At a Glance
- Tasks: Build and apply mathematical models to predict chemical behaviour in biological systems.
- Company: Join Syngenta, a leader in agricultural innovation with a global impact.
- Benefits: Generous pension, bonus scheme, private medical insurance, and up to 31.5 days holiday.
- Other info: Dynamic campus environment with extensive training and growth opportunities.
- Why this job: Make a real difference in agriculture while working with cutting-edge science.
- Qualifications: PhD in a mathematical field, experience in mechanistic modelling, and programming skills.
The predicted salary is between 50000 - 70000 € per year.
Syngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow healthy and nutritious food while taking care of the planet. 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. Syngenta Crop Protection is headquartered in Basel, Switzerland, and is part of the Syngenta Group.
Syngenta's Predictive Science team is looking for a Mechanistic Modeller to join our Product Safety function. Within this role you will build and apply mathematical models that predict how our compounds behave in biological systems to meet society’s needs. You will coordinate and contribute to the building of mechanistic models to aid understanding and predict chemical effects in various systems (e.g. human, mammalian, environmental and/or non-target organisms) from which critical endpoints relevant for Product Safety in agrochemical research are derived. You will work at the frontier of computational science, translating complex toxicological and environmental challenges into actionable insights for cross‑functional research teams.
Key responsibilities will include:
- Liaising with project teams to understand data and modelling requirements and formulate problems in modelling terms.
- Coordinating and contributing to the design and development of mechanistic models, including pharmacokinetic and physiologically based kinetic (PBK) models, to evaluate chemical risk in mammalian and environmental systems.
- Managing and interpreting model outputs including specification, conduct, problem solving, reporting and interpretation for deployment to end users.
- Communicating model development, use, and limitations clearly to a wide and varied community of end users.
- Supporting the deployment of models for routine use.
- Seeking out latest developments in mathematical modelling and in consultation with senior technical experts assessing their potential use to support crop protection research.
- Building and maintaining scientific networks both internally and externally, delivering impactful presentations and collaborating across research teams to ensure the right modelling capability and long‑term strategy.
What we are looking for:
- Educated to PhD in a subject with a high mathematical content, ideally applied to a biological challenge.
- Demonstrated experience in mechanistic modelling particularly in the area of pharmacokinetics and/or physiologically based kinetic modelling.
- Proficiency with analytical and numerical methods to solve ordinary differential equations and the application of relevant software (e.g. Python and/or Matlab).
- Experience with modelling software and programming languages.
- Expert knowledge of mathematics, mechanistic modelling methodologies and data sources.
- Ability to translate complex problems into fit‑for‑purpose models to address them and communicate complex modelling concepts and results effectively to researchers from diverse backgrounds.
- Demonstrated ability to lead capability development activities and to deliver technical leadership.
Location: 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.
Benefits:
- Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance.
- Up to 31.5 days annual holiday.
- Campus environment.
- We offer a position which contributes to valuable and impactful work in a stimulating and international environment.
- The chance to work with and learn from highly qualified and experienced employees.
- A vibrant growth and learning culture and wide range of training options.
Equal Opportunity Employer: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, colour, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
Mechanistic Modeller in Bracknell employer: Syngenta
Syngenta Crop Protection is an exceptional employer, offering a vibrant work culture at the Jealott's Hill International Research Centre, where innovation thrives in a semi-rural setting. Employees benefit from a comprehensive package that includes generous holidays, a robust pension scheme, and opportunities for professional growth through training and collaboration with leading experts in agricultural science. Join us to contribute to meaningful advancements in crop protection while enjoying a supportive and inclusive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Mechanistic Modeller in Bracknell
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Syngenta through LinkedIn. A friendly chat can give us insider info on the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your modelling skills. Be ready to discuss your experience with pharmacokinetics and how you’ve tackled complex problems in the past. We want to see your thought process!
✨Tip Number 3
Showcase your passion for agricultural innovation! During interviews, share why you’re excited about using mechanistic modelling to solve real-world challenges in crop protection. Let’s make that enthusiasm shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the extra step to engage directly with us.
We think you need these skills to ace Mechanistic Modeller in Bracknell
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Mechanistic Modeller role. Highlight your experience in mechanistic modelling and any relevant software skills, like Python or Matlab. We want to see how your background fits with what we do at Syngenta!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about agricultural innovation and how your skills can contribute to our mission. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention specific examples where you've tackled complex problems using mathematical models. We’re looking for candidates who can translate challenges into actionable insights, so let us know how you’ve done this before!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Syngenta
✨Know Your Models Inside Out
Make sure you’re well-versed in the mechanistic modelling techniques relevant to the role. Brush up on pharmacokinetics and physiologically based kinetic models, and be ready to discuss how you've applied these in past projects.
✨Communicate Clearly
Since you'll need to explain complex modelling concepts to a diverse audience, practice articulating your ideas simply and effectively. Use examples from your experience to illustrate your points and show how you can bridge the gap between technical details and practical applications.
✨Stay Updated on Trends
Research the latest developments in mathematical modelling and be prepared to discuss how they could apply to Syngenta's work. Showing that you’re proactive about learning will demonstrate your commitment to the field and your potential contributions to the team.
✨Network Like a Pro
Highlight any scientific networks you’ve built, both internally and externally. Be ready to share how these connections have helped you in your work and how you plan to leverage them at Syngenta to enhance collaboration and innovation.