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comment: We have an exciting opportunity for a Postdoctoral Researcher in Real World Evidence to join our Pharmaco- and Device epidemiology research group led by Professor Daniel Prieto-Alhambra at the Botnar Research Centre, NDORMS, University of Oxford. The NDORMS Pharmaco- and Device epidemiology research group is involved in a number of national and international studies exploring the conditions of use (adherence, compliance, off and on-label use) of a number of licensed drugs, devices, and vaccines for the prevention and treatment of human disease in 'real world' (routine practice) conditions. As a Postdoctoral Researcher in Real World Evidence you will be leading or co-leading real world evidence studies, analysing real world health data mapped to the OMOP common data model and write study reports and scientific manuscripts. You will be responsible for development of analysis plans, protocols, ethical (and similar panel) submissions, governance and regulatory submissions as required for ongoing and future studies. You will carry out collaborative projects with colleagues in partner institutions, and research groups (both in public and private sector) and manage your own academic research. You will hold a Doctoral (or be near completion) degree in epidemiology, biostatistics, real world evidence, health data sciences, or a related field. You will have experience in the use of R for statistical analysis together with experience of analysing real world data. Good track record of peer reviewed scientific publications, excellent team working and communication skills are also essential. Experience in the analysis and/or interpretation of OMOP-mapped data and experience designing and conducting cohort, self-controlled, and similar studies are desirable. This is a full-time fixed-term appointment for 2 years. The closing date for this position is 12 noon on 1 July 2024. You will be required to upload a CV and supporting statement as part of your online application.
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comment: We have an exciting opportunity for a Postdoctoral Researcher in Real World Evidence to join our Pharmaco- and Device epidemiology research group led by Professor Daniel Prieto-Alhambra at the Botnar Research Centre, NDORMS, University of Oxford. The NDORMS Pharmaco- and Device epidemiology research group is involved in a number of national and international studies exploring the conditions of use (adherence, compliance, off and on-label use) of a number of licensed drugs, devices, and vaccines for the prevention and treatment of human disease in 'real world' (routine practice) conditions. As a Postdoctoral Researcher in Real World Evidence you will be leading or co- leading real world evidence studies, analysing real world health data mapped to the OMOP common data model and write study reports and scientific manuscripts. You will be responsible for development of analysis plans, protocols, ethical (and similar panel) submissions, governance and regulatory submissions as required for ongoing and future studies. You will carry out collaborative projects with colleagues in partner institutions, and research groups (both in public and private sector) and manage your own academic research. You will hold a Doctoral (or be near completion) degree in epidemiology, biostatistics, real world evidence, health data sciences, or a related field. You will have experience in the use of R for statistical analysis together with experience of analysing real world data. Good track record of peer reviewed scientific publications, excellent team working and communication skills are also essential. Experience in the analysis and/or interpretation of OMOP-mapped data and experience designing and conducting cohort, self- controlled, and similar studies are desirable. This is a full-time fixed-term appointment for 2 years. The closing date for this position is 12 noon on 1 July 2024. You will be required to upload a CV and supporting statement as part of your online application.
spatial: Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, Windmill Road, Oxford, OX3 7LD
further particulars: 173456_JD_final
application closing date: 2024-07-01T12:00:00+01:00
organization part: Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
application opening date: 2024-06-04T08:15:00+01:00
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salary: Standard Grade 7: £36,024 - £44,263 p.a.
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value: Job Description _________________________________________________________________________ Summary Job title Postdoctoral Researcher in Real World Evidence Division Medical Sciences Division Department Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Location Botnar Research Centre, Windmill Road, Oxford, OX3 7LD Grade and salary Grade 7: £36,024-£44,263 per annum Hours Full time Contract type Fixed-term (2 years) Reporting to Dr Annika Jödicke Vacancy reference 173456 The role Project details The NDORMS Pharmaco- and Device epidemiology research group is involved in a number of national and international studies exploring the conditions of use (adherence, compliance, off and on-label use) of a number of licensed drugs, devices, and vaccines for the prevention and treatment of human disease in 'real world' (routine practice) conditions. We collaborate with researchers from around the globe to improve our understanding of the safety and effectiveness of new and long-licensed medications and devices for the prevention and treatment of arthritis, osteoporosis, COVID-19, cancer, and other conditions. We are also studying both the benefits and the potential risks of the use of such health technologies in special subgroups of the population under-represented in previous trials. The Pharmacoepidemiology theme led by Prof Prieto-Alhambra has four key areas of research: a) To study the patterns and to characterize the use of vaccines, medicines and surgeries in real world (routinely collected) data. b) To compare the (beneficial and harmful) effects of vaccines, medicines and surgeries when used in actual practice conditions. c) To characterize the presentation and treatment of multiple conditions using routinely collected health data (electronic medical records and health claims) globally. d) To test and improve the existing methods for the study of the safety and effectiveness of drugs, vaccines, and medical devices using observational data. Th…
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