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Position: Research Fellow: Data Scientist
Institution: University College London
Department: Institute of Health Informatics
Location: London, United Kingdom
Duties: As a Research Fellow: Data Scientist you will be expected to supervise data cleaning and validation, extract and prepare data extracts and manage access/permissions to the UCL Data Safe Haven ensuring compliance with frameworks on research and information governance. You will also have day-to-day responsibility for information governance relating to the study, including applications to the Health Research Authority Confidentiality Advisory group (HRA CAG). In addition, you will have the opportunity to contribute to analyses that members of the study team are carrying out and prepare manuscripts for publication. You will also liaise with NHSE/NHS Foundry to ensure the regular flow of data to UCL and support the preparation of applications to link the VIVALDI study to new datasets as required
Requirements: PhD in relevant quantitative discipline (e.g. statistics, bio-informatics, computer science, epidemiology) or relevant working experience; Data management using software such as Stata and/or R and basic statistical skills; Working with large research datasets and database management systems
   
Text: Research Fellow: Data Scientist, - Ref:1883960 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) £37,770 - £44,388 per annum Duties and Responsibilities The Research Fellow: Data Scientist will work on the VIVALDI (COVID-19 in care homes) study, which was set up in May 2020 to inform the pandemic response in care homes. The study has produced a range of findings on topics such as the burden of infection, emergence of COVID-19 variants, and vaccine effectiveness which have informed national policy. This post represents an exciting opportunity to contribute to running the VIVALDI study, and get hands on experience of research using linked health records. As a Research Fellow: Data Scientist you will be expected to supervise data cleaning and validation, extract and prepare data extracts and manage access/permissions to the UCL Data Safe Haven ensuring compliance with frameworks on research and information governance. You will also have day-to-day responsibility for information governance relating to the study, including applications to the Health Research Authority Confidentiality Advisory group (HRA CAG). In addition, you will have the opportunity to contribute to analyses that members of the study team are carrying out and prepare manuscripts for publication. You will also liaise with NHSE/NHS Foundry to ensure the regular flow of data to UCL and support the preparation of applications to link the VIVALDI study to new datasets as required. The post is funded until 31 March 2023 and further funding may become available. Key Requirements About you: · Comprehensive understanding of the Department of Healths Research Governance Framework including ethics and data protection. · PhD in relevant quantitative discipline (e.g. statistics, bio-informatics, computer science, epidemiology) or relevant working experience. · Data management using software such as Stata and / or R and basic statistical skills. · Working with large research datasets and database management systems. · Working within a data safe haven / Trusted Research Environment. · Applying for research ethical and governance approvals. · Cleaning and linking datasets to produce data extracts. · A methodical and accurate approach to work with attention to detail. · The ability to work without direct supervision; to manage own workload and display good organisational ability. · Strong oral communication skills and the ability to work as part of a team. If you believe you meet the requirements why not come and be part of this unique and exciting opportunity and be part of something where you feel included, valued and proud. 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 £32,217 - £33,958 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. Further Details A job description and person specification 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 Laura Shallcross (l.shallcross@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 27 May 2022 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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