Data Science Research Associate

at  Imperial College London

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ABOUT THE ROLE

An exciting opportunity has arisen for the appointment of a Data Science Research Associate to join the National Phenome Centre (NPC) 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 NPC 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 MS facilities and expertise at Imperial to undertake this work.

WHAT YOU WOULD BE DOING

Working as part of a team, the post holder will support 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. In addition, he/she will work closely with colleagues and collaborators to deliver impactful and timely research outcomes. The post holder will drive the development of the Centre’s informatic infrastructure, including developing novel data science strategies to enhance the existing in-house open-source toolsets. He/she will have an important role in ensuring good communications with colleagues across the Centres, Division, and with our customers and partners in other organisations.