STATISTICIAN/SENIOR STATISTICIAN (REF. EXP-SER-021)
22 September 2020Traineeships in the Directorate General Statistics: European Central Bank
22 September 2020STATISTICIAN/SENIOR STATISTICIAN (REF. EXP-SER-021)
22 September 2020Traineeships in the Directorate General Statistics: European Central Bank
22 September 2020
Search here for your perfect career
(Closing Date: 19 Oct 2020)
The Centre for Biostatistics, University of Manchester is seeking to appoint to the Biostatistics Collaboration Unit. The purpose of this 3-year post is to deliver biostatistics input to high quality collaborative research across the Faculty of Biology, Medicine and Health.
The post will include research funded by the British Heart Foundation and the Alan Turing Institute to work on causal networks of hypertension. This work will help target diagnostic biomarkers and therapeutic treatments for hypertensive and cardiovascular medicine. The role will involve developing a machine learning approach to causal networks, evaluating the approach using simulated data and investigating biological causal mechanisms underlying hypertension at the molecular level from large-scale genome-wide association studies and quantitative trait locus studies.
You will hold a PhD in Mathematics, Statistics, Machine Learning or a closely related field, with the ability to program in statistical language (for example, R, SAS, Python) and experience of analysing large-scale data. You will have experience of applying statistics in a variety of collaborative, health-related research projects and a broad knowledge of modern statistical methods.