural data science.
Highlight Relevant Experience: In your application, emphasize your experience in statistical analysis, particularly in crop evaluation or related fields. Provide specific examples of how you've implemented innovative methodologies in past roles.
Engage with Stakeholders: Demonstrate your ability to communicate complex statistical findings to various stakeholders. Include examples of presentations or reports you've delivered to policymakers or industry bodies.
Tailor Your Application: Customize your CV and cover letter to reflect the key responsibilities outlined in the job description. Use relevant terminology and show how your skills align with NIAB's goals.
How to prepare for a job interview at HI HUB
✨Understand the Role and Responsibilities
Make sure you have a clear understanding of the key responsibilities of the Head of Statistics position. Familiarize yourself with crop trial data analysis and how it impacts statutory contracts and commercial projects.
✨Showcase Your Statistical Expertise
Be prepared to discuss your experience with various statistical methodologies. Highlight any innovative approaches you've implemented in previous roles that could benefit NIAB's crop evaluation processes.
✨Engage with Stakeholder Communication
Since you'll be presenting findings to policymakers and industry bodies, practice articulating complex statistical concepts in a clear and engaging manner. Think about examples where you've successfully communicated insights to diverse audiences.
✨Demonstrate Leadership and Strategic Thinking
As a senior leader, it's crucial to showcase your ability to shape strategy and influence the future of agricultural data science. Prepare examples of how you've led teams or projects that drove significant change or innovation.
