Senior Medical Statistician / Health Data Scientist (Cardiovascular Precision Medicine)

(If no suitable candidate is found at Grade 8, an appointment at Grade 7 may
be made with appropriate adjustment in responsibilities)





Oxford Population Health (Nuffield Department of Population Health, University
of Oxford) is a world-renowned centre for population health research and
fosters an exceptional interdisciplinary research environment in which to
undertake high impact research.





An exciting opportunity has arisen for a Senior Medical Statistician/Health
Data Scientist to join Professor Jemma Hopewell’s Group, an established multi-
disciplinary team that focusses on cardiovascular precision medicine research
by capitalising on large-scale epidemiological, genetic and multi-omic data
from observational and randomized studies in order to identify the causes,
consequences and treatments for coronary disease, stroke and arrhythmias, and
to determine factors that may help to match patients to the most appropriate
therapy. Working with an outstanding team of researchers and collaborators on
research funded by the NIHR Oxford Biomedical Research Centre (Cardiovascular
Theme), the successful candidate will have statistical responsibilities for
cutting-edge big data projects using state-of-the-art techniques (e.g.
advanced Mendelian randomization, polygenic risk scores, PheWAS, machine
learning methods) to provide translational insights into drug development and
repurposing.





To be considered, you will have a higher degree (PhD or MSc + substantial
relevant work experience) in statistics/health data science/genetic
epidemiology or similar. In addition to a strong interest in arrhythmia and
cardiovascular research, you will have proven experience of handling large-
scale multimodal data (e.g. phenotypic, genomic, proteomic, imaging data),
successfully planning and undertaking complex analyses, an excellent
understanding of a range of relevant statistical concepts and techniques as
well as outstanding programming skills.





You will be required to upload a CV and supporting statement as part of your
online application. The supporting statement should include a cover letter and
should also clearly describe how you meet each of the selection criteria
listed in the job description.





The position will be based at the Big Data Institute, at the University of
Oxford, Oxford, UK.





The post is full time and fixed term for 3 years in the first instance. The
closing date for applications is noon on Thursday 12 October 2023.