Proteomics Data Scientist UOD1431

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 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

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. To find out more about MRC PPU please visit https://www.ppu.mrc.ac.uk/

Commitment to DORA

The School of Life Sciences has been fully committed to the principals of the San Francisco Declaration on Research Assessment (DORA) since 2013. In assessing applicants, we consider the scientific quality of their published research papers, but do not take into account where the papers were published and do not consider journal-based metrics, such as Journal Impact Factors.

As an internationally diverse institution, we welcome job applicants from all countries and nationalities. The School of Life Sciences is proud to employ staff from over 40 different nations.

The diversity of our staff and students helps to make the University of Dundee a UK university of choice for undergraduate, postgraduate and distance learning. Family friendly policies, staff networks for BME, Disabled and LGBT staff, membership of Athena SWAN, the ECU Race Equality Charter and Stonewall as well a full range of disability services, create an enjoyable and inclusive place to work.

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