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application closing date: 2024-03-22T12:00:00+00:00
comment: Oxford Population Health (Nuffield Department of Population Health) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. We are seeking to recruit a medical statistician with a good programming background and an interest in methodological issues to work within a Cancer Research UK funded research programme called “Benefits and Risks of Cancer Treatments''. The main focus of the programme is to obtain quantitative information regarding long term outcomes in people diagnosed with cancer. The research uses large datasets from routine data sources to better understand the epidemiology and optimal treatment of a number of different cancers, including Hodgkin lymphoma, non-Hodgkin lymphoma, pre-invasive and invasive breast cancer, and advanced cancers. The successful candidate will work as part of a team that includes statisticians, epidemiologists, oncologists, a surgeon, a radiotherapy physicist and DPhil students. To be considered you will hold a degree at Masters level or equivalent, with substantial numerical content, eg mathematics, statistics, computer science, or a physical science. Experience and practical success in statistical analysis of medical data and programming skills in a statistical language, including Stata or R/S-plus, SAS are essential for this post. Relevant experience in a statistical programming environment and processing and linking very large datasets would be desirable. The post is full-time (although part-time is considered) and fixed term for two years. The closing date for applications is noon on Friday, 22 March 2024 For informal discussion, please contact Sarah Darby: sarah.darby@ndph.ox.ac.uk or Paul McGale: paul.mcgale@ndph.ox.ac.uk You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.
subject: research
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application opening date: 2024-02-14T09:00:00+00:00
further particulars: 171121 - Statistician- JD_ Feb2024
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comment: Oxford Population Health (Nuffield Department of Population Health) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. We are seeking to recruit a medical statistician with a good programming background and an interest in methodological issues to work within a Cancer Research UK funded research programme called “Benefits and Risks of Cancer Treatments''. The main focus of the programme is to obtain quantitative information regarding long term outcomes in people diagnosed with cancer. The research uses large datasets from routine data sources to better understand the epidemiology and optimal treatment of a number of different cancers, including Hodgkin lymphoma, non-Hodgkin lymphoma, pre-invasive and invasive breast cancer, and advanced cancers. The successful candidate will work as part of a team that includes statisticians, epidemiologists, oncologists, a surgeon, a radiotherapy physicist and DPhil students. To be considered you will hold a degree at Masters level or equivalent, with substantial numerical content, eg mathematics, statistics, computer science, or a physical science. Experience and practical success in statistical analysis of medical data and programming skills in a statistical language, including Stata or R/S-plus, SAS are essential for this post. Relevant experience in a statistical programming environment and processing and linking very large datasets would be desirable. The post is full-time (although part-time is considered) and fixed term for two years. The closing date for applications is noon on Friday, 22 March 2024 For informal discussion, please contact Sarah Darby: sarah.darby@ndph.ox.ac.uk or Paul McGale: paul.mcgale@ndph.ox.ac.uk **You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.**
contact: NDPH Recruitment Team

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value: Job description Job title Statistician Division Medical Sciences Division Department Oxford Population Health (Nuffield Department of Population Health, University of Oxford) Location Old Road Campus, Headington, Oxford, OX3 7LF Grade and salary Grade 7: £36,024- £44,263 per annum (If no suitable applicant is forthcoming at grade 7, an appointment on the grade 6 scale (with appropriate adjustment of duties) may be considered. Grade 6: £32,332 - £38,205 per annum) Hours Full time (part-time will be considered) Contract type Fixed-term – 2 years in the first instance Vacancy reference 171121 Additional information Currently funded by Cancer Research UK Statistician - job description, February 2024 1 About Oxford Population Health Oxford Population Health (the Nuffield Department of Population Health) provides an excellent environment for multi-disciplinary research and teaching and for professional and support staff. We work together to answer some of the most important questions about the causes, prevention and treatment of disease. The Department has around 900 staff, students and academic visitors working in a number of world-renowned population health research groups, including the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), the Cancer Epidemiology Unit (CEU), the National Perinatal Epidemiology Unit (NPEU) and other groups working on public health, health economics, ethics and health record linkage. It is also a key partner in the Oxford University’s Big Data Institute. In the 2021 Research Excellence Framework (REF), 96% of the research submitted to Unit of Assessment 2: Public Health, Health Services and Primary Care, was ranked either 4* (world-leading in terms of originality, significance and rigour) or 3* (internationally excellent in terms of originality, significance and rigour). This comprised research from Oxford Population Health and research from the Nuffield Department of Primary Care Health Sciences. We scored particularly we…
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