Research Associate in Clinical Mass Spectrometry

About the role

This position is funded by CRUK to investigate the clinical potential of advanced metabolomic-based techniques in the early detection and diagnosis of ovarian cancer. The Research Associate post will focus on the use of innovative mass spectrometry platforms that allow direct analysis of human samples to rapidly detect ovarian cancer. 

What you would be doing

The post holder will generate new, and use already available, mass spectrometry data from human samples to perform relevant experimental and data analyses. The ideal candidate will have experience with mass spectrometry data analysis and interpretation and a strong understanding of mass spectrometry techniques.  The Research Associate will be expected to develop and optimise workflows for mass spectral data analysis using appropriate software and programming tools. The successful candidate is expected to contribute to the design of experiments and provide input on data generation protocols to ensure robust and reproducible results.

What we are looking for

• Solid background in statistics, machine learning, or computational biology
• Practical experience within a research environment and / or publication in relevant and refereed journals
• Practical experience in a broad range of techniques including mass spectrometry, analysis and interpretation of mass spectral data using programming, statistical packages and other available platforms (e.g., Python)

What we can offer you

• Opportunity for training and development courses
• The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
• Grow your career: Gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression
• Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes).

Further information

This is a Full Time Fixed Term role based at our Hammersmith Campus

If you require any further details on the role please contact:

Dr Maria Paraskevaidi – m.paraskevaidi@imperial.ac.uk

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