Computational Science Research Assistant/Associate, University of Cambridge, UK


Location: University of Cambridge, Department of Physiology, Development and Neuroscience 

Salary range: £25,298 - £38,183 

The newly established Boroviak lab is looking to recruit a highly enthusiastic individual to carry out ground-breaking research on primate embryogenesis. Recent advances in the field have shown that early human and non-human primate development substantially differs from the rodent paradigm. This divergence has dramatic implications for our understanding of germ cell specification, placental development and pluripotency in the embryo and embryonic stem cells. 

Working closely with our international collaborators, your principal research focus will be on embryonic lineage segregation in the implanting primate embryo using the very latest single-cell RNA-seq methods for combined transcriptome and methylome analysis. Our approach entails the generation of a transcriptional and epigenetic blueprint of primate development, from the fertilised egg up until gastrulation. Based on these insights, we will generate synthetic embryos and develop an in vitro model of primate implantation. You will be responsible for integrating multi-omics single-cell data, statistical analysis, innovative data visualisation and cross-species comparisons. A particular focus will be on signalling pathway analysis and target prediction for functional validation in close collaboration with wet-lab colleagues. 

The successful applicant will be based within a vibrant working environment at the interface of computational science, embryology and molecular biology. We are looking for a team player with excellent communication skills and you will liaise with colleagues and fellow computational scientists within the Centre for Trophoblast Research. 

Essential requirements are a PhD (or about to complete a PhD) or equivalent experience in bioinformatics, mathematics, statistical analysis or genomics. The ideal candidate will have experience in a scientific programming language e.g. R, Python, C or Java; previous exposure to single-cell transcriptomics is a plus. 

Most importantly, you will have a can-do attitude with a genuine drive to push boundaries. 

Please send your application via the University online system: 

Informal enquiries can be directed to Dr Thorsten Boroviak ( 

This post is initially for 3 years. A six month probationary period applies. 

The closing date for this vacancy is Sunday 15 October 2017.