Research Associate in Bayesian Models for Synthetic Trials
School of Mathematics and Statistics,
The University of Sheffield
Ref UOS025064
Fixed term until July 2022
Grade 7, £31,866 - £40,322 per annum
Closing Date: 16 January 2020
A Research Associate position is available as part of the €5M, H2020 EU funded STriTuVaD project (https://www.strituvad.eu), focused on developing computational modelling techniques to provide in-silico augmented clinical trials for Tuberculosis (TB) vaccination development.
The role will specifically contribute through the development and implementation of a coherent Bayesian framework combining information from Phase II clinical trials with in-silico data from a bespoke agent-based simulator of the immune system.
Travel to some project partners is anticipated, you will therefore have excellent communication and engagement skills and be capable of working with researchers and software developers from a diverse background. You will hold a PhD in a relevant discipline (or have equivalent experience), with demonstrable expertise in statistical modelling, with special emphasis on hierarchical Bayesian models.
Visit https://tinyurl.com/ ud5unx9 for further details and how to apply. Informal enquiries to Dr Miguel Juarez ([log in to unmask]) are encouraged.
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