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Position: Senior Biostatistician
Institution: University of Oxford
Location: Oxford, Oxfordshire, United Kingdom
Duties: You will provide support in research design, methodological development, and the analysis and reporting of observational and intervention studies on major public health threats including monkeypox, plague, Lassa fever, Ebola, and COVID-19. You will work with a team of researchers to optimize statistical approaches and to take a leading role in the analysis, reporting and visualisation of data, including the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 clinical database. You will be given opportunity to develop an academic career in international health and will be encouraged to foster further collaborations with scientists across the globe
Requirements: It is essential that you hold a PhD or DPhil in statistics or a closely related discipline together with practical biostatistics and/or clinical trials analytic experience, with a good knowledge of all aspects of clinical research methodologies. You will have an excellent understanding of statistical methods, especially advanced multivariate modelling, generalized mixed modelling, meta-analysis, and advanced survival analysis methodologies. Proven experience in using statistical packages and working with large datasets is also required. You should be able to work collaboratively within a team, be highly motivated and be able to work independently on your own initiative and be able to plan and manage multiple project workloads within given deadlines
   
Text: Senior Biostatistician Pandemic Sciences Institute, New Richards Building, Old Road Campus, Oxford OX2 7LG This is an exciting opportunity for a motivated and skilled Senior Biostatistician to join our team at the recently launched Pandemic Sciences Institute and to develop a career in international health. You will play a pivotal role in the work of our successful, international research group under the leadership of Professor Sir Peter Horby. You will provide support in research design, methodological development, and the analysis and reporting of observational and intervention studies on major public health threats including monkeypox, plague, Lassa fever, Ebola, and COVID-19. You will work with a team of researchers to optimize statistical approaches and to take a leading role in the analysis, reporting and visualisation of data, including the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 clinical database. You will be given opportunity to develop an academic career in international health and will be encouraged to foster further collaborations with scientists across the globe. It is essential that you hold a PhD or DPhil in statistics or a closely related discipline together with practical biostatistics and/or clinical trials analytic experience, with a good knowledge of all aspects of clinical research methodologies. You will have an excellent understanding of statistical methods, especially advanced multivariate modelling, generalized mixed modelling, meta-analysis, and advanced survival analysis methodologies. Proven experience in using statistical packages and working with large datasets is also required. You should be able to work collaboratively within a team, be highly motivated and be able to work independently on your own initiative and be able to plan and manage multiple project workloads within given deadlines. Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. This position is offered full time (part time applications considered, minimum 60 % FTE) on a fixed term contract for 2 years in first instance and is funded by the Bill & Melinda Gates Foundation and the European Union’s Horizon 2020 Research and Innovation Programme. Only applications received before 12 mid-day on Friday 09 December 2022 will be considered. Please quote 161916 on all correspondence. Contact Person : Margarita Monroy Vazquez Vacancy ID : 161916 Contact Phone : 01865287757 Closing Date & Time : 09-Dec-2022 12:00 Pay Scale : STANDARD GRADE 8 Contact Email : recruitment@ndm.ox.ac.uk Salary (£) : £43,414 - £51,805 with a discretionary range to £56,592 per annum Click on the link(s) below to view documents Filesize 161916 - Senior Biostatistician - JD 313.2
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