Salary: Grade 10: £54,765 - £69,331 with a discretionary market supplement range to £74,000 p.a.
The Ludwig Institute for Cancer Research and the Oxford Big Data Institute are seeking to recruit a Senior Group Leader (equivalent to Associate Professor) with research interests in the statistical and computational analysis and integration of genome-scale data with deep patient phenotyping. The postholder will have primary responsibility for the development, management and strategic direction of a significant research group. The Ludwig Institute for Cancer Research will provide significant resources including core funded posts and equipment budgets.
Candidates will be a recognised authority in their field with a strong background in a quantitative discipline, such as mathematics, statistics, engineering or computer science and extensive experience in the analysis of high dimensional data.
Research within the Ludwig Oxford Branch focuses on engaging scientists and clinicians to investigate the challenges of cancer from the risk of disease though to treatment. Our research groups have strong overlapping interests yet maintain diversity, enabling the effective sharing of ideas and technologies. By working together the scientists maximise their research potential.
The Oxford Big Data Institute (BDI) is a new, interdisciplinary research centre. The institute combines researchers from genomics, epidemiology and infectious disease alongside those from computer science, statistics and engineering to develop the field of big data as applied to biomedical research.
Both Institutes are based at the Old Road Campus, the largest campus of the University of Oxfords Medical Sciences Division. The campus houses more than 2000 scientists exploiting the unique collaboration opportunities offered by the biomedical research institutes on campus and the adjacent hospitals. The Medical Sciences Division is a world leader for medical research, teaching and knowledge transfer with unrivalled resources and opportunity for translational research.
Please apply via the University of Oxford online recruitment website.
The closing date for applications is 12.00 noon on Friday 4 January 2019.