Postdoctoral Research Assistant in Bioimaging and Spatial Multiomics in Oxford

Postdoctoral Research Assistant in Bioimaging and Spatial Multiomics in Oxford

Oxford Full-Time 35000 - 45000 £ / year (est.) No working from home possible
Corehr

At a Glance

  • Tasks: Join a cutting-edge bioimaging programme and analyse complex datasets to advance precision diagnostics.
  • Company: University of Oxford, renowned for its innovative research and collaborative environment.
  • Benefits: Competitive salary, professional development, and the chance to work with leading experts.
  • Other info: Dynamic research environment with opportunities for collaboration and mentorship.
  • Why this job: Make a real impact in healthcare by developing novel diagnostic tools for blood cancer and skeletal injury.
  • Qualifications: PhD/DPhil in relevant fields, strong programming skills, and experience in bioinformatics or machine learning.

The predicted salary is between 35000 - 45000 £ per year.

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. This post forms part of the Wellcome-funded 3DxN consortium, bringing together researchers from the University of Oxford and the University of Cape Town. The programme integrates AI‑driven image analysis with molecular and clinical data to identify novel disease‑associated features and translate them into clinically deployable diagnostic and prognostic tools. The successful candidate will contribute to the development of a spatially resolved 3D atlas of the bone marrow, advancing precision diagnostics in blood cancer and skeletal injury through the integration of advanced imaging, spatial transcriptomics and computational pathology.

Role of Successful Applicant

The postholder will join the Spatial and Translational Pathology Group and analyse bone biopsy samples using 2D and 3D tissue imaging and spatial transcriptomics technologies. They will develop and apply computational methods to integrate imaging, molecular and clinical datasets, generating new insights into bone marrow biology, blood cancer and skeletal disease. The role offers opportunities to collaborate with leading clinician scientists, biomedical engineers and computational researchers, and to further develop expertise in AI, machine learning, data integration and advanced bioimage analysis.

Main Duties & Responsibilities

  • Plan, coordinate and deliver high‑quality research activities and outputs in collaboration with the Principal Investigator and project partners.
  • Design and test scientific hypotheses, analyse complex multimodal datasets and interpret findings.
  • Develop computational and bioinformatics pipelines for spatial transcriptomics, multiomics and imaging data.
  • Integrate tissue imaging, molecular and clinical datasets to generate advanced disease models.
  • Contribute to the preparation of manuscripts for publication in leading international journals.
  • Present research findings at group meetings and national and international conferences.
  • Collaborate effectively with researchers across the 3DxN consortium, including international partners.
  • Provide technical guidance and mentorship to research students and technical staff where appropriate.

Qualifications

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:

  • Strong programming skills in Python and R.
  • Experience developing bioinformatics analysis pipelines for spatial (or single cell) omics data and / or experience developing machine learning pipelines for imaging data.
  • Excellent analytical, problem‑solving and communication skills.
  • 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 a further 24 months. Only online applications received before midday on 10 July 2026 can be considered. Interviews will take place soon thereafter. Committed to equality and valuing diversity.

Postdoctoral Research Assistant in Bioimaging and Spatial Multiomics in Oxford employer: Corehr

The University of Oxford offers an exceptional work environment for the Postdoctoral Research Assistant in Bioimaging and Spatial Multiomics, fostering a culture of collaboration and innovation within the Nuffield Division of Clinical Laboratory Sciences. Employees benefit from access to cutting-edge research facilities, opportunities for professional development, and the chance to work alongside leading experts in the field, all while contributing to impactful projects that advance precision diagnostics in healthcare. Located in the vibrant city of Oxford, this role provides a unique opportunity to engage in meaningful research that addresses critical challenges in medicine.

Corehr

Contact Details:

Corehr Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Postdoctoral Research Assistant in Bioimaging and Spatial Multiomics in Oxford

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We think you need these skills to ace Postdoctoral Research Assistant in Bioimaging and Spatial Multiomics in Oxford

Bioinformatics
Computational Biology
Spatial Transcriptomics
Multiplexed Imaging
Tissue Pathology
Blood Cancer Research
Programming Skills in Python

Some tips for your application 🫡

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