Research Associate/Statistician

University College London - UCL Institute for Global Health - HIV Epidemiology & Biostatistics Group

The Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), within the Institute for Global Health, are seeking to appoint a Medical Statistician/Research Associate with a passion and interest in applying statistical methods to clinically relevant questions and helping with interpretation of complex statistical analyses. The Group contains a large number of statisticians and epidemiologists working on the design and analysis of studies in HIV infection and other infectious diseases. The post-holder will be expected to support research projects from collaborator as well as establishing your own research portfolio, and contribute to improving data quality in RESPOND in collaboration with the IT team based in Copenhagen. You will also be required to support or lead the writing of papers and present findings on original research for peer-review journals. In addition, teaching and training activities will be part of the position, both at post and pre-graduate level, as well as supervision of MSc and/or PhD level studies. The Group is co-led by Professors Andrew Phillips and Caroline Sabin.

The post-holder will be based at the Royal Free Hospital in Hampstead, London, but will be expected to meet regularly with the team in Copenhagen, support coordination and management activities as well as supporting funding initiatives.

The post is funded by the RESPOND study and is available immediately to the 31 December 2020, in the first instance. The post-holder will be accountable to Professors Amanda Mocroft and Professor Jens Lundgren.

Appointment at Grade 7 (as above) is dependent upon having been awarded a PhD or with equivalent research experience. If this is not the case, initial appointment will be at research assistant Grade 6B point 24-26 (salary £30,316 to £31,967 per annum inclusive of London Allowance £3,031 per annum).

The successful applicant will hold a PhD in Medical Statistics, epidemiology with significant statistical content (or equivalent research experience). Previous experience of analysis of longitudinal data, including standard survival methods and generalised models is essential. Applicants will have knowledge and experience of the statistical package SAS and/or to be willing to adopt the use of this package. Essential experience and skills include: considerable experience in analysis and interpretation of data from large, complex clinical based data sets, ability to communicate statistical concepts effectively to those with only minimal statistical knowledge, excellent interpersonal, oral and written communication skills, willingness to improve data quality. In addition, they will have a strong publication record and experience of small group teaching supervision of MSc and/or PhD projects and other forms of public presentation. It is desirable for the applicant to have an interest or background in the subject area, including HIV and clinically relevant research, and cohort studies.  

UCL vacancy reference: 1710377      

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

Informal enquiries should be made to Professor Amanda Mocroft, via email a.mocroft@ucl.ac.uk or to Dr Lene Ryom email lene.ryom.nielsen@regionh.dk Applications to be completed on line via the UCL Jobs website. For enquiries about the application process please contact pam.clarke@ucl.ac.uk.

Interview Date: TBC

UCL Taking Action for Equality

Share this job
     
  Share by Email   Print this job   More sharing options
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:

Location(s):

London