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Position: Research Fellow
Institution: University College London
Department: Institute of Health Informatics
Location: London, United Kingdom
Duties: The postholder will be based at the UCL Institute of Health Informatics and will primarily work on an NIHR-funded grant on long COVID to characterise the syndrome and identify risk factors and physiological pathways that predispose individuals to longer lasting symptoms to help guide patient treatment and support. The postholder will be responsible for developing statistical analysis protocols and leading the analysis of quantitative data from long COVID patients from a range of data sources and disciplines. You will also contribute to other ongoing COVID-19 research projects including creating and validating phenotyping algorithms for high-risk comorbidities and measuring direct and indirect effects of infection (including healthcare utilisation). You will work collaboratively with researchers in the consortium and will contribute to high-quality research outputs, including writing manuscripts for publication
Requirements: The successful applicant will have a PhD (or equivalent experience) in epidemiology, biostatistics, bioinformatics or a related population health science and have excellent analytic skills, including statistical analysis and data wrangling. Experience working with longitudinal electronic health or other routine administrative data is essential. You will also have experience in reproducible science best practices e.g. source code version control (git) and Jupyter management. The postholder will be able to work independently, have excellent written and verbal communication skills and work well within a team environment
   
Text: Research Fellow, - Ref:1878546 Click here to go back to search results Apply Now UCL Department / Division Institute of Health Informatics Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £36,028 - £43,533 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 be based at the UCL Institute of Health Informatics and will primarily work on an NIHR-funded grant on long COVID to characterise the syndrome and identify risk factors and physiological pathways that predispose individuals to longer lasting symptoms to help guide patient treatment and support. The postholder will be responsible for developing statistical analysis protocols and leading the analysis of quantitative data from long COVID patients from a range of data sources and disciplines. You will also contribute to other ongoing COVID-19 research projects including creating and validating phenotyping algorithms for high-risk comorbidities and measuring direct and indirect effects of infection (including healthcare utilisation). You will work collaboratively with researchers in the consortium and will contribute to high-quality research outputs, including writing manuscripts for publication. The post is funded until 29 February 2024 in the first instance, further funding may become available. Key Requirements The successful applicant will have a PhD (or equivalent experience) in epidemiology, biostatistics, bioinformatics or a related population health science and have excellent analytic skills, including statistical analysis and data wrangling. Experience working with longitudinal electronic health or other routine administrative data is essential. You will also have experience in reproducible science best practices e.g. source code version control (git) and Jupyter management. The postholder will be able to work independently, have excellent written and verbal communication skills and work well within a team environment. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary £31,542 - £33,257 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis 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 5 Oct 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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