At a Glance
- Tasks: Drive data-driven discovery in crop protection using advanced computational methods.
- Company: Join Syngenta, a leader in agricultural innovation with a global impact.
- Benefits: Enjoy a generous benefits package, flexible working, and up to 31.5 days holiday.
- Other info: Work in a dynamic, international environment with excellent career development opportunities.
- Why this job: Make a real difference in sustainable agriculture while collaborating with top scientists.
- Qualifications: MSc/PhD in computational biology or related field; strong Python and R skills required.
The predicted salary is between 63000 - 77000 £ per year.
Syngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow productively and sustainably. We offer a leading portfolio of crop protection solutions for plant and soil health, as well as digital solutions that transform the decision-making capabilities of farmers. Our 17,900 employees serve to advance agriculture in more than 90 countries around the world.
Drive data-driven discovery in crop protection by applying advanced computational approaches to solve complex biological challenges. In this role, you will collaborate with scientists across Crop Protection Research, developing and deploying bioinformatics tools, machine learning models, and data workflows that generate insights from diverse biological datasets—directly supporting the development of safer, more sustainable agricultural solutions.
Key Responsibilities- Develop and apply state-of-the-art computational methods to address key challenges in Crop Protection Bioscience.
- Design, test, and deploy data analysis tools, workflows, and modelling approaches using iterative, evidence-based methods.
- Communicate analytical results, insights, and recommendations clearly to both technical and non-technical audiences.
- Guide scientists on data quality, integrity, and suitability for analysis.
- Collaborate across the Bioscience Digital team and wider R&D data community to share learning and drive innovation.
- Monitor external scientific and computational developments and identify opportunities for application within Bioscience.
- MSc/PhD in computational biology, data science, natural sciences, or a related discipline, with a focus on data analysis, machine learning, or multi-omics data integration.
- Strong hands-on experience with Python and R for bioinformatics, data analysis, and visualisation.
- Confidence building, validating, and testing machine learning models.
- Experience with high-performance computing, version control systems, and reproducible digital workflows.
- Ability to work autonomously and communicate effectively with researchers across diverse scientific disciplines.
- Enthusiasm for innovation and solving complex biological problems through computational approaches.
Jealott's Hill International Research Centre UK is situated in pleasant semi-rural surroundings between Bracknell and Maidenhead and is the place of work for approximately 800 Syngenta scientists and support staff. Jealott’s Hill is one of the main global research and development sites and key activities include research into discovery of new active ingredients, new formulation technologies, product safety and technical support of our product range.
What we offer- Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance.
- Up to 31.5 days annual holiday.
- Flexible working.
- The opportunity to develop and apply your science within the chemical industry.
- The chance to work as part of a global team to address the current and future needs of the agricultural sector.
- Learning culture and wide range of training options.
Syngenta has been ranked as a top 5 employer and number 1 in agriculture by Science Journal. Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
Scientist Computational Biology in Bracknell employer: Syngenta
Syngenta is an excellent employer, offering a dynamic work environment at our Huddersfield Manufacturing Centre where innovation and collaboration thrive. With a strong emphasis on professional development, employees benefit from a diverse culture and a comprehensive benefits package that supports both personal and career growth, making it a rewarding place to advance your career in production technical support.
StudySmarter Expert Advice🤫
We think this is how you could land Scientist Computational Biology in Bracknell
✨Get Involved in Local Agricultural Communities
Join local farming cooperatives or agricultural societies in your area. By attending their meetings, you can network with industry professionals and learn about potential job openings in the agricultural sector.
✨Showcase Your Expertise at Industry Events
Keep an eye out for agricultural fairs, conferences, and exhibitions. These events are golden opportunities to meet face-to-face with hiring companies like Syngenta. Don’t forget to bring some business cards or a digital portfolio showcasing your hands-on experience in agricultural and forestry sciences.
✨Consider Certification Programs
Enrol in agricultural certification programs to stand out from the crowd. Many employers appreciate candidates who are proactive about ongoing education and relevant certifications, making you a more attractive option for a full-time role.
✨Check Out Career Pages Directly
Instead of just relying on job boards, make sure to visit the career sections of companies' websites like Syngenta. They often post openings there first. Plus, many firms prefer candidates who show an interest directly in their organisation!
We think you need these skills to ace Scientist Computational Biology in Bracknell
Some tips for your application 🫡
Show Off Your Experience with Field Work:In the agricultural and forestry sciences field, practical experience is golden. Be sure to highlight any field work, internships, or volunteer opportunities you've had that relate to this area. We want to see your hands-on skills, so don’t forget to sprinkle in any specific tasks you undertook or technologies you used in your applications for Syngenta.
Get Technical with Your Qualifications:In your CV and cover letter, dive into any relevant technical skills or certifications you've gained. If you've got knowledge in areas like soil science, pest management, or environmental conservation, flaunt it! Listing out specific qualifications and how they tie into the role can really set you apart from the rest when applying for Scientist Computational Biology at Syngenta.
Tailor Your Personal Statement:Your personal statement or cover letter should reflect your passion for the agricultural and forestry sciences. Talk about why you're excited about the role and how you envision contributing to Syngenta. This is your chance to showcase your motivation and cultural fit, so keep it engaging and genuine!
Keep It Professional Yet Approachable:While we love to see your personality shine through in applications, remember to maintain a level of professionalism in your writing. Use clear and concise language, and make sure your application materials for Scientist Computational Biology at Syngenta are free from jargon unless necessary. This will help the hiring team easily understand your qualifications and enthusiasm.
How to prepare for a job interview at Syngenta
✨Know Your Crops!
Make sure you brush up on the specific crops, soils, and pest management strategies relevant to the role in agricultural sciences at Syngenta. Be prepared to discuss your practical experiences with eco-friendly farming techniques, as this will demonstrate your commitment to sustainable practices – something that’s becoming increasingly important in our field.
✨Showcase Your Field Work
Since this is a full-time role, it’s vital to bring along your portfolio showcasing any projects or research you've conducted. Talk about your hands-on experience in the field, whether it’s data collection, experimentation, or working with farmers. This not only illustrates your knowledge but also your willingness to get your hands dirty!
✨Embrace Tech in Agriculture
The agricultural sector is rapidly embracing technology, so don’t shy away from discussing tools like GIS, remote sensing, or precision agriculture software you’ve used. Highlighting your tech-savviness can set you apart, especially at a forward-thinking company like Syngenta.
✨Passion for Sustainability
Full-time roles demand a genuine passion for what you do, especially in agriculture where sustainability is key. Be ready to share your ideas on how to improve agricultural practices, reduce environmental impact, and contribute to food security. Showing your long-term vision for the industry can really impress the interviewers at Syngenta.