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- Tasks: Analyse biological data to identify patterns and develop innovative solutions.
- Company: Join Syngenta, a leader in sustainable agriculture and crop protection.
- Benefits: Enjoy a competitive salary, generous holiday, and extensive benefits package.
- Why this job: Make a real impact on global food security through cutting-edge data science.
- Qualifications: MSc or PhD in relevant fields with experience in machine learning and biological datasets.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
At Syngenta Crop Protection, we are pioneering solutions that safeguard global food security while championing sustainable agriculture. We unite advanced science with digital solutions to develop intelligent crop protection that maximizes yields while minimizing environmental impact. Join our mission of revolutionizing plant protection from seed to harvest.
To support this mission, Syngenta’s Digital & Data Science Group in Biologicals Research is seeking a Data Scientist Biologicals Research in St. Johann – Basel (Switzerland) or Jealott’s Hill (UK). This role will support the delivery of omics, phenotypic, and environmental data to identify patterns in product performance and make predictions. You will analyze and interpret scientific experiments using analytical skills and machine learning approaches, guiding the selection, optimization, and development of novel biological solutions.
Responsibilities:- Learn and understand the Biologicals data landscape, key data attributes, and experimental capabilities to identify opportunities for enabling and enhancing science through the deployment of analytical methods and multi-omics approaches.
- Evaluate and develop new data analysis tools, validate findings using a trial and iterative approach, and effectively communicate findings to technical and non-technical audiences.
- C curate large-scale omics datasets for biomarker, mode of action, and trait discovery, while identifying data needs and providing recommendations to scientists to ensure data quantity and integrity for analyses.
- Shape Biologicals data analysis strategy and work collaboratively to deliver and deploy new approaches, share learning, and drive innovation in digital and data science including technology foresight.
- Work with R&D IT and software developers to improve predictive model deployment applications tailored to stakeholder needs, and support business users with change management initiatives to manage data more effectively.
- MSc or PhD in Data Science, Statistics, Machine Learning, Computational Biology, Bioinformatics, or related field with experience in natural sciences (e.g., chemical biology, ecology, environmental sciences).
- 3+ years of experience applying machine learning to complex biological, biochemical, environmental, or agricultural datasets.
- Strong understanding of experimentally derived biological data, data types, and appropriate analysis methods, including multivariate statistics.
- Strong proficiency in Python and/or R, UNIX/Linux environments, and ML frameworks.
- Proven ability to handle large datasets and use data analysis packages for omics data analysis and data visualization.
- Demonstrated ability to inspire and collaborate with others to achieve excellence in scientific work.
- Strong passion for innovation and problem-solving with the ability to work effectively in a dynamic, fast-paced environment.
- Experience working cross-functionally with IT, software developers, and business stakeholders to deploy data science solutions.
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:- A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members.
- Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance.
- Up to 31.5 days annual holiday plus 8 UK bank holidays.
- 36-hour working week.
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.
Data Scientist Biologicals Research in Bracknell employer: Syngenta
Contact Detail:
Syngenta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Biologicals Research in Bracknell
✨Tip Number 1
Network like a pro! Reach out to current employees at Syngenta on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing a role in the Digital & Data Science Group.
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning skills and understanding of biological data. Be ready to discuss how you've applied these in past projects, as this will show you're the right fit for the Data Scientist role.
✨Tip Number 3
Showcase your passion for innovation! During interviews, share examples of how you've tackled complex problems in data science. This will highlight your problem-solving skills and enthusiasm for the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Syngenta team.
We think you need these skills to ace Data Scientist Biologicals Research in Bracknell
Some tips for your application 🫡
Know Your Stuff: Before you start writing, make sure you understand the role and the company. Dive into the job description and highlight the key skills and experiences they’re looking for. This will help us tailor your application to show that you’re the perfect fit!
Show Off Your Skills: When detailing your experience, focus on specific projects or achievements that relate to data science and biological research. Use numbers and examples to illustrate your impact. We want to see how you’ve used your skills in real-world situations!
Be Clear and Concise: Keep your application straightforward and to the point. Avoid jargon unless it’s relevant to the role. We appreciate clarity, so make sure your writing is easy to read and flows well. This shows us you can communicate effectively with both technical and non-technical audiences.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to showcase your enthusiasm for joining our team at Syngenta!
How to prepare for a job interview at Syngenta
✨Know Your Data Inside Out
Before the interview, dive deep into the Biologicals data landscape. Familiarise yourself with key data attributes and experimental capabilities. This will not only help you answer questions confidently but also show your genuine interest in the role.
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've applied machine learning to complex datasets. Highlight your experience with Python or R, and be ready to explain your approach to data analysis and visualisation. This is your chance to shine!
✨Communicate Clearly
Since you'll need to communicate findings to both technical and non-technical audiences, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge the gap between science and business, which is crucial for this role.
✨Emphasise Collaboration
Syngenta values teamwork, so be sure to share examples of how you've worked cross-functionally in the past. Discuss any experiences where you collaborated with IT or software developers to deploy data science solutions, as this will resonate well with the interviewers.
