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Wolfson Building
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Postdoctoral Research Scientist
comment: An enthusiastic postdoctoral researcher looking to develop an independent research career is required for a cutting-edge program of research working with large complex datasets at the interface of data science, genetics, epidemiology and fluid biomarkers. The position will primarily involve integrated analysis of complex datasets including wearables, clinical and fluid biomarker data in order to identify factors that are predictive of the development of the neurodegenerative diseases amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) with the intention of identifying factors that could be used for long term monitoring and prediction of the onset of symptoms. The project will involve analysing data UK Biobank and from a cohort of individuals at elevated risk of developing ALS FTD due to carrying disease- causing genetic variants, specifically relating to blood biomarkers, cognitive function and wrist-worn accelerometry data. The post holder will be responsible for acquiring data, data preparation, carrying out analysis, presenting findings and preparing publications. In addition, the post involves oversight of data acquisition and data quality. The project is a collaboration between the Oxford MND Centre, University of Oxford Big Data Institute and University College London funded by the MND Translational Accelerator. The post would be ideally suited to someone proactive and ambitious who has obtained their PhD and is planning an academic career in data science, medical statistics, or epidemiology. The post holder will provide guidance to junior members of the research group including research assistants and PhD students and will contribute to other projects within the Oxford MND Centre. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information about the university and how to apply. **The post is full time, although part time at a minimum of 0.8 FTE may be considered, f…
comment: An enthusiastic postdoctoral researcher looking to develop an independent research career is required for a cutting-edge program of research working with large complex datasets at the interface of data science, genetics, epidemiology and fluid biomarkers. The position will primarily involve integrated analysis of complex datasets including wearables, clinical and fluid biomarker data in order to identify factors that are predictive of the development of the neurodegenerative diseases amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) with the intention of identifying factors that could be used for long term monitoring and prediction of the onset of symptoms. The project will involve analysing data UK Biobank and from a cohort of individuals at elevated risk of developing ALS FTD due to carrying disease-causing genetic variants, specifically relating to blood biomarkers, cognitive function and wrist-worn accelerometry data. The post holder will be responsible for acquiring data, data preparation, carrying out analysis, presenting findings and preparing publications. In addition, the post involves oversight of data acquisition and data quality. The project is a collaboration between the Oxford MND Centre, University of Oxford Big Data Institute and University College London funded by the MND Translational Accelerator. The post would be ideally suited to someone proactive and ambitious who has obtained their PhD and is planning an academic career in data science, medical statistics, or epidemiology. The post holder will provide guidance to junior members of the research group including research assistants and PhD students and will contribute to other projects within the Oxford MND Centre. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information about the university and how to apply. The post is full time, although part time at a minimum of 0.8 FTE may be considered, for …
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application closing date: 2024-11-20T12:00:00+00:00
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further particulars: Job Description
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label: Grade 7: £38,674– £46,913 per annum A less experienced candidate may be appointed at Grade 6 (£34,982 - £40,855 per annum), with a commensurate adjustment in either the essential criteria, responsibilities or duties.
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value: West Wing, Level 6, John Radcliffe Hospital, Oxford, OX3 9DU Web: www.ndcn.ox.ac.uk | Tel: +44(0)1865 234702 | Email: recruitment@ndcn.ox.ac.uk Job title Postdoctoral Research Scientist Division Medical Sciences Division Department Nuffield Department of Clinical Neurosciences (NDCN) Location John Radcliffe Hospital, Headington, Oxford, OX3 9DU Grade 7: £38,674– £46,913 per annum Grade and salary Hours A less experienced candidate may be appointed at Grade 6 (£34,982 - £40,855 per annum), with a commensurate adjustment in either the essential criteria, responsibilities or duties. Full time Part time at a minimum 0.8 FTE may be considered Contract type Fixed-term until 31st October 2026 Reporting to Dr Alexander Thompson, Clinician Scientist Vacancy reference 176295 Research topic Neurodegenerative diseases Principal Investigator / supervisor Dr Alexander Thompson Project team The Oxford MND Centre www.ox.ac.uk/ Project web site Funding partner https://www.ndcn.ox.ac.uk/research/oxford-motor-neurondisease-centre The funds supporting this research project are provided by MND Translational Accelerator / Medical Research Council The role An enthusiastic postdoctoral researcher looking to develop an independent research career is required for a cutting-edge program of research working with large complex datasets at the interface of data science, genetics, epidemiology and fluid biomarkers. The position will primarily involve integrated analysis of complex datasets including wearables, clinical and fluid biomarker data in order to identify factors that are predictive of the development of the neurodegenerative diseases amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) with the intention of identifying factors that could be used for long term monitoring and prediction of the onset of symptoms. The project will involve analysing data UK Biobank and from a cohort of individuals at elevated risk of developing ALS FTD due to carrying disease-causing genetic…
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