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About the role

We are looking for a Postdoctoral Research Associate to develop and apply new statistical methods to adjust for selection bias in genetic association studies.  The post is funded by the Medical Research Council for 3 years.

The project will build on our recent work on genome-wide association studies of disease prognosis and survival, in which study subjects are selected to have existing disease, possibly introducing bias into the analysis.  You will take a lead role in developing novel methods to avoid such types of bias, and in applying these methods to data held by academic collaborators.  You will implement and document new methods in software, and evaluate their performance using computer simulations.

You will work on genetic studies of cardiovascular disease,idiopathic pulmonary fibrosis and abdominal aortic aneurysm, to discover genes that affect the prognosis and survival of patients, suggesting new ways to treat these diseases.  You will interpret the results and present the findings to collaborators.  You will prepare manuscripts for publication and present results at local and international conferences.

The Genetic Epidemiology Research Group is an internationally leading grouping of approximately 30 staff and students at all career stages. Our group undertakes large-scale genomic epidemiology research to advance drug development and precision medicine, and develops statistical methods to improve the analysis of these studies.  Our group is highly collegial, has a strong track record of securing research funding, and offers excellent opportunities for career development.

About you

You will have, or will shortly be awarded, a PhD in statistics, epidemiology or a related subject, and will have peer-reviewed research outputs either published or in press. You will have strong computing skills including demonstrated competency in scientific programming in a statistical or compiled language.  You will have a keen interest in developing statistical methods to improve healthcare research, and will be adept at communicating technical concepts to non-specialist audiences including clinicians.  Experience or knowledge of genome-wide association studies would be an advantage, as would be an understanding of Mendelian Randomisation.

 

Additional information

Informal queries are welcome and can be made Professor Frank Dudbridge, frank.dudbridge@leicester.ac.uk

Leicester is a leading University committed to international excellence, world-changing research and high quality, inspirational teaching. We are strongly committed to inclusivity, promoting equality and celebrating diversity among our staff and students. You will develop your career in a supportive and collaborative academic environment in one of the world’s leading research-intensive universities; elite in the excellence of our research, yet distinctive for the genuine synergy between our research and teaching.

In return for your hard work, we offer a working environment that is committed to inclusivity, through promoting equality and valuing diversity. We offer a competitive salary package with excellent pension scheme and a generous annual leave allowance. Located close to Leicester city centre, our award winning campus benefits from a wide range of cafes, a fully equipped sports centre and nursery facilities. Further information regarding our extensive range of staff benefits is available here.