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- Tasks: Join a dynamic team to develop methods for gene-edited crops and analyse complex datasets.
- Company: Be part of an innovative Oxford University spin-out at the forefront of agricultural science.
- Benefits: Enjoy stock options, 25 days holiday, a £1000 annual development grant, and a pension.
- Why this job: Shape the future of crops while working in a collaborative and cutting-edge environment.
- Qualifications: PhD in Plant Biology with 3+ years of relevant experience and strong data analysis skills required.
- Other info: Opportunity to mentor colleagues and stay updated with emerging analytical tools.
The predicted salary is between 36000 - 60000 £ per year.
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 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.
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.
Research And Development Scientist - Plant Physiology employer: CT19
Contact Detail:
CT19 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research And Development Scientist - Plant Physiology
✨Tip Number 1
Network with professionals in the field of plant physiology and molecular biology. Attend relevant conferences, workshops, or seminars where you can meet potential colleagues or mentors who might provide insights into the company culture and expectations.
✨Tip Number 2
Familiarise yourself with the latest advancements in gene editing and crop performance assessment. Being able to discuss recent developments or tools during your interactions can demonstrate your passion and knowledge in the field.
✨Tip Number 3
Prepare to showcase your data analysis skills by discussing specific projects where you've successfully used statistical tools like R or Python. Be ready to explain how your findings impacted decision-making or project outcomes.
✨Tip Number 4
Highlight your collaborative experiences in multidisciplinary teams. Share examples of how you've worked with agronomists or other scientists to achieve common goals, as this role emphasises teamwork and communication.
We think you need these skills to ace Research And Development Scientist - Plant Physiology
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in plant physiology and data analysis. Emphasise any specific projects or roles that align with the job description, particularly those involving gene-edited crops or statistical analysis.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in plant biology and experience with data analysis make you a perfect fit. Mention any specific methodologies you've developed or used that relate to the position.
Showcase Your Data Skills: Since the role requires proficiency in statistical analysis and data visualisation tools, include examples of how you've used R, Python, or SAS in previous roles. Highlight any complex datasets you've worked with and the insights you derived from them.
Prepare for Interviews: If selected for an interview, be ready to discuss your research experience in detail. Prepare to explain your approach to experimental design and how you've collaborated with multidisciplinary teams. Think about how you can translate complex data insights into actionable recommendations for non-technical stakeholders.
How to prepare for a job interview at CT19
✨Showcase Your Expertise
Be prepared to discuss your PhD research and any relevant industry experience in detail. Highlight specific projects where you developed methods for assessing crop performance, especially if they involved major row crops like soy or wheat.
✨Demonstrate Data Skills
Since the role requires proficiency in statistical analysis and data visualisation tools, be ready to provide examples of how you've used R, Python, or SAS in your previous work. Consider bringing a portfolio of your analyses to showcase your skills.
✨Collaborative Mindset
Emphasise your ability to work within a multidisciplinary team. Prepare examples of past collaborations with scientists or agronomists, and how you aligned research objectives to achieve common goals.
✨Communicate Clearly
Practice explaining complex data insights in simple terms, as you'll need to present findings to non-technical stakeholders. Use clear, concise language and consider using visuals to aid your explanations during the interview.
