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.
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.
PhD in Bioinformatics, Data Science, Chemometrics, or equivalent. He/she 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 spectrometryPractical knowledge of the current state-of-the-art software tools employed in these fields. He/she 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.
The opportunity to develop new skills and research in metabolomics, lipidomics and proteomics data and integration. The opportunity to continue your career at a world-leading institution. Sector-leading salary and remuneration package (including 38 days off a year).
