Research Associate in Statistics
7 months ago
We are seeking a Research Associate with expertise in **causal inference** to join the University of Manchester spoke of CHAI hub: Causality in Healthcare and AI. The CHAI hub; led by University of Edinburgh and also involving University of Central London (UCL), Imperial College, Kings College London, and University of Exeter; is a £12M investment in the development of new theory and methods for causality as applied to healthcare.
Specific exemplars of interest include: optimising cancer treatment including how to optimise radiotherapy treatment plans; cancer diagnosis and screening where fairness of models that prioritise individuals for screening is a particular concern; and cardiovascular primary prevention where we seek to optimise both population-level and individual-level intervention, providing guidance both to individuals and policy-makers.
You should have expertise in causal inference, and may come from a statistical and/or machine learning background. You will hold, or be about to obtain, a PhD in a relevant field. This is a unique opportunity to join a large UK-wide team of experts in causal inference for healthcare to make a real difference in the field of causal AI.
Our University is positive about flexible working you can find out more here
Blended working arrangements may be considered
**Enquiries about the vacancy, shortlisting and interviews**:
Name: Dr Matthew Sperrin
**General enquiries**:
**Technical support**:
Jobtrain: 0161 850 2004
**Please see the link below for the Further Particulars document which contains the person specification criteria.
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