Research Associate in Statistics

Found in: Talent UK C2 - 1 week 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.

At University of Manchester, our focus in the hub is on how we can develop and apply causal inference for decision support. Therefore, we are interested in methods to calculate individualised treatment effects, and to allow for predicting future outcomes under a range of interventions. We are also interested in how the incorporation of causal inference in clinical prediction models can improve generalisability and transportability, and ensure fairness.

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.

You will also join an engaged data science community at Manchester with of over 400 investigators working across the University in different disciplines allied to data sciences and connected through the Institute for Data Science and Artificial Intelligence. Our expertise covers the complete data science life-cycle: from information management, through analytics, to practical applications. A key feature of our approach is very close coupling between methodologists and translational scientists, drawing on strength-in-depth in real-world applications of data science. This creates a virtuous circle, where challenging real-world problems drive the methodology research agenda, whilst providing a natural route to exploiting new algorithms and methods. We believe this deeply multidisciplinary approach is one of the distinctive features of data science at Manchester. Manchester is a member of The Alan Turing Institute: the UK’s national institute for data science, and researchers at Manchester lead a Turing research programme in health.

The School is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. We particularly welcome applications from women for this post. An appointment will always be made on merit.



  • 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...

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