15 spatial analysis positions at University of Oxford

PDRA in Maritime Archaeology Data

proficient in R or Python for data analysis and model development. You will have experience in spatial analysis techniques including spatial networks and map algebra, alongside competent skills in analysing

Computational Biologist

RNA-Seq and multi-omics data analysis; immune repertoire analysis; spatial transcriptomics/proteomics and image analysis; and development of new computational methods and models for spatial data

Departmental Lecturer in Human Geography

scientific analysis to generate robust, reproducible results. It is preferrable that you also have experience with analysing spatial omics datasets, analysing multi-colour immunofluorescence imaging data, and

Senior Bioinformatician in Immune Single-Cell Omics & Machine Learning

multi-disciplinary team of biological, computational and mathematical researchers by curating and processing raw ‘omic and spatial biology data and performing hypothesis led and hypothesis generating

Postdoctoral Research Associate in Bioinformatics

this core-funded role you will lead the development of pipelines and tools for the analysis of data from cutting-edge single cell and spatial genomics platforms such as the 10x Chromium and Nanostring CosMx

Postdoctoral Researcher in Alzheimer's Disease Pathology, Oxford-GSK Institute of Molecular and Computational Medicine

appropriate analytical protocols and techniques to support research, particularly in relation to AI-driven algorithms to recognize different hallmark brain pathologies as well as to spatial transcriptomic

Postdoctoral Research Associate in Bioinformatics

this core-funded role you will lead the development of pipelines and tools for the analysis of data from cutting-edge single cell and spatial genomics platforms such as the 10x Chromium and Nanostring CosMx

Bioinformatician in Spatial Transcriptomics and Single-Cell Genomics

this role you will conduct detailed analyses of uni- and/or multi-modal spatial and single-cell omics data and imaging datasets generated – using analysis to identify, define and plan new projects

Postdoctoral Research Associate

project on the biophysical determinants of cell fate decisions in skin inflammatory diseases. Using a pioneering approach called spatial mechano-transcriptomics, recently developed by the Hallou Lab and

Computational Biologist

. These will include spatial omics, genomics, transcriptomics, proteomics, metabolomics, and imaging data. You will develop analysis pipelines in using frameworks such as Nextflow or SnakeMake, and conduct