Lecturer in Biostatistics (non-clinical), Imperial College London, Feb 2018

Do you have substantial experience in data analysis and modelling, both in theoretical and practical aspects? Do you intend to be a world leader in biostatistics and provide overall leadership and direction of methodological and biostatistical work? If so, this exciting and challenging opportunity could be the ideal next step in your career.

Imperial College are seeking to appoint a Lecturer in Biostatistics to join a vibrant and successful research department with a strong tradition of biostatistical and epidemiological research, and outstanding epidemiological, cohort and computing resources.

The School of Public Health (SPH) is unique in combining world-class research at local, national and international level with translational work within the Academic Health Science Centre in the Imperial College Healthcare Trust and translates science and epidemiology into policy, health education and primary care. Together with its research, teaching and evidence-led policy work, the School of Public Health aims to address the major public health challenges of the twenty-first century.

Would you like to be part of the School and undertake several high-profile projects involving analysis of large, complex data? These include:

• analysis of spatio-temporal variation in disease occurrence
• disease mapping, through the UK Small Area Health Statistics Unit within the Department of Epidemiology & Biostatistics of the School of Public Health
• leading on the generation and analysis of complex health, omics and other data through a variety of UK and European funded projects.

As an outstanding academic expert in biostatistics, you will have vision and drive, will have started to develop an international reputation and will have a good track research in the field. You will have also a proven track record of grant awards and publications, with particular emphasis on the analysis of complex, high-dimensional data such as omics data and spatial statistics. 

You will be expected to develop/lead an internationally excellent research programme in biostatistics and its application to epidemiology. You will also help foster close working relationships with the Department of Mathematics.

Essential requirements

To excel in this role, you must have a higher degree in a relevant research area (MD, MS, PhD or equivalent); experience of training undergraduate and postgraduate students; experience of supervision of higher degrees (PhD, MD(Res)) and junior academic and research staff.