Postdoctoral Researcher in Cell Assay Development and chemico-genomic Screening

University of Oxford

Postdoctoral Researcher in Cell Assay Development and chemico-genomic Screening

£43232

University of Oxford, New Headington, Oxford

  • Full time
  • Temporary
  • Onsite working

Posted 1 week ago, 12 Sep | Get your application in now before you're too late!

Closing date: Closing date not specified

job Ref: e0721e16b3bc471295a03e63e94cc27f

Full Job Description

The UK Research and Innovation Musculoskeletal Functional Genomics Initiative Cluster (MSK Cluster) is one of four Functional Genomics clusters in the UK that have been funded by UKRI to accelerate the translation of genetic results into tangible benefits for patients. As member of the Oppermann group at the Botnar Institute, your specific role will be in the development and adaptation of cell-based assays, execution of chemical and genetic screening and identification of mode of action of identified hits that could constitute novel targets in MSK diseases. You will contribute to co-ordinating and integrating the experimental work and to the analysis of genetic, transcriptomic, proteomic, and imaging data, with the overarching aim to provide new evidence of pathogenicity of proteins and pathways across MSK diseases and with a view to design innovative therapeutic intervention points.

You will have a Doctoral (PhD) degree or equivalent or be near completion in human and/or chemical or molecular biology, or a related relevant scientific subject. You will also be able to demonstrable experience, ability, and practical success in molecular and cell biology techniques such as cell culture, molecular cloning, immune-precipitation techniques, transcriptomics, next generation sequencing and proteomics techniques and cell-based assay development. Documented experience in genetics, transcriptomics, proteomics, and imaging data analysis is also essential. Previous research experience in the genetics of human disease, and previous experience working with large datasets with demonstrable expertise in the use of statistical packages, including R and/or Python is desirable.