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We're looking for a highly qualified and dedicated Senior researcher in Clinical Epidemiology and Real World Evidence to join our team.

We are seeking to appoint a highly qualified and dedicated Senior Researcher in Clinical Epidemiology and Real World Evidence to join the Health Data Sciences research group 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 & cutting-edge researchers where you will contribute to medical research by providing highly specialist insight and support to our dedicated team.

As a Senior Researcher in Clinical Epidemiology and Real World Evidence you will generate clinical descriptions based on existing medical knowledge, handbooks and/or online resources while maintaining quality control of this process. You will lead studies on the natural history and/or epidemiology of infectious diseases, inflammatory conditions, metabolic disease and cancer using real world data. You will work within the multidisciplinary team to deliver the strategic aims of the group and the delivery of the trial portfolio of studies according to time and target, you manage your own academic research and administrative activities and contribute ideas for new research projects and income generation.

You will have a degree in Medicine together with A PhD (completed or close to completion) in Epidemiology, Public Health, Biostatistics, Data Sciences, or a related field. You will be able 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, epidemiological 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 evidence of previous participation in research are desirable.

This is a full-time fixed-term appointment for 2 years.

The closing date for this position is 12 noon on 15/07/2024. You will be required to upload a CV and supporting statement as part of your online application.

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