Computational Biology Research Associate – Single-cell and multi-omics approaches to mechanisms of cellular programming and reprogramming in development

Lineage fidelity and infidelity in stem cells and development

Prof Anna Philpott’s laboratory, Cambridge Stem Cell Institute

Mechanisms that lead to the establishment and maintenance of cell identity are paramount for organismal health. They also underpin successful cellular reprogramming for disease modelling and cell replacement therapies. Alongside experimental lab work using embryonic stem cells, cancer cells and Xenopus frog embryos, the Philpott lab, in collaboration with Ben Simons’ lab, makes use of analytical and computational approaches to study mechanisms of lineage fidelity and transcriptional reprogramming of cell fate during development and in disease. Current interests include the roles played by the epigenome and cofactors in regulating lineage transcription factor-mediated establishment and stabilisation of cell fate.

Computational Biology Research Associate – Single-cell and multi-omics approaches to mechanisms of cellular programming and reprogramming in development

With experience in the development of statistical, computational and bioinformatics methods, this RA will have a key position in analysing single-cell and bulk genome-wide datasets across a range of projects and experimental model systems.  As well as performing computational genomics analyses, this RA will also make use of functional data to develop mechanistic insights using statistical modelling-based methods and/or computational approaches, working closely with experimental colleagues to transform sequencing data into biologically meaningful information.  Reflecting this central role in data analysis and integration, the RA’s contributions will be acknowledged accordingly.