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- Tasks: Support R&D projects with metabolomics insights and advanced data analysis.
- Company: Join Syngenta, a leading global research and development company in agriculture.
- Benefits: Generous pension, bonus scheme, private medical insurance, and up to 31.5 days holiday.
- Why this job: Make a real impact in cutting-edge research while working with top scientists.
- Qualifications: PhD or extensive experience in bioinformatics, metabolomics, or related fields required.
- Other info: Dynamic campus environment with a strong learning culture and career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We have an exciting opportunity for an experienced Senior Metabolomics Bioinformatician to join the Metabolomics Data Analysis Team of Research Predictive Science in Product Safety. In this role you will play a vital role in supporting the R&D projects with metabolomics driven insights, contributing to cutting-edge research within our dynamic team.
Key responsibilities will include:
- Supporting multiple projects simultaneously, balancing tight deadlines with rigorous scientific standards.
- Performing metabolomics data processing and data analysis across diverse use cases, primarily focused on understanding the behaviour of chemical or biological solutions for addressing agricultural challenges.
- Designing and executing novel approaches to maximise the output from metabolomics datasets (advanced statistical modelling, machine learning and AI applications, novel data mining and visualisation techniques, biological context integration etc).
- Performing high quality, insightful data interpretation to address critical project challenges.
- Designing and optimising data handling and retrieval solutions, while representing metabolomics in digital infrastructure projects.
- Serving as the metabolomics subject matter expert in multidisciplinary projects, including multi-omics integration.
- Representing the Syngenta Metabolomics Platform capabilities in internal and external scientific communities.
Qualifications
What we are looking for:
- PhD or equivalent extensive experience in bioinformatics, metabolomics, chemistry, biology, data science, or related field.
- In-depth metabolomics data processing / bioinformatics experience: Processing of targeted and untargeted high-resolution LC-MS metabolomics data using specialist software (vendor or open source).
- Good understanding of mass spectrometry and metabolomics data architectures.
- Good understanding of the impact of sample preparation, quality control procedures and analytical chemistry on data processing requirements and correction tools.
- Peak picking, peak annotation, data normalisation and filtering techniques.
- Bioinformatics and pipeline development skills in e.g., KNIME, R or Python.
- Data handling expertise, database and literature searching.
- Experience in multivariate statistics and downstream data analysis approaches: differentially abundant metabolite (DAMs) selection, pathway analysis, biochemical data interpretation.
- Exceptional attention to detail, compliance with best practices and quality assurance processes.
- Ability to present complex results to non-specialists in a clear and concise manner.
- Strong adaptability with proven ability to rapidly acquire new skills, combined with a collaborative mindset.
Desirable skills/experience:
- Toxicology metabolomics experience, familiarity with or contribution to regulatory NAMs use cases, relevant OECD guidance documents and reporting frameworks.
- Ability to deliver technical leadership in defined areas.
- Experience with multiple application areas of metabolomics (in vitro, plant, environmental, mammalian, human etc).
- Multi-omics data integration.
- Experience with Thermo Orbitrap MS and softwares like Xcalibur, Freestyle, Tracefinder, Compound Discoverer, LipidSearch.
Additional Information
Our site 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.
- Campus environment.
- 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.
- 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.
Jealott’s Hill has Disability Confident certification. We are committed to making all stages of our recruitment process accessible to all candidates and our Jealott’s Hill site are a Disability Confident Level 2 Employer. Please let us know if you need any assistance or reasonable adjustments throughout your application and we will do everything we can to support you.
Senior Metabolomics Bioinformatician in Bracknell employer: Syngenta Crop Protection
Contact Detail:
Syngenta Crop Protection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Metabolomics Bioinformatician in Bracknell
✨Tip Number 1
Network like a pro! Reach out to your connections in the bioinformatics and metabolomics fields. Attend relevant conferences or webinars, and don’t be shy about introducing yourself to potential employers. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving metabolomics data analysis. Use platforms like GitHub to share your code and visualisations. This will give employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of mass spectrometry and metabolomics data architectures. Be ready to discuss your experience with statistical modelling and machine learning applications. Practice explaining complex concepts in simple terms – it’s a key skill for this role!
✨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 are proactive about their job search. So, get your application in and let’s make some metabolomics magic happen together!
We think you need these skills to ace Senior Metabolomics Bioinformatician in Bracknell
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in metabolomics and bioinformatics. We want to see how your skills align with the key responsibilities mentioned in the job description.
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your ability to handle metabolomics data processing and analysis. This will help us understand your hands-on experience and problem-solving skills.
Be Clear and Concise: When writing your cover letter, keep it clear and concise. We appreciate straightforward communication, so make sure to articulate your passion for the role and how you can contribute to our team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Syngenta Crop Protection
✨Know Your Metabolomics Inside Out
Make sure you brush up on your metabolomics knowledge, especially around data processing and analysis techniques. Be prepared to discuss specific software you've used, like KNIME or R, and how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Think of examples where you've tackled complex challenges in metabolomics. Highlight your experience with advanced statistical modelling or machine learning applications, and be ready to explain how these approaches led to successful outcomes.
✨Communicate Clearly and Confidently
Since you'll need to present complex results to non-specialists, practice explaining your work in simple terms. Use clear examples to demonstrate your ability to convey intricate data interpretations effectively.
✨Demonstrate Your Collaborative Spirit
This role involves working in multidisciplinary teams, so be ready to share experiences where you've successfully collaborated with others. Emphasise your adaptability and willingness to learn from colleagues in different fields.
