Computational Postdoctoral Fellow

Vento-Tormo’s lab research interest is to understand the influence of cellular microenvironments on individual cellular identities and responses, in the context of development and immunity. The team employs single-cell and spatial transcriptomics methods to deconstruct the cell signals in human organs and tissues, and utilise this information to inform the reconstruction of novel in vitro models. The lab is based at the Sanger Wellcome Institute (WSI) a dynamic, multi-disciplinary, innovative institute in Cambridge (UK) and works closely with other teams single-data within the cellular genetics program and the European Bioinformatics Institute (EBI) to advance in the genomics field. We are looking for a computational postdoctoral fellow to join the team.

You will be integrated into the Vento-Tormo lab, a highly collaborative, international work environment with well-experienced colleagues in single-cell and spatial data production, analysis and methods development (www.VenToLab.org ). You will be responsible for a project focused on integrating multiple single-cell multiomics and imaging datasets generated from in vitro and in vivo models produced by the lab. You must be familiar with genomics, and will play a vital role in writing up studies. You will have the opportunity to be embedded in and supported by a large community of computational and experimental scientists.

Relevant publications of the team:

Mapping the temporal and spatial dynamics of the human endometrium in vivo and in vitro. Garcia-Alonso L, Handfield L-F, Roberts K, Nikolakopoulou K,…, Vento-Tormo R. BioRxiv doi: https://doi.org/10.1101/2021.01.02.425073 (Nature Genetics In Press)

A single cell characterisation of human embryogenesis identifies pluripotency transitions and putative anterior hypoblast centre. Mole M, …, Vento-Tormo R*, Zernicka-Goetz M*. Nature Communications. 2021 Jun 17;12(1):3679. (* co-corresponding)

CellPhoneDB: Inferring cell-cell communication from combined expression of multi-subunit receptor-ligand complexes. Efremova M, Vento-Tormo M, Teichmann SA, Vento-Tormo R. Nature Protoc. 2020 Apr;15(4):1484-1506.

Single-cell reconstruction of the early maternal-fetal interface in humans. Vento-Tormo R,…, Teichmann SA. Nature 2018 Nov;563(7731):347-353.

Please apply with your CV and a Cover letter outlining your suitability for the role addressing the criteria set out above and in the job description.