Clinical Research Fellow in Epidemiology and Real World Evidence

<div xmlns="http://www.w3.org/1999/xhtml"> <p></p><p>We are seeking to appoint a highly qualified and dedicated Clinical Research Fellow in Epidemiology 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 &amp; cutting-edge researchers where you will contribute to medical research by providing specialist clinical insight and support to our dedicated team.</p><br> <p>As a Clinical Research Fellow in 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 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&#8217;s portfolio. You will manage your own academic research activities, contribute ideas for new research projects and research grant applications.</p><br> <p>You will have a degree in Medicine and you will be registered with General Medical Council (GMC) (or currently be in the process of obtaining GMC 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, 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 a good track record of publications are desirable.</p><br> <p>This is a full-time fixed-term appointment for 2 years.</p><br> <p>The closing date for this position is 12 noon on 10 January 2024. You will be required to upload a CV and supporting statement as part of your online application.</p> </div>