Research And Development Scientist - Plant Physiology

Job Description

We are partnering with a well-funded, fast paced, agile, Oxford University spin-out working in a state-of-the-art molecular biology lab and office at the Milton Park, Oxfordshire. The client is in their next phase of growth looking for a strong individual contributor to work in a collaborative team and help them shape the future of crops. They are seeking a highly skilled and motivated Plant Physiology Scientist with a strong background in data analysis and experimental design.

• Salary: DOE + Excellent Benefits (Stock Options, 25 Days Holiday, £1000 Annual Development Grant, Pension, etc)
• Location: Milton Park, Oxfordshire

Scope of the role:

• Develop and refine methods for characterizing gene-edited crops in both controlled environments and field settings.
• Collaborate closely with scientists, agronomists, and other team members to align research objectives and provide data-driven recommendations.
• Analyze complex datasets from field trials, controlled environment systems, laboratory experiments, and additional sources to draw actionable conclusions and inform optimization efforts.
• Collect, clean, and structure complex data from multiple sources to extract meaningful insights.
• Present and report key findings in meetings and prepare written reports/slides for senior management.
• Stay up to date with emerging analytical tools and suggest improvements for data collection, management, and analysis practices.
• Train and mentor colleagues while proactively supporting the wider team as needed.

Profile requirements:

• A PhD in Plant Biology (or a related field) with at least three years of relevant industry or research experience.
• Deep understanding of plant physiology, with a focus on photosynthesis being an advantage.
• Proven track record in developing methods to assess crop performance in controlled environments, preferably with crops such as soy, wheat, maize, or other major row crops.
• Proficiency in statistical analysis and data visualization tools such as R, Python, or SAS.
• Experience in designing and analyzing field trials.
• Ability to translate complex data insights into clear, actionable recommendations for non-technical stakeholders.
• Strong ability to work independently and collaboratively within a multidisciplinary team.