Research Associate in Statistics (Causal Inference)

Job title:

Analysis Affiliate in Statistics (Causal Inference)

Firm

College of Manchester

Job description

We’re searching for a Analysis Affiliate with experience in causal inference to affix the College of Manchester spoke of “CHAI hub: Causality in Healthcare and AI”. The CHAI hub; led by College of Edinburgh and in addition involving College of Central London (UCL), Imperial School, Kings School London, and College of Exeter; is a £12M funding within the improvement of recent concept and strategies for causality as utilized to healthcare.At College of Manchester, our focus within the hub is on how we will develop and apply causal inference for determination help. Subsequently, we’re concerned with strategies to calculate individualised remedy results, and to permit for predicting future outcomes beneath a variety of interventions. We’re additionally concerned with how the incorporation of causal inference in medical prediction fashions can enhance generalisability and transportability, and guarantee equity.Particular exemplars of curiosity embrace: optimising most cancers remedy – together with methods to optimise radiotherapy remedy plans; most cancers prognosis and screening – the place equity of fashions that prioritise people for screening is a specific concern; and cardiovascular main prevention – the place we search to optimise each population-level and individual-level intervention, offering steerage each to people and policy-makers.You must have experience in causal inference, and will come from a statistical and/or machine studying background. You’ll maintain, or be about to acquire, a PhD in a related area. This can be a distinctive alternative to affix a big UK-wide crew of specialists in causal inference for healthcare to make an actual distinction within the area of causal AI.Additionally, you will be a part of an engaged information science group at Manchester with of over 400 investigators working throughout the College in several disciplines allied to information sciences and related by way of the Institute for Knowledge Science and Synthetic Intelligence. Our experience covers the whole information science life-cycle: from data administration, by way of analytics, to sensible functions. A key function of our method could be very shut coupling between methodologists and translational scientists, drawing on strength-in-depth in real-world functions of knowledge science. This creates a virtuous circle, the place difficult real-world issues drive the methodology analysis agenda, while offering a pure path to exploiting new algorithms and strategies. We imagine this deeply multidisciplinary method is among the distinctive options of knowledge science at Manchester. Manchester is a member of The Alan Turing Institute: the UK’s nationwide institute for information science, and researchers at Manchester lead a Turing analysis programme in well being.The Faculty is strongly dedicated to selling equality and variety, together with the Athena SWAN constitution for gender equality in greater schooling. The Faculty holds a Silver Award which recognises their good follow in relation to gender; together with versatile working preparations, family-friendly insurance policies, and help to permit workers obtain a superb work-life stability. We notably welcome functions from girls for this publish. An appointment will at all times be made on benefit. For additional data, please go to: https://www.bmh.manchester.ac.uk/about/equality/Our College is constructive about versatile working – you’ll find out extraBlended working preparations could also be thought-aboutPlease notice that we’re unable to answer enquiries, settle for CVs or functions from Recruitment Businesses.Enquiries concerning the emptiness, shortlisting and interviews:Identify: Dr Matthew SperrinE mail:Basic enquiries:E mail:Technical help:Jobtrain: 0161 850 2004This emptiness will shut for functions at midnight on the cut-off date.Please see the hyperlink beneath for the Additional Particulars doc which accommodates the individual specification standards.

Anticipated wage

Location

Manchester

Job date

Fri, 29 Mar 2024 07:24:07 GMT

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