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, opportunities for mentorship, and collaboration with leading experts.
- Other info: Dynamic research environment with excellent opportunities for career growth and international collaboration.
- Why this job: Make a real impact in healthcare by developing advanced diagnostic tools using AI and imaging technologies.
- Qualifications: PhD/DPhil in bioinformatics or related field, strong programming skills in Python and R.
The predicted salary is between 47779 - 47779 £ per year.
Location: Radcliffe Department of Medicine, John Radcliffe Hospital, Headington, Oxford
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.
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:
- 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. Committed to equality and valuing diversity.
£39,424 to £47,779 per annum: Grade 7
Postdoctoral Research Assistant in Bioimaging and Spatial Multiomics in Oxford employer: Economicsnetwork
The University of Oxford offers an exceptional work environment for the Postdoctoral Research Assistant in Bioimaging and Spatial Multiomics, situated within the prestigious Radcliffe Department of Medicine at the John Radcliffe Hospital. With a strong emphasis on collaboration, innovation, and professional development, employees benefit from access to cutting-edge research facilities and the opportunity to work alongside leading experts in the field. The university fosters a culture of inclusivity and diversity, ensuring that all staff members are valued and supported in their career growth.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Assistant in Bioimaging and Spatial Multiomics in Oxford
✨Get Involved in Local Research Communities
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We think you need these skills to ace Postdoctoral Research Assistant in Bioimaging and Spatial Multiomics in Oxford
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Economicsnetwork that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Economicsnetwork.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Economicsnetwork does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Economicsnetwork
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Economicsnetwork. You might even be asked to demonstrate your understanding of these processes.
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Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
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