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.