{"id":1825,"date":"2022-02-15T13:02:19","date_gmt":"2022-02-15T11:02:19","guid":{"rendered":"http:\/\/biostatistics.med.uoa.gr\/?p=1825"},"modified":"2022-02-15T13:02:19","modified_gmt":"2022-02-15T11:02:19","slug":"job-fully-funded-phd-studentship-in-statistics-data-science-ucl-great-ormond-street-institute-of-child-health","status":"publish","type":"post","link":"https:\/\/biostatistics.med.uoa.gr\/en\/job-fully-funded-phd-studentship-in-statistics-data-science-ucl-great-ormond-street-institute-of-child-health\/","title":{"rendered":"JOB: Fully funded PhD Studentship in Statistics \/ Data Science, UCL Great Ormond Street Institute of Child Health"},"content":{"rendered":"<p>Closing date 7th March 2022<\/p>\n<h1>PhD studentship and Research Assistant in Statistics \/ Data Science (Grade 6)<\/h1>\n<p>UCL Great Ormond Street Institute of Child Health (remote working will be considered)<\/p>\n<p>Salary (inclusive of London allowance): \u00a332,217 per annum, plus PhD tuition fees are fully paid<\/p>\n<p>&nbsp;<\/p>\n<p>We seek an ambitious researcher who would like to study for a PhD on data linkage, within the Child Health Informatics Group at UCL ICH. This post would be suitable for a highly skilled quantitative researcher who wants to address the challenges of using linked data to inform policy, service development, and\/or methodological advances.<\/p>\n<p>&nbsp;<\/p>\n<p>The successful applicant will lead a Wellcome Trust funded study to develop and evaluate methods for linking and analysing multiple longitudinal population studies and administrative data. This will contribute to the <a href=\"https:\/\/ukllc.ac.uk\/\">UK Longitudinal Linkage Collaboration<\/a> (part of the National Core Studies for COVID-19 research), linkage between health and education records within the <a href=\"https:\/\/www.ucl.ac.uk\/child-health\/research\/population-policy-and-practice-research-and-teaching-department\/cenb-clinical-20\">ECHILD<\/a> (Education and Child Health Insights from Linked Data) research database, and will involve collaboration with data scientists at the Ministry of Justice.<\/p>\n<p>&nbsp;<\/p>\n<p>Key requirements: MSc in relevant discipline, or equivalent experience; experience in handling large datasets; keen interest in data linkage and knowledge of linkage processes; experience of statistical methods and methods for handling missing data.<\/p>\n<p>This post is available immediately and funded for 36 months in the first instance.\u00a0For more details and to apply, <a href=\"https:\/\/atsv7.wcn.co.uk\/search_engine\/jobs.cgi?SID=amNvZGU9MTg4MjEyNSZ2dF90ZW1wbGF0ZT05NjUmb3duZXI9NTA0MTE3OCZvd25lcnR5cGU9ZmFpciZicmFuZF9pZD0wJmpvYl9yZWZfY29kZT0xODgyMTI1JnBvc3RpbmdfY29kZT0yMjQ=\">click here<\/a>.<\/p>\n<p>For any informal queries, please contact <a href=\"mailto:k.harron@ucl.ac.uk\">k.harron@ucl.ac.uk<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/www.ucl.ac.uk\/ich\/research\/population-policy-practice\/People\/harron-katie\">Dr Katie Harron<\/a><\/p>\n<p>Associate Professor<\/p>\n<p><a href=\"https:\/\/www.ucl.ac.uk\/child-health\/research\/population-policy-and-practice\/child-health-informatics-group\">Child Health Informatics Group<\/a><\/p>\n<p>Great Ormond Street Institute of Child Health \/ Institute of Health Informatics<\/p>\n<p>University College London<\/p>\n<p>0207 905 2220 (UCL GOS ICH) \/ 0203 549 5576 (UCL-IHI)<\/p>","protected":false},"excerpt":{"rendered":"<p>Closing date 7th March 2022 PhD studentship and Research Assistant in Statistics \/ Data Science (Grade 6) UCL Great Ormond Street Institute of Child Health (remote working will be considered) Salary (inclusive of London allowance): \u00a332,217 per annum, plus PhD tuition fees are fully paid &nbsp; We seek an ambitious researcher who would like to <a href=\"https:\/\/biostatistics.med.uoa.gr\/en\/job-fully-funded-phd-studentship-in-statistics-data-science-ucl-great-ormond-street-institute-of-child-health\/\" rel=\"nofollow\"><span class=\"sr-only\">Read more about JOB: Fully funded PhD Studentship in Statistics \/ Data Science, UCL Great Ormond Street Institute of Child Health<\/span>[&hellip;]<\/a><\/p>","protected":false},"author":4,"featured_media":1057,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,15],"tags":[],"_links":{"self":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/posts\/1825"}],"collection":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/comments?post=1825"}],"version-history":[{"count":1,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/posts\/1825\/revisions"}],"predecessor-version":[{"id":1826,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/posts\/1825\/revisions\/1826"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/media\/1057"}],"wp:attachment":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/media?parent=1825"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/categories?post=1825"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/tags?post=1825"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}