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Joint Post: Principal Researcher in Statistical Genomics and Bioinformatics (BioSS, 65%) and Reader in Statistical Bioinformatics (University of Edinburgh, 35%) We seek a scientist with a strong quantitative background to undertake methodological research in statistical genomics and bioinformatics in collaboration with biological scientists. The aim is to develop and apply computationally intensive modelling and analysis methods to exploit the potential of existing and emerging types of data in genomics and meta-genomics, proteomics and metabolomics. This is a joint post between Biomathematics and Statistics Scotland (BioSS; 65%) and the School of Mathematics, University of Edinburgh (35%). We offer a stimulating working environment (located in adjacent accommodation within the James Clerk Maxwell Building at the King's Buildings campus with a shared common room and excellent facilities) and extensive opportunities to develop collaborations with scientists in both the research institute and university sectors. In addition to the pursuit of independent quantitative research, the successful applicant will lead the Statistical Genomics and Bioinformatics research theme in BioSS, engage in knowledge transfer activities including postgraduate supervision, and deliver and develop teaching at all levels. The post-holder will have separate, but mutually dependent, contracts with each employing organisation. For further details see: http://www.bioss.ac.uk/vacancies/BioSS_UoESoM_PRbio_further_details.pdf Closing date 30 November 2018 Interview date 19 December 2018 This is a permanent appointment. This position will be based within the BioSS group based in the James Clerk Maxwell Building at the University of Edinburgh. Potential applicants may contact Professor Glenn Marion ([log in to unmask], tel +44 (0) 131 650 4898) and Professor Ruth King ([log in to unmask], tel +44 (0) 131 650 5947) in confidence to discuss the post. Please quote reference number BioSS 03-18 in all correspondence. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.