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Xinxue Liu
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Wellcome Trust Centre Clinical Vaccinology and Tropical Medicine
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Oxford Vaccine Group
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176550 Statistician Data Scientist Oxford Vaccine Group Job Description
value: _________________________________________________________________________ Job description and selection criteria Job title Statistician / Data Scientist Division Medical Sciences Department Paediatrics Location Oxford Vaccine Group, CCVTM, Churchill Hospital, Oxford Grade and salary Grade 6: £34,982 - £40,855 per annum (with a discretionary range to £44,382 per annum) Hours Full-time (Flexible working arrangements may be considered) Contract type Fixed-term (2 years or until 30 September 2027, whichever is earliest) Reporting to Senior Management including: Prof Merryn Voysey, Prof Daniel O’Connor and Prof Xinxue Liu Vacancy reference 176550 Additional information Applications are to be made online, please see the advert for the closing date. Principal Investigator Prof Merryn Voysey, Prof Daniel O’Connor and Prof Xinxue Liu / supervisor Project team Oxford Vaccine Group Project web site http://www.ovg.ox.ac.uk/ Funding partner The funds supporting this research project are provided by LassaCEPI The role The post holder will join a large group of researchers at the Oxford Vaccine Group, conducting major national and international studies of vaccines for children and adults. We seek a self-motived Statistician/Data Scientist/Bioinformatician with an interest in vaccines or infectious diseases, to join our large team of bioinformaticians, epidemiologists and statisticians. This position will suit a candidate with background in either medical statistics, health data science, bioinformatics, or computational biology, with projects adjusted to suit the skills and research focus of the applicant. We have multiple projects available supported by a current team of 12 people. Projects range from early phase clinical trials of new vaccines to multi-omics approaches to elucidating protective immune responses to vaccines. Applicants at grade 6 would be expected to have a Masters degree in one of the above disciplines, and training would be provided to expand your skills and exp…
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application closing date: 2025-03-14T12:00:00+00:00
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comment: **About the role ** We have an exciting opportunity to join the Oxford Vaccine Group in the Department of Paediatrics as our Statistician/ Data Scientist. You will play an important role in applying cutting-edge methodologies to analyse data generated from clinical trials and observational studies. This position offers an excellent training opportunity, with assignments tailored to your skills and research interests. Projects may include designing and analysing clinical trials, modelling large datasets from epidemiological studies, or conducting bioinformatic analyses using omics data. You will be responsible for day-to-day data analysis and contributing to relevant sections of manuscripts. You will be working in a growing department within the Medical Sciences Division. The Department of Paediatrics is a world leader in child health research and hosts internationally renowned research programmes in drug development, gastroenterology, haematology, HIV, immunology, neuroimaging, neuromuscular diseases and vaccinology. Specifically, you will join the Oxford Vaccine Group Quantitative Research team comprising more than 15 researchers with expertise in statistics, epidemiology, and bioinformatics. The quantitative research team is dedicated to advancing global health through innovative quantitative methods. We work at the forefront of clinical trials and observational studies, collaborating with leading national and international organisations to shape vaccine strategies and public health policies. Our team played a pivotal role in the design and analysis of the landmark ChAdOx1 nCoV-19 (AZD1222) trial, contributing to its World Health Organization Emergency Use Listing (EUL) and emergency authorisations worldwide. If you are passionate about conducting high-impact research that drives meaningful change, we encourage you to apply. **_We have multiple vacancies available and invite you to apply for the position that best matches your skills and interests. Should the hiri…
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further particulars: 176550 Statistician Data Scientist Oxford Vaccine Group Job Description
notation: 176550
salary: Standard Grade 6: 34,982 - 40,855 with a discretionary range to £44,382 per annum (pro-rata)
formal organization: University of Oxford
comment: About the role We have an exciting opportunity to join the Oxford Vaccine Group in the Department of Paediatrics as our Statistician/ Data Scientist. You will play an important role in applying cutting-edge methodologies to analyse data generated from clinical trials and observational studies. This position offers an excellent training opportunity, with assignments tailored to your skills and research interests. Projects may include designing and analysing clinical trials, modelling large datasets from epidemiological studies, or conducting bioinformatic analyses using omics data. You will be responsible for day-to-day data analysis and contributing to relevant sections of manuscripts. You will be working in a growing department within the Medical Sciences Division. The Department of Paediatrics is a world leader in child health research and hosts internationally renowned research programmes in drug development, gastroenterology, haematology, HIV, immunology, neuroimaging, neuromuscular diseases and vaccinology. Specifically, you will join the Oxford Vaccine Group Quantitative Research team comprising more than 15 researchers with expertise in statistics, epidemiology, and bioinformatics. The quantitative research team is dedicated to advancing global health through innovative quantitative methods. We work at the forefront of clinical trials and observational studies, collaborating with leading national and international organisations to shape vaccine strategies and public health policies. Our team played a pivotal role in the design and analysis of the landmark ChAdOx1 nCoV-19 (AZD1222) trial, contributing to its World Health Organization Emergency Use Listing (EUL) and emergency authorisations worldwide. If you are passionate about conducting high-impact research that drives meaningful change, we encourage you to apply. We have multiple vacancies available and invite you to apply for the position that best matches your skills and interests. Should the hiring panel…
contact: Xinxue Liu
application opening date: 2025-02-14T09:00:00+00:00
type: Vacancy

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