We are recruiting for an exceptional individual to join us as a Proteomics Data Scientist within our Mass Spectrometry Facility, to perform data and statistical analysis for proteomic studies using mass spectrometry data. This is a fixed-term appointment until 31 March 2029.

We seek to appoint a data scientist to assist the MRC PPU mass spectrometry facility. The selected candidate will be expected to develop and implement new data analysis and data visualization pipelines for mass spectrometry-based proteomics. The candidate must have experience in mass spectrometry data handling and statistical analysis. Experience with large cohorts and post-translational modifications is highly desirable. The appointed candidate will greatly contribute to the success of the MRC PPU mass spectrometry facility.

The MRC PPU Mass Spectrometry Facility has access to state-of-the-art equipment pushing the institute to the forefront of its field. This position provides an excellent and exciting opportunity to be involved in state-of-the-art proteomics analysis in world class research projects.

Your priorities will include:

• Perform data analysis on mass spectrometry data of proteomics samples, using several search engine platforms (e.g. Dia-NN, Spectronaut, MaxQuant, Proteome Discoverer)

• Perform statistical analysis of the data analysis results using either in-house developed scripts or your-own developed scripts (e.g. batch correction, normalisation, differential analysis, etc.)

• Advice and/or explain to users the data analysis and statistical analysis process

• Working collaboratively and assisting with the training of PhD students and other lab members.

• Contributing to the preparation of research for publication.

Who we’re looking for:

• Have a PhD in Chemistry, Biochemistry, Bioinformatics or related discipline with outstanding academic track record and a publication record in internationally recognised peer-reviewed journals.

• Have a strong interest and background evidence in data analysis and how analyse large study cohorts

• Be fluent in coding languages (inc. Python, R, Matlab, etc.)

• Have a strong ability to work independently but with excellent ability to work in a team, and have an open and collaborative approach to science

We are one of the UK’s leading universities, internationally recognised for our expertise across a range of disciplines and research breakthroughs in multiple areas, including science, medicine and engineering, amongst many others. Our purpose is to transform lives, locally and globally, which we do as a community of staff (Professional Services and academic Schools), students and alumni. Professional Services directorates are key to delivering the University strategy and driving change across the University.

For further information about this position please contact Dr. Renata Soares or Dr. Frederic Lamoliatte at r.filipesoares@dundee.ac.uk or flamoliatte001@dundee.ac.uk