Visit All-Acad.com with more than 100,000 Jobs for Academics!
                    
Position: Senior Biomedical Data Scientist (GameChanger Study)
Institution: University of Oxford
Department: Oxford University Big Data Institute (BDI)
Location: Oxford, Oxfordshire, United Kingdom
Duties: We are looking for an exceptional Data Scientist to lead the analysis of “GameChanger” a major new study into the use of Apps for detecting longitudinal cognitive change in population-level cohorts. In addition, the app will be promoted inside several large-scale UK cohorts such as UK BioBank, ALSPAC, Generation Scotland, NIHR BioResource, and others, to provide a highly-phenotyped subset. Based within the BDI, you will be part of the interdisciplinary team which designed and built Mezurio, leading on the selection of methods, taking responsibility for statistical design, exploring new and complex streams of data, working with the Big Data team to scale up analyses, and with software engineers on the design of new modules for the App
Requirements: To be considered you will have a PhD involving a substantial data science component and a BSc or MSc in Science, Maths, Engineering or Computing. You will require a strong understanding of statistical methods for analysing longitudinal data, and must be able to demonstrate instances of solving significant scientific problems using data science techniques. You will also have the ability to write academic reports and provide statistical leadership to a research group
   
Text: Senior Biomedical Data Scientist (GameChanger Study) NDPH, Old Raod Campus, Headington, Oxford Grade 8: £39,992 - £47,722 p.a. The Oxford University Big Data Institute (BDI) is a new interdisciplinary research centre aiming to develop, evaluate and deploy efficient methods for acquiring and analysing biomedical data at scale and for exploiting the opportunities arising from such studies. The Nuffield Department of Population Health (NDPH), a key partner in the BDI, contains world-renowned population health research groups and is an excellent environment for multi-disciplinary teaching and research. We are looking for an exceptional Data Scientist to lead the analysis of GameChanger a major new study into the use of Apps for detecting longitudinal cognitive change in population-level cohorts. Starting this September, GameChanger is a national citizen science project which will deploy the Mezurio Smartphone App (www.mezur.io) through a publicity campaign led by the UK Alzheimers Society. In addition, the app will be promoted inside several large-scale UK cohorts such as UK BioBank, ALSPAC, Generation Scotland, NIHR BioResource, and others, to provide a highly-phenotyped subset. Based within the BDI, you will be part of the interdisciplinary team which designed and built Mezurio, leading on the selection of methods, taking responsibility for statistical design, exploring new and complex streams of data, working with the Big Data team to scale up analyses, and with software engineers on the design of new modules for the App. To be considered you will have a PhD involving a substantial data science component and a BSc or MSc in Science, Maths, Engineering or Computing. You will require a strong understanding of statistical methods for analysing longitudinal data, and must be able to demonstrate instances of solving significant scientific problems using data science techniques. You will also have the ability to write academic reports and provide statistical leadership to a research group. Informal enquiries should be addressed to Dr Chris Hinds (chris.hinds@bdi.ox.ac.uk). The position is full time (part time considered) and fixed term for two years. The closing date for applications is noon on 9th August 2018. Contact Person : HR Assistant Vacancy ID : 135842 Contact Phone : 01865 743629 Closing Date : 09-Aug-2018 Contact Email : recruit@ndph.ox.ac.uk Click on the link(s) below to view documents Filesize Snr Biomed Data Sci G8 JD 283.8
Please click here, if the Job didn't load correctly.







Please wait. You are being redirected to the Job in 3 seconds.