Clinical Research Fellow in Health Data Sciences and Real World Evidence

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 desirable.



This is a full-time (part-time at 70% or more FTE will be considered) fixed-
term appointment for 12 months.



The closing date for this position is 12 noon on Friday 3 November 2023. You
will be required to upload a CV and supporting statement as part of your
online application.