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Postdoctoral research assistant in bioimaging and spatial multiomics

Oxford
University of Oxford
Research assistant
Posted: 15 June
Offer description

Nuffield Division of Clinical Laboratory Sciences, John Radcliffe Hospital, Oxford, OX3 9DU Applicants are invited for a PDRA position at the Nuffield Division of Clinical Laboratory Sciences (Radcliffe Department of Medicine) - University of Oxford to participate in a major new multidisciplinary bioimaging programme, 3DxN. Background Ageing and disease are accompanied by changes in the appearance of tissues and cellular microenvironments. Current clinical pathology relies largely on classification and grading systems that do not fully capture the molecular and cellular basis of health and disease. Role of Successful Applicant Main Duties & Responsibilities
1. Plan, coordinate and deliver high-quality research activities and outputs in collaboration with the Principal Investigator and project partners.
2. Design and test scientific hypotheses, analyse complex multimodal datasets and interpret findings.
3. Develop computational and bioinformatics pipelines for spatial transcriptomics, multiomics and imaging data.
4. Integrate tissue imaging, molecular and clinical datasets to generate advanced disease models.
5. Contribute to the preparation of manuscripts for publication in leading international journals.
6. Present research findings at group meetings and national and international conferences.
7. Collaborate effectively with researchers across the 3DxN consortium, including international partners.
8. Provide technical guidance and mentorship to research students and technical staff where appropriate.
Essential Requirements Applicants should hold, or be close to completion of, a PhD/DPhil in a relevant discipline such as bioinformatics, computer science, applied mathematics, computational biology or a related field. They should demonstrate:
9. Strong programming skills in Python and R.
10. Experience developing bioinformatics analysis pipelines for spatial (or single cell) omics data and / or experience developing machine learning pipelines for imaging data.
11. Excellent analytical, problem-solving and communication skills.
12. The ability to work independently and collaboratively within a multidisciplinary research environment.
Experience with spatial transcriptomics, multiplexed imaging, tissue pathology or blood cancer research would be advantageous. The position is available for 24 months in the first instance, with a potential extension for further 24 months. Candidates are encouraged to discuss their needs and preferences for work arrangements at interview.

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