Senior Metabolomics Bioinformatician

Requirements

• 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.
• Our site

Benefits

Additional Information

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.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Syngentagroup? Share your experience