The Big Data Institute (BDI) is a new, interdisciplinary research centre that will focus on the analysis of large, complex, heterogeneous data sets for research into the causes and consequences, prevention and treatment of disease. Research will be conducted in 4 general themes: genomics, population health, infectious disease surveillance, and methodology (including informatics, statistics, and engineering). Big Data methods could transform the scale (breadth, depth and duration) and efficiency (data accumulation, storage, processing and dissemination) of large-scale clinical research. The work of the BDI requires people and projects that span traditional departmental boundaries and scientific disciplines, supported by technical resources to handle the vast quantities of data they generate.
The BDI will be housed in a new building on the Oxford University Old Road Campus and will provide core facilities in high performance computing with high-speed connectivity to an off-site Shared Data Centre.
Under the leadership of Professor Gil McVean (Director) and Professor Martin Landray (Deputy Director), the BDI will comprise around 350 researchers (approx. 30 research groups) drawn from a wide range of departments and will form an analytical hub, deeply connected to the wider experimental and clinical community in Oxford and beyond. The BDI will require people who work on data acquisition, curation, computation and analysis pipelines (either in specific medical domains or on more general methodological and technical innovations), as well as those with expertise in relevant areas of ethics, governance and policy. There are opportunities for joint recruitment with departments from across the range of scientific areas.
A portfolio of career development activities (visitor programmes, workshops, conferences) at post-graduate, and post-doctoral levels is being developed under the direction of Professor Cecilia Lindgren. These will build on relevant modules and courses from across the University.