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Research Scientist role in the AI & Metaproteomics for Human Gut Health group at Quadram Institute Bioscience. The group's mission is to advance microbiome research by developing computational methods, large-scale data resources, and AI-assisted frameworks for understanding microbial function. This is a computational (dry-lab) role focused on analysing and interpreting metaproteomics data and developing analytical workflows, involving close collaboration with experimental researchers.
Job Responsibility:
Development and application of computational and analytical methods for metaproteomics, including peptide and protein identification, taxonomic and functional profiling, and integration with other omics data
applying computational approaches to large-scale microbiome datasets
contributing to research aimed at understanding microbial community function in health and disease
analysing and interpreting metaproteomics data and developing analytical workflows
use and development of AI-assisted approaches for scientific research, including data-driven modelling and the integration of modern AI tools into computational workflows
Requirements:
PhD in Proteomics, Bioinformatics, Computational Biology, or a related discipline
strong interest in proteomics/metaproteomics and microbiome research
experience in analysing proteomics or metaproteomics data
ability to interpret computational results in a meaningful biological context
proficiency in programming/scripting (e.g. Python, Linux)
strong computational skills
domain knowledge and scientific understanding in metaproteomics
Nice to have:
Experience in multi-omics integration, machine learning, or microbiome data analysis
What we offer:
Access to state-of-the-art infrastructure
collaborate with leading researchers
family, faith and diversity friendly working arrangements