Characterization of monoallelic regulation variation and aneuploidy associated dosage compensation mechanisms in human pre-implantation embryos


We are developing and applying computational and experimental methods to help decipher the underlying reason why some human embryos undergo spontaneous developmental arrest. Using cutting-edge single-cell (epi)genomic and transcriptomic tools, we hope to provide new insights into the establishment of monoallelic gene regulation (genomic imprinting, X-inactivation and eQTLs) in mediating embryo development and in utero growth.

We are looking for an enthusiastic and ambitious student to develop and apply sophisticated data- mining methods and computational models at the interface of biology, mathematics and computer science. The project is a joint Norwich Research Park venture between the groups of David Monk at the Biomedical Research Centre, University of East Anglia and Wilfried Haerty at the Earlham Institute. Though this project is primarily computational, we have extensive wet lab facilities and thus it is possible to experimentally validate any computational predictions emerging from this project.

This candidate will be put forward for selection in the Norwich Research Park (NRP)  Doctoral Training Partnership program. Successful candidates will receive a rich and diverse training in bioinformatics techniques related to transcriptomics and human development. In addition to the generic skills training that is provided through the UEA/EI PhD NRPDTP programme, the student will be supported by an excellent infrastructure and will work closely with experts on the biology and next generation sequencing and (epi)genomics. This diverse and stimulating environment will allow a creative and talented student to develop key skills in preparation for a successful career in research and industry.