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Position: Computational Postdoctoral Fellow
Institution: Wellcome Sanger Institute
Location: Hinxton, Cambridgeshire, United Kingdom
Duties: 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. 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
Requirements: PhD in relevant quantitative discipline (e.g. Computational Biology, Genetics, Bioinformatics, Physics, Engineering or Mathematics); Proven understanding and experience in the fields of genomics, data processing and high-throughput data analysis (E); Good publication record
   
Text: Skip to main content Careers | Find us | Contact us About Science People Innovation News Related links Register Login page Current vacancies Application process Employee benefits Life at Sanger Technicians Commitment Reasonable Adjustment Statement Contact us 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. Job Logo Athena Swan Logo Link https://www.sanger.ac.uk/about/equality-science/athena-swan Grade PDF Salary per annum £32,780-£41,093 Full Time, Part Time, Flexible Working Full Time/Flexible working considered Contract Type Fixed Term Contract Length 3 years Closing Date 31 October 2021 Job Reference 84459 Essential Skills Technical Skillset PhD in relevant quantitative discipline (e.g. Computational Biology, Genetics, Bioinformatics, Physics, Engineering or Mathematics) Proven understanding and experience in the fields of genomics, data processing and high-throughput data analysis (E) Good publication record Competency/Behavioural Skillset Motivation and ambition to make a personal contribution to GRL research Excellent communication skills to allow efficient interactions with collaborators Team player with the ability to work with others in a collegiate and collaborative environment Ability to effectively prioritise, multi-task and work independently Demonstrates inclusivity and respect for all Other information Application Process: 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. Apply now on-lineSend to a friend We are committed to fostering an inclusive, stimulating and rewarding culture where everyone can thrive and diversity is celebrated. Click to view our reasonable adjustment statement. Contact us Login Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SA. UK +44 (0)1223 834244 About Legal Data sharing Careers Privacy Equality, Diversity, Inclusion Study Cookies Modern Slavery Statement Expand footer Wellcome Sanger Institute, Genome Research Limited (reg no. 2742969) is a charity registered in England with number 1021457 2020 Wellcome Sanger Institute | All rights reserved
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