About us
The MRC Clinical Trials Unit at UCL (MRC CTU) is at the forefront of resolving internationally important questions, primarily in infectious diseases, cancer and neurodegenerative diseases. A key goal is to deliver swifter and more effective translation of scientific research into patient and public health benefits. We do this by carrying out challenging and innovative studies and developing and implementing methodological advances in study design, conduct and analysis.
About the role
We are seeking statisticians to join our friendly collaborative trial and observational study teams Statisticians at both grades will work independently on day-to-day statistical aspects of their projects with support from senior statisticians. They will shape the development of statistical analysis plans and lead on data analyses.
For postholders working on trials, this would initially include HIV trials (such as the BREATHER Plus trial, a treatment trial evaluating weekends-off antiretroviral therapy (5 days on, 2 days off) in HIV-infected adolescents compared with standard daily drug therapy, EHVA and PREPVac, two prevention trials looking at the use of vaccines against the HIV virus) or cancer trials (initially working on REFINE, a trial looking at reducing the frequency of immunotherapy (a type of cancer treatment) in patients with melanoma or renal cancer, and PATCH, a long-running trial evaluating the use of oestradiol patches in men with prostate cancer). There are also opportunities to lead on secondary analyses and to co-author publications arising from recently completed trials.
Postholders working in observational studies would join a team which leads paediatric cohort studies in HIV as well as other infections. This includes EPPICC, a large international cohort collaboration which uses individual patient data to answer policy-relevant questions about the treatment and care of children and adolescents with HIV, including the safety and effectiveness of antiretroviral drugs in children.
There may also be opportunities to work in trials in other diseases areas.
This role is eligible for hybrid working with a minimum of 40% on site.
This post is funded for 2 years in the first instance.
About you
Applicants should have a post-graduate qualification in statistics, coupled with a thorough understanding of statistical concepts and practical experience of using statistical methods for design and analysis in medical research. It is essential that they are confident Stata, SAS or R users and able to write programs independently. They should be able to take initiative, prioritise and organise their own workloads.
The roles may suit someone recently or about to complete a PhD.
What we offer
As well as the exciting opportunities this role presents, we also offer great benefits. Please visit to find out more.
Our commitment to Equality, Diversity and Inclusion
As London\'s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world\'s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL\'s workforce.
These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
You can read more about our commitment to Equality, Diversity and Inclusion here :
\xc2\xa339,508 to \xc2\xa357,041 per annum depending on skills and experience.
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