Project Research Scientist - Briscoe Lab

Key information

Job reference
R524
Salary
From £38,300 per annum, subject to skills and experience.
Application close date
21 December 2021, 23:59 GMT
Hours per week
36 (full time)
Posted 24 November 2021
Background texture taken from the lab imagery.

Please note that the role will close at midnight on 22nd December 2021. Therefore, please apply for the position before midnight, so that your application can be considered.

This is a full-time, fixed term (3 year) position on Crick terms and conditions of employment.

         

The research group

The lab comprises developmental and cell biologists interested in understanding the molecular and cellular mechanisms that underpin the development of vertebrate nervous system. In this tissue, secreted molecules form extracellular gradients that regulate the expression of a set of genes, notably transcription factors, which control the identity and proliferation of neural progenitors thereby governing pattern formation and tissue growth. Using a range of molecular, imaging and modelling approaches that combine single cell resolution dynamic assays of morphogen signalling, cell fate specification, gene regulation and growth the lab investigates how signalling is perceived and interpreted by cells to control gene expression and cell behaviour. They develop novel tools and approaches to obtain a comprehensive view of neural tube development and to analyze the interdependence between different aspects of pattern formation. For the experimental studies a range of models including mouse and chick embryos and mouse and human embryonic stem cells are used.

Project summary

This position is to work on an exciting international collaboration funded by Wellcome LEAP to understand how the tumour microenvironment (TME) drives malignant cell states in glioblastoma (GBM). The project will generate and integrate single cell transcriptomics, epigenomics and spatial RNA/DNA-sequencing to systematically dissect TME-GBM cell interactions and plasticity in situ. This will involve the use of large-scale spatial multi-omics approaches. For our component of the collaboration, TME cell interactions and immune phenotypes will be analysed in GBM tissue samples by developing imaging mass cytometry methods. In addition, we will use our expertise and track record in developmental biology to investigate the relationship between the cell states documented in GBM and those in the developing human brain, identifying the embryonic programmes co-opted by malignant cells. The goal is to identify to TME-GBM interactions and malignant cell trajectories.

Key experience and competencies

You will develop imaging mass cytometry methods to assay cellular interactions in GBM, and you will drive data interpretation and design for validation and functional follow-up. In collaboration with others working on the project, you will be responsible for the biological interpretation of integrated single cell and spatial ‘omic datasets, this will involve working closely with computational scientists. You will develop follow-up projects for further validation and functional studies. This might involve patient-derived cell lines, high content screens etc using technologies available through our group and our collaborators.

Essential

  • PhD or in the final stages of PhD submission in developmental or cancer biology,
  • Good knowledge and experience in cellular and molecular mechanisms of developmental or tumour biology.
  • Technical expertise in imaging
  • Experience of computational analysis of large datasets using R, Python or other appropriate language
  • Track record of writing papers as evidenced by publications or submitted manuscripts in referred journals
  • Evidence of data presentation at scientific meetings
  • Experience of experimental design
  • Ability to work independently and also capable of interacting within a group

Desirable

  • Experience in research brain tumours.
  • Experience in imaging mass spectrometry and/or the generation and analysis of single cell omics data.
  • Knowledge of the molecular mechanisms of neural development.