Research Associate in Medical Statistics

at  The University of Manchester

Manchester M13 9PL, , United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate22 Dec, 2024GBP 45163 Annual25 Sep, 2024N/AGood communication skillsNoNo
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Description:

We are seeking a Research Associate in medical statistics with specific expertise in prediction modelling, causal inference and/or equity/fairness. The role holder will be involved with a range of projects including “Assessing and Predicting Risks of Valproate withdrawal and counterfactual risks in people with Epilepsy” in which we seek to use observational data to emulate a ‘target trial’ to infer the causal effect of valproate withdrawal in young patients with epilepsy; and Investigating equity and fairness in a personalised renal function monitoring tool, in which we will undertake research into the fairness implications of a clinical prediction model being used to monitor renal function in patients with heart failure.
You will 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.
As this role involves research at a postgraduate level, applicants who are not an EEA national or a national of an exempt country and who will require sponsorship under the Skilled Worker route of the UK Visas and Immigration’s (UKVI) Points Based System in order to take up the role, will be required to apply for an Academic Technology Approval Scheme (ATAS) Certificate and will need to obtain this prior to making any official visa application UKVI.

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

Software Engineering

Graduate

Proficient

1

Manchester M13 9PL, United Kingdom