Clinical Research Fellow in Epidemiology and Real World Evidence

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 & cutting-edge researchers
where you will contribute to medical research by providing specialist clinical
insight and support to our dedicated team.



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’s portfolio.
You will manage your own academic research activities, contribute ideas for
new research projects and research grant applications.



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.



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



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.