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| Job Location | Wembley Central |
| Education | Not Mentioned |
| Salary | Competitive salary |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent, full-time |
Senior Postdoctoral Data ScientistKings College LondonDepartment of Twin Research & Genetic EpidemiologyGrade 7, £46,292 to £54,534 per annum, including London Weighting Allowance St Thomas CampusContact: Dr Claire Steves (claire.j.steves @kcl.ac.uk)We are looking for a data scientist skilled in the analysis of time-series data and prediction modelling, with initiative and drive, to contribute to research into the biggest medical problem facing the world currently (i.e. COVID-19). You will have a unique opportunity to work on data from two internationally renowned cohorts: firstly, TwinsUK; and secondly, the COVID Symptom Study (ZOE app). Studies in COVID-19 will be wide-ranging including vaccine effects and responses, long-COVID, multi-omic predictors of COVID outcomes, effects of behavioural changes post lockdown, and will include analysis of pre-pandemic data, and throughout the pandemic. The opportunity to contribute to the study of COVID-19 and, potentially, to vaccine responses, through investigation of these unique and large datasets is both unprecedented and of huge international importance, given both the pandemic and development of effective vaccination.There will also be opportunities to engage in other big-data projects using these deeply phenotyped cohorts, as well as with other projects involving machine learning. Applicants are expected to be able to direct research independently and have a good breadth of knowledge of modelling research methodologies and background. This post-doctoral position will also be expected to write papers, review papers, and supervise and mentor research assistance and students, in a highly supportive environment for both early- and mid-career researchers. This post will be offered on a fixed term contract for 12 monthsThis is a full-time postKey responsibilitiesThis post will work supporting the research activities of Dr Claire Steves (PI, Deputy Director for TwinsUK, Dept of Twin Research, School of Life Course Sciences) and Professor Seb Ourselin (School of Engineering).This research will include handling time-series data from over 6 million sign-ups on the App, mostly from the UK and over 165 million daily symptom reports. The App has already provided critical insight on the spread of COVID-19 in the country to inform government policy. You will join a team of researchers maximizing ongoing impact for the pandemic response. Part of your role will be linking detailed pre- and post-pandemic biological and medical records data with app data, so knowledge of genetic and multi-omic data is desirable, though not essentialApplicants are expected to be able to direct research independently with a good breadth of knowledge of modelling methodologies and background. This post-doc will also be expected to write papers, review papers, and supervise and mentor research assistance and students.