Reader/Professor in Biostatistics and Computational Biology (non-clinical) in Imperial College

We are looking for a candidate with vision and drive, with an established international reputation and a well-attested record of high impact research and expertise in this field of research. The appointee will have a proven track record of grant awards and high-impact publications, with particular emphasis on the analysis of complex, high-dimensional data including omics data.


The appointee 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 medical staff. Evidence of management and administration experience would be desirable.

This is a full time, open ended post.

Further details and a full job specification can be found at https://www4.ad.ic.ac.uk/OA_HTML/OA.jsp?page=/oracle/apps/irc/candidateSelfService/webui/VisVacDispPG&akRegionApplicationId=821&transactionid=1210886562&retainAM=Y&addBreadCrumb=S&p_svid=42038&p_spid=1633942&oapc=8&oas=xSQ-EF-Fzj0guSuuxv4P2A..

Informal inquiries about the post can be directed to Professor Paul Elliott (p.elliott@imperial.ac.uk).

Our preferred method of application is online via our website  http://www3.imperial.ac.uk/employment.


Please complete and upload an application form as directed.

Reference number: SM194-13

Closing date: 27th Oct 13