Back to search results

Research Fellow

University College London - UCL Department of Mathematics

Location: London
Salary: £35,328 to £39,353 per annum, inclusive of London Allowance
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 13th August 2019
Closes: 20th October 2019
Job Ref: 1818215

Clinical Operational Research Unit

The appointment will be on UCL Grade 7.

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.

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.

UCL vacancy reference: 1818215       

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above.

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

Informal enquiries may be addressed to Dr Sonya Crowe tel: +44 (0)20 7679 4953, email or Professor Christina Pagel, tel: +44 (0)20 7679 4501, email  

Latest time for the submission of applications: 23:59.

Interview Date: TBC

UCL Taking Action for Equality

We will consider applications to work on a part-time, flexible and job share basis wherever possible.

Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):


Job tools
More jobs from University College London

Show all jobs for this employer …

More jobs like this
Join in and follow us

Browser Upgrade Recommended has been optimised for the latest browsers.

For the best user experience, we recommend viewing on one of the following:

Google Chrome Firefox Microsoft Edge