Research Associate in Statistics

3 weeks ago


Manchester, United Kingdom The University of Manchester Full time

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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