02 Jul, 2019

Researcher in Medical Statistics

  • DataCareer GmbH
  • Oxford, UK
Big Data

Töö kirjeldus - job description.

We are looking for a highly motivated and well-organised Research Assistant in Medical Statistics/Data Science. The project team (Professors Neubauer and Piechnik from the Oxford Centre for Clinical Magnetic Resonance Research, RDM, Professor Petersen from Queen Mary University London, for cardiovascular; Professors Jenkinson and Smith from FMRIB/NDCN/WIN, Professor Nichols from the Big Data Institute, for brain; Drs Kelly and Banerjee from Perspectum Diagnostics for liver) have spearheaded development of MRI phenotyping in UK Biobank. They now plan to work together to assess how heart, brain and liver phenotypes correlate/interact with each other and how they link to clinical/genetic characteristics and outcomes on a population level. You will work with these teams to develop and publish these analyses. Ultimately, this work is expected to lead to novel risk prediction models that may guide clinical practice and disease prevention.

You will be required to conduct detailed analysis of heart, brain and liver data obtain from the UK Biobank. As well as this you will develop statistical analysis plans for studies and contribute to the overall planning of studies. You will be required to hold a degree in a relevant subject and a postgraduate degree in mathematics, statistics, computing, or a related subject and Demonstrable experience, ability and practical success in statistics or machine learning, working with large scale datasets. Previous research experience, especially in medicine, in particular with brain, heart or liver organs would be desirable.

This full-time appointment is fixed-term until 31 March 2022. This post is funded by the BRC and you will be based at the Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Oxford, OX3 9DU

Applications for this vacancy are to be made online; you will be required to upload a CV and supporting statement which explains how you meet the selection criteria for the post.

Only applications received before 12.00 midday on 15 July 2019 can be considered. Interviews are scheduled to place in August.

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