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- Tasks: Lead statistical analysis for crop trials and influence agricultural data science.
- Company: NIAB is a leading crop science organisation dedicated to innovation in agriculture.
- Benefits: Enjoy a senior leadership role with opportunities for professional growth and collaboration.
- Why this job: Make a real impact on agriculture while working with top industry stakeholders.
- Qualifications: Experience in statistics and data analysis, preferably in agricultural sciences.
- Other info: Position based at Park Farm, Impington; apply by 23 Feb 2025.
The predicted salary is between 43200 - 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.
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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
Familiarise 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 during interviews.
✨Tip Number 2
Network with professionals in agricultural data science and related fields. Engaging with stakeholders from organisations like APHA, Defra, and BSPB can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your leadership experience and how it has shaped your approach to statistical analysis. Highlighting specific examples of how you've influenced strategy in previous roles can set you apart.
✨Tip Number 4
Stay updated on current trends and challenges in crop science and agricultural policy. Being well-informed will allow you to engage meaningfully with interviewers and showcase your understanding of the sector.
We think you need these skills to ace Head of Statistics (Variety Evaluation) – NIAB
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of the Head of Statistics (Variety Evaluation) at NIAB. Familiarise yourself with the key stakeholders mentioned in the job description and think about how your experience aligns with their needs.
Tailor Your CV: Craft your CV to highlight relevant experience in statistical analysis, crop evaluation, and leadership roles. Use specific examples that demonstrate your ability to drive innovation and engage with stakeholders effectively.
Write a Compelling Cover Letter: In your cover letter, express your passion for agricultural data science and outline how your skills can contribute to NIAB's mission. Be sure to mention any previous collaborations with organisations like APHA or Defra, as this will show your familiarity with the sector.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that your documents are formatted professionally. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at HI HUB
✨Understand the Role and Responsibilities
Make sure you have a clear understanding of what the Head of Statistics (Variety Evaluation) entails. Familiarise yourself with NIAB's mission and how this role contributes to agricultural data science. This will help you articulate your vision and how you can shape strategy effectively.
✨Showcase Your Statistical Expertise
Prepare to discuss specific statistical methodologies you have implemented in previous roles. Be ready to provide examples of how these methods advanced crop evaluation or similar projects. This demonstrates your capability to drive innovation in the field.
✨Engage with Stakeholder Communication
Since you'll be presenting findings to various stakeholders, practice explaining complex statistical concepts in simple terms. Highlight your experience in engaging with policymakers and industry bodies, as effective communication is key in this role.
✨Demonstrate Leadership Qualities
As a senior leadership position, it's crucial to showcase your leadership skills. Prepare examples of how you've influenced teams or projects in the past, and be ready to discuss your approach to leading a team in a dynamic environment like NIAB.
