At a Glance
- Tasks: Drive R&D initiatives by analysing datasets and designing experiments for new yield traits.
- Company: Join Wild Bioscience Ltd, a pioneering company in plant science innovation.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact in photosynthesis research and contribute to groundbreaking discoveries.
- Qualifications: PhD in relevant field and experience in complex scientific research projects.
The predicted salary is between 54000 - 66000 £ per year.
The role
We are looking for a motivated and skilled Trait Design Scientist, ideally with a background in photosynthesis research, to drive our R&D initiatives.
At Wild, we are building proprietary and “new-to-science” datasets that we use to discover new yield traits.
You will play a key role in analysing these datasets and driving the future direction of data collection to accelerate this discovery work.
Location
We’re headquartered in Milton Park, a business and technology park in Oxfordshire. This is an on-site role, though we offer flexibility and hybrid working when possible.
- Job requirements
- A Ph D in a relevant discipline, e. g. Plant Science, Photosynthesis, Plant Physiology, Bioinformatics.
- Proven experience delivering complex scientific research projects and driving their strategic direction.
- Deep theoretical and practical understanding of photosynthesis; you are comfortable interpreting complex physiological data to generate biological hypotheses.
- Experience using gas exchange and chlorophyll fluorescence systems (e. g.
LICORs, Walz), and/or other photosynthetic mechanistic studies used to dissect photosynthetic performance.
- A strong understanding of the genetic mechanisms that govern plant phenotypes and the factors that influence gene expression.
- Familiarity with Linux, bioinformatic tools, and the application of machine learning to genomic/phenotype data is highly desirable.
- A growth-oriented mindset focused on continuous improvement – evaluating new tools and sparking innovation within the team.
- Ability to distil complex data into clear hypothesis and lead collaborative decision-making sessions.
- Job responsibilities
- Lead the design and management of experiments to collect bespoke physiology and genetic datasets across diverse species.
- Establish robust phenotyping methods and train junior team members to ensure high-quality data collection at scale.
- Utilise machine learning and bioinformatic tools to mine proprietary datasets, identifying causal genetics behind key photosynthesis traits.
- Critically evaluate machine learning / AI outputs by integrating photosynthesis expertise with literature reviews and data from our proprietary evolutionary and cell-based platform.
- Lead trait design sessions, collaborating with other photosynthesis experts, construct engineers, and bioinformaticians to inform phase promotion decisions.
- Iteratively improve data collection protocols based on the latest photosynthesis research.
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Trait Design Scientist Wild Bioscience Ltd – Design Team employer: European Plant Science Organisation
At Wild Bioscience Ltd, we pride ourselves on fostering a collaborative and innovative work environment where scientific curiosity thrives. Located in the vibrant Milton Park, Oxfordshire, our team enjoys the benefits of flexible working arrangements while being at the forefront of groundbreaking research in photosynthesis. We are committed to employee growth, offering opportunities for professional development and the chance to contribute to pioneering projects that have a meaningful impact on agriculture and sustainability.
Contact Details:
European Plant Science Organisation Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Trait Design Scientist Wild Bioscience Ltd – Design Team
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We think you need these skills to ace Trait Design Scientist Wild Bioscience Ltd – Design Team
Some tips for your application 🫡
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How to prepare for a job interview at European Plant Science Organisation
✨Brush Up on Lab Techniques
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