Professor Simon Tavaré (CR-UK Cambridge Research Institute; Cambridge Computational Biology Institute)
Dr Jeffrey Barrett (Wellcome Trust Sanger Institute)
Professor Richard Durbin (Wellcome Trust Sanger Institute)
Dr Gos Micklem (Department of Genetics; Cambridge Systems Biology Centre; Cambridge Computational Biology Institute)
Dr Chris Wallace (Department of Medicine & MRC Biostatistics Unit)
Dr Marc Tischkowitz (Department of Medical Genetics)
The programme is designed to train independent, innovative scientists who can develop and use quantitative techniques to advance genomic medical research. Like all PhDs, there are annual assessments to monitor progress and determine progression to the next stage. Successful progress throughout the first year culminates in the choice of the three-year research project that will allow each student to develop and execute a coherent body of research that combines quantitative methods with direct involvement in medical research.
Modern genomics promises not only to help uncover the molecular bases of disease but also to have a major impact on health care through translation of advances in techniques, computation and knowledge into clinical trials and clinical practice. Quantitative analysis is at the heart of this goal, and there is a pressing requirement for researchers with thorough mathematical and statistical expertise, in addition to training in medical genetics and informatics.
This PhD programme has been established as a collaboration between the University and the Wellcome Trust Sanger Institute (WTSI). The programme will provide the opportunity to work at the interface between the mathematical and computational sciences, and genome-scale and translational medical research. We expect that successful applicants will have strong mathematical, statistical and computational skills, and may include exceptional biologists. They will develop quantitative techniques and theoretical approaches and apply them to practical problems in both translational and basic biomedical research. The programme follows a “1 + 3″ model, comprising a tailored first year of taught modules and research rotations, followed by a three-year research project. From 2017, students will have the opportunity to obtain an MRes after the first year.
All students will have two supervisors, one from a mathematics, engineering or other quantitative science background, and the second from a genetics or genomics/biomedical background.
Successful applicants will have the opportunity to undertake research that draws on the unique strengths of the Cambridge region: the successful synergies of NHS and University in translational medical research; genetics, computational and genomics research at the University and the Wellcome Trust Sanger Institute; and the University’s outstanding research and training base in the mathematical sciences.