-
BACKGROUND The Health and Medical Sciences Programme at Turing delivers research into the theory and methods of AI, statistics, and data analytics underpinning medical and health applications. The Alan Turing
-
applications in ‘big data’ research using traditional statistical approaches and machine learning methods. You will undertake translational research to address health priorities for underserved and minority
-
: Cardiovascular genomic bioinformatics; Genetic statistics; and Functional genomics and multi-omics. Key attributes of the successful applicant include: BSc and PhD in an appropriate field Successful track record
-
. You will hold a relevant post-graduate degree in Epidemiology or a related field together with experience in biostatistics and/or health data sciences. Experience in programming statistical analyses
-
related field together with experience in biostatistics and/or health data sciences. Experience in programming statistical analyses, preferably in R and experience in writing scientific documents, e.g
-
, or a related field. Knowledge of medical statistics and experience analysing large datasets, experience in biostatistics and/or health data sciences and experience in the programming of R packages
-
statistics) 8. Experience with clinical research and understanding of research methodology 9. Experience with data analysis 10. Good interpersonal skills to develop and maintain effective working
-
the Office for National Statistics, and works in close partnership with a large network of partners and leading international research teams . We believe that a diverse and supportive environment
-
team and should be a self-starter with the ability to manage multiple activities, while conducting individual research and disseminating results. Experience in statistically analyzing and interpreting
-
. You have: • A PhD in epidemiology, public health, medical statistics or other relevant quantitative discipline • Significant experience of research in an academic setting • Experience