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Position: Senior Research Fellow: Health Data Scientist
Institution: University College London
Department: Institute of Health Informatics
Location: London, United Kingdom
Duties: The Institute of Health Informatics (IHI) was established in August 2014 as part of the Faculty of Population Health Sciences (FPHS) within the UCL School of Life and Medical Sciences (SLMS). At the UCL Institute of Health Informatics, we work to develop and evaluate data collecting systems and utilise the data produced. Central to our work are electronic health records (EHR), which offer unique opportunities for the advancement of medical research, quality of care, and outcomes. The postholder will work on an industry funded project with the aim of improving the drug discovery process through a better understanding of disease heterogeneity. The research involves identifying and characterising latent disease subtypes by applying unsupervised machine learning approaches on linked electronic health record (EHR) data and validating the disease subtypes using a number of genetic and epidemiological approaches using data from the UK Biobank. The post holder will be responsible for leading the analyses including implementing and applying unsupervised machine learning approaches
Requirements: The successful applicant must have a PhD in machine learning, health informatics, bioinformatics or a related discipline, and have excellent analytic skills including manipulating and analysing large, high dimensional datasets and developing data processing pipelines for health and/or biology data; Experience and skills in machine learning and strong programming experience is essential
   
Text: Senior Research Fellow: Health Data Scientist, - Ref:1877725 Click here to go back to search results Apply Now UCL Department / Division Institute of Health Informatics Location of position London Grade 8 Hours Full Time Salary (inclusive of London allowance) £44,737 - £52,764 per annum Duties and Responsibilities The Institute of Health Informatics (IHI) was established in August 2014 as part of the Faculty of Population Health Sciences (FPHS) within the UCL School of Life and Medical Sciences (SLMS). At the UCL Institute of Health Informatics, we work to develop and evaluate data collecting systems and utilise the data produced. Central to our work are electronic health records (EHR), which offer unique opportunities for the advancement of medical research, quality of care, and outcomes. The postholder will work on an industry funded project with the aim of improving the drug discovery process through a better understanding of disease heterogeneity. The research involves identifying and characterising latent disease subtypes by applying unsupervised machine learning approaches on linked electronic health record (EHR) data and validating the disease subtypes using a number of genetic and epidemiological approaches using data from the UK Biobank. The post holder will be responsible for leading the analyses including implementing and applying unsupervised machine learning approaches The post is funded for 12 months in the first instance and further funding may become available. Key Requirements The successful applicant must have a PhD in machine learning, health informatics, bioinformatics or a related discipline, and have excellent analytic skills including manipulating and analysing large, high dimensional datasets and developing data processing pipelines for health and/or biology data. Experience and skills in machine learning and strong programming experience is essential. Further Details A job description can be accessed at the bottom of this page. To apply for the vacancy please click on the Apply Now button below. For an informal discussion please contact Professor Spiros Denaxas s.denaxas@ucl.ac.uk For any queries regarding this advert or recruitment process please contact Anita Gorasia (a.gorasia@ucl.ac.uk) UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 13 Aug 2021 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job description and person specification Apply Now
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