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Institution: University of Bath
United Kingdom
Retrieved : 2020-04-30 Expired
Description :

Applications are invited for a 3-year postdoctoral Research Associate in the Department of Mathematical Sciences at the University of Bath. You will work under the supervision of Dr Jonathan Bartlett (University of Bath) and Dr Rhian Daniel (Cardiff University School of Medicine).

The position is funded by an MRC grant ‘Clinical trial estimands: from definition to estimation’. Randomised clinical trials represent the gold standard approach for evaluating new medicines, but in practice various complications often arise which make statistical analysis difficult. These include patients taking treatments they were not assigned to take, or patients sadly dying before the outcome of interest can be measured. This project will investigate, develop, and implement statistical methods to estimate a variety of causal effects or estimands in this context, which in different ways handle such complications.

The role will involve a mixture of research and evaluation of existing statistical methods developed in the field of causal inference, development of new methods, and implementation of them into statistical software packages to enable their widespread use in clinical trials.

You will have a PhD in biostatistics, ideally with experience in causal inference or missing data methods, and be confident in programming using R or Stata. You will have the opportunity to work with statisticians from the project’s industrial collaborator, AstraZeneca, and will participate in regular meetings of leading UK researchers in the fields of causal inference and missing data.

It is anticipated that the position will start in July 2020 or shortly thereafter, depending on the current global situation.

Informal enquiries can be made to j.w.bartlett@bath.ac.uk, however, please ensure that your application is submitted via the University website.

We positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity.

Closing Date: 30 Apr 2020
Type: Education & Research





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