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Research Fellow in Computational Metabolomics

University of Birmingham, Birmingham

Research Fellow in Computational Metabolomics

Salary not available. View on company website.

University of Birmingham, Birmingham

  • Full time
  • Temporary
  • Onsite working

Posted 5 days ago, 28 Jun | Get your application in now to be included in the first week's applications.

Closing date: Closing date not specified

job Ref: 119886142735443896ec5eae1a54547d

Full Job Description

  • Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC-MS-based comparative metabolomics datasets. These datasets, spanning a range of model organisms (e.g. Caenorhabditis elegans, Drosophila melanogaster, Daphnia magna, etc) and human cell lines, represent one of the world's most comprehensive toxicological cross-species metabolomics resources.
  • Drive the in-depth computational characterisation and annotation of metabolomes across diverse model organisms and human cell lines, using multistage fragmentation (MSⁿ) data and computational methods and approaches (e.g. spectral matching, network-based approaches, and machine learning techniques, etc).
  • Design and apply robust statistical analysis strategies to uncover biologically meaningful patterns from complex metabolomics datasets, support hypothesis testing, and enable cross-species comparisons of metabolic responses to chemical exposures or other perturbations.

    PhD (awarded or near completion) or equivalent experience in computational or mass spectrometry-based metabolomics, bioinformatics, or a related discipline.

    Full time starting salary is normally in the range £36,130 to £45,413 with potential progression once in post to £48,149Fixed Term contract up to August 2028BackgroundWe are seeking an innovative Research Fellow in Computational Metabolomics to join the Centre for Environmental Research and Justice (CERJ) and the School of Biosciences at the University of Birmingham. You will be working in a vibrant, interdisciplinary research ecosystem, driving cutting-edge research at the intersection of metabolomics, human health, and toxicology. This exciting role offers the opportunity to contribute to major EU-funded research programmes, including and (Partnership for the Assessment of Risks from Chemicals), in close collaboration with the . These programmes are advancing the science and practice of chemical risk assessment and informing next-generation regulatory frameworks to better protect human health and the environment from toxic substances.Specifically, the post holder will develop,
    • implement, and apply advanced computational tools and reproducible workflows to interrogate large-scale, liquid chromatography-mass spectrometry (LC-MS)-based comparative metabolomics datasets spanning a range of model organisms (e.g. Danio rerio, Caenorhabditis elegans, Drosophila melanogaster, Daphnia magna, and others) and human cell lines. In addition, the role will involve the in-depth characterisation and annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where appropriate. The successful candidate will actively promote FAIR data practices and will have opportunities to contribute to teaching, training, and wider community engagement.Research team:
  • The role is embedded within a diverse and interdisciplinary research environment comprising experienced scientists in toxicology and human health, analytical chemistry, software engineering, statistics, and bioinformatics.
  • The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, and human and environmental health.
  • Close collaboration is expected with colleagues in the Phenome Centre Birmingham, as well as with national and international partners across academia and industry.

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https://www.jobs24.co.uk/job/research-fellow-in-computational-metabolomics-125314257
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