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Data Science Research Assistant at Imperial College London

Imperial College London has an opening postdoctoral fellowship position in bioinformatics. This position is available for 6 months in the first instance. The deadline to apply is October 08, 2019.

An exciting opportunity has arisen for the appointment of a Data Science Research Assistant to join the Imperial Phenome Centre (IPC) based at Imperial College London.

The Centre undertakes metabolic phenotyping from a diverse portfolio of research collaborations spanning clinical medicine to large-scale population health studies from within Imperial and beyond. The IPC specialises in state-of-the-art targeted and untargeted approaches using a combination of NMR, chromatographic and MS technologies alongside innovative informatics approaches.

With a key focus on building strong research collaborations, identifying biologically and clinically relevant biomarkers, and developing innovative technological and bioinformatics approaches required for the analysis of "big data", this is an exciting role within a highly motivated and supportive team

The Centre, in operation since June 2012 (previously as the National Phenome and Clinical Phenotyping Centres), provides high-throughput, high-quality analysis of samples and engages in academic and industrial collaborations for projects requiring complex data analysis and interpretation across a wide range of research areas. It is a national resource to enable researchers (academic and commercial) to have access to state-of-the-art NMR and Mass Spectrometry facilities and expertise at Imperial to undertake this work. The Centre specialises in both the untargeted and targeted measurement of biochemicals in human biofluids, focussing not only on the delivery of high quality datasets but also the continual development and advancement of associated bioinformatic approaches.

Working as part of a team, you will be responsible for the ongoing development of tools to improve and enhance the existing pipeline for untargeted data, crucial for increasing interpretability both within and between studies. In addition, you will have a role in supporting clinical studies from start to finish, from the initial review of study design with collaborators, through using informatics methods to ensure high quality data generation, to the final statistical, bioinformatic, and interpretive analysis of the resulting analytical data. You will work closely with colleagues and collaborators to deliver impactful and timely research and project outcomes. You will have an important role in ensuring good communications with colleagues across the Centres, Division, and with our customers and partners in other organisations.

You will have relevant experience in Bioinformatics, Data Science, and/or Chemometrics. You will be able to demonstrate knowledge of chemometrics, chromatography and metabolite-profiling and a strong theoretical grasp of data analysis related to NMR spectroscopy and mass spectrometry, alongside a practical knowledge of the current state-of-the-art software tools employed in these fields. You will have proven coding skills in Python, MATLAB, R, or equivalent. Good team working skills will be essential, as will excellent communication skills and ability to work to deadlines whilst maintaining a high level of accuracy.

This post is full time and fixed term for 6 months in the first instance, and will be based at the Hammersmith Hospital Campus (East Acton) with travel as necessary South Kensington Campus and St Mary's Hospital Campus (Paddington).

For further details please contact Lynn Maslen at L.Maslen@imperial.ac.uk.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published.For more information, seehttps://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College's care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/


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