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comment: We are seeking to appoint a highly qualified and dedicated Clinical Research Fellow in Health Data Sciences and Real World Evidence to join the Health Data Sciences research groups led by Professor Daniel Prieto-Alhambra at the Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), Oxford. You will join an outstanding, multi-disciplinary and friendly Group of motivated and cutting-edge researchers and you will contribute to clinical research by providing specialist clinical insight and support to our dedicated team. As a Clinical Research Fellow in Health Data Sciences and Real World Evidence you will be leading the clinical phenotyping of exposures (e.g. use of a medicinal product or undergoing a specific surgical procedure) and outcomes (e.g. health events) in real world data from the UK and international data sources. You will generate clinical descriptions based on existing medical knowledge, handbooks and/or online resources while maintaining quality control of this process at the same time. You will write research papers for submission to peer-reviewed journals, reports for submission to funders, and abstracts for submission to national and international conferences, participate in group seminars and other departmental activities and provide clinical advice to members of the multi-disciplinary team regarding research studies on the group’s portfolio. You will have a degree in Medicine and a Full General Medical Council Registration. You will be able to write clinical descriptions based on existing medical knowledge together with good ability to write up study reports, manuscripts, and abstracts. Knowledge of R (or other statistical package) programming, interest in academic clinical or health data science research and strong attention to detail are essential. Understanding of real world data governance and methods, knowledge of the OMOP Common Data Model and a good track record of publications are desir…
further particulars: JD_E63_168757
contact: HR Team, NDORMS
formal organization: University of Oxford
type: Vacancy
subject: research
spatial: Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, Windmill Road, Oxford, OX3 7LD
organization part: Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
application opening date: 2023-10-13T09:00:00+01:00
application closing date: 2023-11-03T12:00:00+00:00
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value: _________________________________________________________________________ Summary Job title Clinical Research Fellow in Health Data Sciences and Real World Evidence Division Medical Sciences Division Department Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Location Botnar Research Centre, Old Road, Headington, Oxford, OX3 7LD Grade and Salary Grade E63: £29,384 to £34,012 per annum Hours Full time (70% or more FTE could be discussed) Contract type Fixed term for 1 year in first instance Reporting to Dr Albert Prats-Uribe Vacancy reference 168757 The role Project details The Health Data Sciences section at the Botnar Research Centre 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, infectious disease/s, 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. Our research team 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, va…
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