The Global Health Trials Unit at LSTM is looking for a medical statistician to join us working on a range of clinical trials. The appointee will join a highly motivated and competitive multidisciplinary team addressing high-burden diseases, including among others HIV, malaria, tuberculosis, neglected and emerging tropical diseases and respiratory infections in low and middle-income countries. The focus is on phase II\/III and large-scale global health trials which range from new diagnostics, treatments and vaccines to strategies of health care delivery.<\/p>\n
The successful candidate will contribute to the design of trials and quality observational studies, support the development and deployment of statistical tools applicable to a broad range of clinical and laboratory-based research and conduct analyses of data. You will operate in a multi-disciplinary team comprising clinical and basic scientists with the support of professors and senior lecturers in statistics, mathematicians and epidemiologists based at LSTM and partner institutions worldwide.<\/p>\n
Salary \u00a335,326 – \u00a340,927 per annum, full time contract (ends Dec 2023)<\/p>\n
For any informal enquiries, please contact Professor Duolao Wang on\u00a0duolao.wang@lstmed.ac.uk<\/a>\u00a0or Professor Maia Lesosky, on\u00a0maia.lesosky@lstmed.ac.uk<\/a><\/p>\n <\/p>\n Closing Date:\u00a0<\/strong>31st\u00a0January 2022 at 10.00 am\u00a0 \u00a0<\/strong><\/p>\n <\/p>\n Link to further information & job details:\u00a0https:\/\/www.lstmed.ac.uk\/medical-statistician-3<\/a><\/p>","protected":false},"excerpt":{"rendered":" The Global Health Trials Unit at LSTM is looking for a medical statistician to join us working on a range of clinical trials. The appointee will join a highly motivated and competitive multidisciplinary team addressing high-burden diseases, including among others HIV, malaria, tuberculosis, neglected and emerging tropical diseases and respiratory infections in low and middle-income Read more about Liverpool School of Tropical Medicine: Medical Statistician – 64607<\/span>[…]<\/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\/1791"}],"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=1791"}],"version-history":[{"count":1,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/posts\/1791\/revisions"}],"predecessor-version":[{"id":1792,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/posts\/1791\/revisions\/1792"}],"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=1791"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/categories?post=1791"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/tags?post=1791"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}