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Position: Research Assistant/Research Fellow in Public Health Data Science
Institution: University College London
Department: Institute of Health Informatics
Location: London, United Kingdom
Duties: The Public Health Data Science research group at the Institute of Health Informatics, where this position will be based, aims to foster critical research links between the UCL Institute of Health Informatics and HDR UK London partner universities and brings together an outstanding scientific community; ActEarly; We have a vision to promote a healthier, fairer future for children living in deprived areas through a focus on improving environments that can influence health and life chances; Making this vision real requires substantial and sustainable changes to the broader early life environments that have a lifelong influence on our health, with the award of a major new grant from the UK Prevention Research Partnership (UKPRP); The primary purpose of this job is to contribute to the delivery of the ActEarly mission by developing projects and data resources relevant to ActEarly and to enhance data resources, share expertise and develop reusable tools for research and practice in Tower Hamlets, Bradford and Nationally; The appointee will draw on the wealth of research excellence in population data science, administrative, cohort and survey data brought together in UCL Partner organisations. The post holder will develop expertise and a specialist knowledge of key data resources available through ActEarly, including primary and secondary care datasets linked to other non-health routine data. The post holder will be encouraged to develop a field of research, using statistical and computer science methods for handling large administrative datasets (e.g. linkage methods, phenotyping in longitudinal data, developing small area indicators relevant to public health). The successful candidate will be expected to leverage the multidisciplinary culture that characterises the Health Data Research UK London, and for which UCL is also renowned
Requirements: The post holder will hold an MSc in relevant discipline (e.g. statistics, epidemiology, economics, computer science, health informatics) or related discipline. Or equivalent demonstrable experience of linking local authority health and non-health data systems; The post holder should also have: Advanced skills in at least one statistical software package (e.g. STATA or R); A PhD in relevant discipline or related experience such a working as an information officer or scientist in a local authority public health department, clinical commissioning group or national health agency such as Public Health England or NHS England, handling and linking health and non-health data systems; Strong writing, presenting and explaining technical and/or scientific reports to a wide range of scientific and lay audiences - Strong programming skills in STATA, SPSS, SAS, SQL - Experience of data management, curation, and linkage methods for large, administrative datasets - Experience of information governance, privacy and security issues regarding using confidential NHS health records and administrative datasets in a secure setting - Able to work well in an interdisciplinary team and be a self-starter, taking the initiative to develop and lead the development of infrastructure and research projects, with the support of the wider team
   
Text: Research Assistant / Research Fellow in Public Health Data Science, - Ref:1859335 Click here to go back to search results Apply Now UCL Department / Division Institute of Health Informatics Location of position London Grades 6-7 Hours Full Time Salary (inclusive of London allowance) Grade 6B (£31,479 - £33,194 per annum) Grade 7 (£35,965 - £43,470 per annum) Duties and Responsibilities The Public Health Data Science research group at the Institute of Health Informatics, where this position will be based, aims to foster critical research links between the UCL Institute of Health Informatics and HDR UK London partner universities and brings together an outstanding scientific community. ActEarly We have a vision to promote a healthier, fairer future for children living in deprived areas through a focus on improving environments that can influence health and life chances. Making this vision real requires substantial and sustainable changes to the broader early life environments that have a lifelong influence on our health, with the award of a major new grant from the UK Prevention Research Partnership (UKPRP). The primary purpose of this job is to contribute to the delivery of the ActEarly mission by developing projects and data resources relevant to ActEarly and to enhance data resources, share expertise and develop reusable tools for research and practice in Tower Hamlets, Bradford and Nationally. The appointee will draw on the wealth of research excellence in population data science, administrative, cohort and survey data brought together in UCL Partner organisations. The post holder will develop expertise and a specialist knowledge of key data resources available through ActEarly, including primary and secondary care datasets linked to other non-health routine data. The post holder will be encouraged to develop a field of research, using statistical and computer science methods for handling large administrative datasets (e.g. linkage methods, phenotyping in longitudinal data, developing small area indicators relevant to public health). The successful candidate will be expected to leverage the multidisciplinary culture that characterises the Health Data Research UK London, and for which UCL is also renowned. The post will involve a very close working relationship with the ActEarly London partner at Tower Hamlets, and specifically the director of public health Dr Somen Banerjee. This post is funded for 4 years in the first instance. Available immediately until 1st Feb 2024, initially. Key Requirements The post holder will hold an MSc in relevant discipline (e.g. statistics, epidemiology, economics, computer science, health informatics) or related discipline. Or equivalent demonstrable experience of linking local authority health and non-health data systems. The post holder should also have: - Advanced skills in at least one statistical software package (e.g. STATA or R). - A PhD in relevant discipline or related experience such a working as an information officer or scientist in a local authority public health department, clinical commissioning group or national health agency such as Public Health England or NHS England, handling and linking health and non-health data systems. - Strong writing, presenting and explaining technical and/ or scientific reports to a wide range of scientific and lay audiences - Strong programming skills in STATA, SPSS, SAS, SQL - Experience of data management, curation, and linkage methods for large, administrative datasets - Experience of information governance, privacy and security issues regarding using confidential NHS health records and administrative datasets in a secure setting - Able to work well in an interdisciplinary team and be a self-starter, taking the initiative to develop and lead the development of infrastructure and research projects, with the support of the wider team. 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 £31,479 - £33,194 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. If you have any queries regarding the vacancy please contact Dr Rob Aldridge, (r.aldridge@ucl.ac.uk). For any queries on the application process, please contact the IHI HR team at (ihi.hr@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 2 Mar 2020 Latest time for the submission of applications 23:59 Interview date 19 March 2020 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 & Person Spec Apply Now
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