Based within the Nuffield Department of Population Health, the Cancer Epidemiology Unit (CEU) seeks to provide large-scale reliable evidence on the relationships between common exposures and common conditions of public health importance such as prostate, breast, and colorectal cancers, cardiovascular disease and bone health.
Within the CEU, the Key/Travis Group’s research is primarily based on large prospective epidemiological studies on hormones, nutritional, molecular and genetic markers in relation to prostate and breast cancer and other common non-communicable diseases. As a Medical Statistician you will work as part of this research team and in close collaboration with epidemiologists designing and implementing appropriate methods for the analysis of data arising from research projects on risk factors for common non-communicable diseases, in particular cancer. Your responsibilities will include planning and implementing statistical analysis/programming on data from studies in the Cancer Epidemiology Unit (including cohort studies, case-control studies, individual participant meta-analyses and Mendelian randomization analyses), database management and the preparation of datasets for analyses. You will also prepare tables and figures, reports summarizing datasets and results, contribute to reports and articles for publication in peer-reviewed journals, and prepare other data and analysis-related documents as required.
To be considered, you will hold a bachelor’s degree in mathematics, statistics or other relevant subject and a postgraduate degree in a statistics-related subject or epidemiology, or have equivalent experience. You will also have a demonstrated understanding and experience of a range of statistical concepts and techniques (e.g. linear, logistic and Cox regression models), programming skills in a statistical language, such as STATA, R/S-PLUS or SAS, and good organizational, time management and communication skills, with an ability to work to tight deadlines calmly and efficiently.
Informal enquiries should be addressed to Associate Professor Ruth Travis (email@example.com).
The position is full time (part time considered) and fixed term for 2 years.
The closing date for applications is noon on 13th November 2020.