Applications are invited for a full time Research Fellow to work in the UCL Clinical Operational Research Unit (CORU) on the project 'CHAMPION'
Candidates should have a PhD or equivalent qualification in a subject with a large amount of mathematical content or equivalent career experience
Research Fellow, - Ref:1818215 Click here to go back to search results Apply Now UCL Department / Division Department of Mathematics Specific unit / Sub department Clinical Operational Research Unit Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £35,328 - £39,353 per annum Duties and Responsibilities Applications are invited for a full time Research Fellow to work in the UCL Clinical Operational Research Unit (CORU) on the project 'CHAMPION' with Dr Sonya Crowe and Professor Christina Pagel. The post is available from 1 November 2019. The responsibilities of the post will include, contributing to the development of statistical models, leading the collation, cleaning and analysis of data and contributing to the preparation of research articles for publication. The successful candidate will also be expected to attend staff meeting and undertake administrative duties in line with the post The post is funded by the National Institute for Health Research (NIHR), until 30th April 2022, in the first instance. Key Requirements Candidates should have a PhD or equivalent qualification in a subject with a large amount of mathematical content or equivalent career experience. Please note: Appointment at Grade 7 is dependent on having been awarded a PhD. If this is not the case, initial appointment will be at research assistant Grade 6B, point 26 (salary £32,607 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. The post holder will also require a good first degree in a quantitative discipline with a large amount of mathematical/statistical content or equivalent career experience. They should also have experience of the use of statistical techniques relevant to health care and experience of conducting data analysis. Willingness and flexibility to work in close collaboration with clinicians, and in a team is also essential. Excellent written and oral English and attention to detail is essential. The candidate should have a track record of publishing peer reviewed academic articles. In addition, the post holder will need to demonstrate excellent computing skills and have computer programming skills. They need to have knowledge of statistical or data analysis software, e.g. STATA; SPSS; R; MATLAB, standard knowledge in Microsoft Office. Outstanding candidates will have experience in risk prediction modelling research, knowledge of a wide range of statistical methods used in medical research, experience of working with health care data. They may also have experience of conducting successful research related to health care and knowledge of data visualisation methods. Further Details A full job description can be accessed below. To apply for this vacancy click the "apply now" button below. Any candidates unable to apply online or with queries regarding the application process should contact Charlotte Ayton-George, tel: 44 (0)20 7679 4509, email firstname.lastname@example.org. Informal enquiries may be addressed to Dr Sonya Crowe tel: 44 (0)20 7679 4953, email email@example.com or Professor Christina Pagel, tel: 44 (0)20 7679 4501, email firstname.lastname@example.org UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 20 Sep 2019 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Further Particulars Apply Now
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