|Salary:||UCL Grade 7. The salary range will be £36,770 - £44,388 per annum, inclusive of London Allowance|
|Placed On:||8th October 2021|
|Closes:||7th November 2021|
The CRUK & UCL Cancer Trials Centre (CTC) is a UKCRC registered and NCRI Clinical Trials Unit group member, based within the Cancer Institute at University College London. It is one of the largest cancer trials centres in the UK, with more than 115 members of staff. We currently conduct at least 100 clinical trials in oncology, both nationally and internationally, with a cross-disciplinary approach to developing modern treatments such as novel biotherapeutics, including advanced cell and gene therapies. The main cancer types are haematological malignancies, lung, gynaecological, head and neck, brain, urological, and upper and lower gastrointestinal cancers.
While most of the CTC statisticians work almost exclusively on clinical trials, this post is for a Research Fellow - Quantitative Epidemiologist/Statistician to focus on observational studies in the settings of cancer screening and early diagnosis, and/or the evaluation of cancer drugs. International projects with industry and academic groups have been established in these areas.
The postholder would be using any of the following:
raw person-level data collected within studies conducted by the CTC, perform systematic reviews and meta-analyses, perform modelling, using assumptions to create data for appropriate analyses.
The postholder will work across a variety of projects focusing on observational studies and real world evidence. An important aspect of the role will be on applying modelling techniques. The postholder will also lead or co-lead the specific projects they work on, and will be able to develop their own ideas and be the senior or co-senior author of publications.
This academic post might be particularly appealing to an early-career researcher. The postholder will have a post-graduate (PhD, or MSc with appropriate experience) in Epidemiology, Statistics, or related subject and knowledge of one or more analysis package, e.g. STATA, SAS, R. The postholder should have practical experience of applying analytical and modelling techniques to datasets and experience of working with real world data or conducting systematic reviews would be advantageous.
Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above.
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Latest time for the submission of applications: 23:59.
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