Scientist/Senior Scientist, Mass Spectrometry - Generative Biology Institute

Scientist/Senior Scientist, Mass Spectrometry - Generative Biology Institute
EIT - Ellison Institute of Technology
Oxford, United Kingdom
Your Role
The Mass Spectrometry Tech Hub within the GBI is seeking a Scientist / Senior Scientist with expertise in single-cell mass spectrometry, with a particular focus on single-cell proteomics and/or metabolomics.
This is an exciting opportunity to help establish and develop cutting-edge single-cell MS workflows within a highly collaborative, technology-driven research institute. The successful candidate will work closely with GBI research groups as well as scientists across other EIT institutes. We also work in close collaboration with other Tech Hubs including automation, flow cytometry, sequencing, bioinformatics, scientific computing and AI/ML, to deliver high-quality, reproducible and scalable analytical workflows.
We are looking for candidates with a good understanding of the challenges of low-input and single-cell analysis, that can communicate clearly with multidisciplinary teams, can develop robust experimental workflows, and are motivated to push the boundaries of what mass spectrometry can deliver.
This role is particularly suited to a scientist who enjoys developing new methods, troubleshooting complex analytical workflows, working across biological applications, and translating advanced MS technologies into accessible, high-impact research capability for the wider Institute.

Key Responsibilities

To develop, implement and optimise LC-MS-based workflows for low-input and single-cell proteomics and/or metabolomics.
To support GBI, and broader EIT, researchers in the design, execution, analysis and interpretation of mass spectrometry experiments, including sample preparation, method development, data acquisition and data interpretation.
To help develop standard operating procedures, training material and user-facing guidance for single-cell and low-input MS workflows.
To contribute to the analysis and interpretation of complex MS datasets, working closely with bioinformatics, scientific computing and AI/ML colleagues where appropriate.
To assist, where required, in manuscript preparation, internal reports and external presentations.
To promote and champion EIT and the work of the GBI, representing the Institute at scientific meetings, conferences and public events where appropriate.

Requirements

Essential Criteria
PhD, equivalent advanced degree, or equivalent research/industry experience in analytical chemistry, mass spectrometry, proteomics, metabolomics, biochemistry, molecular biology, cell biology or a related discipline.
Demonstrable experience in mass spectrometry-based proteomics and/or metabolomics, including LC-MS sample preparation, method development, data acquisition, troubleshooting and quality control.
Strong knowledge of low-input or single-cell analytical workflows, including single-cell proteomics, single-cell metabolomics, low-cell-number proteomics or other high-sensitivity MS approaches.
Practical understanding of bottom-up and top-down proteomics and/or metabolomics workflows, including LC-MS acquisition strategies, database searching, quantitative analysis and interpretation of complex datasets.
Experience with MS data analysis software such as Spectronaut, DIA-NN, MaxQuant, Proteome Discoverer, FragPipe, Compound Discoverer, MS-DIAL, Skyline or equivalent platforms.
Strong communication, collaboration and organisational skills, with a commitment to experimental reproducibility, data integrity and working effectively across multidisciplinary research teams.
Desirable Experience
Hands-on experience with advanced high-resolution MS platforms, including Orbitrap Tribrid instruments and/or timsTOF platforms.
Experience with nanoLC, low-flow LC, high-sensitivity chromatography, carrier proteome approaches, TMT/isobaric labelling, DIA, DDA, PRM, SRM/MRM or related quantitative MS workflows.
Experience developing or implementing single-cell or ultra-low-input workflows such as nanoPOTS, SCoPE-MS, plexDIA, low-input DIA, FACS-based sample preparation or automated nanolitre-scale sample preparation.
Experience working with limited or complex biological samples, including rare cell populations, sorted cells, micro-dissected material, primary cells, tissue-derived samples, organoids, microbial systems, plant samples or engineered biological systems.
Experience integrating MS workflows with upstream biological or automation platforms, including cell culture, cell sorting, liquid handlers, acoustic dispensing, microfluidics or high-throughput sample preparation.
Experience working in a technology hub, core facility, collaborative research environment, biotech, pharma or translational setting; for Senior Scientist level, evidence of independent method development, scientific leadership, training and strategic capability building.
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EIT - Ellison Institute of Technology