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All vacancies within Radcliffe Department of Medicine

There are currently 3 vacancies within Radcliffe Department of Medicine:

Title Closes Salary
Research Assistant in T cell Immunology / Immunotherapeutics July 15, 2025, noon Grade 6: £34,982 - £40,855 per annum
Clinical Research Scientist in Myeloid Malignancy July 22, 2025, noon not specified
Image Data Analyst July 26, 2025, noon Standard Grade 6: £34,982 - £40,855

Research Assistant in T cell Immunology / Immunotherapeutics

Closes: July 15, 2025, noon; salary: Grade 6: £34,982 - £40,855 per annum

<div> <p></p><div>This is an exciting and unique opportunity for a talented, curious scientist who wants to make new scientific discoveries in T cell immunology and immunotherapeutics. You will work in the &#160;<a rel="nofollow" href="https://www.rdm.ox.ac.uk/about/our-divisions/nuffield-division-of-clinical-laboratory-sciences/nuffield-division-of-clinical-laboratory-sciences-research/normal-and-malignant-haematopoiesis-lab">Vyas Laboratory</a> on discovering new peptide-HLA-II (pHLA-II) antigens and their cognate T cell receptors (TCRs), interrogating their function, molecular and biophysical features and conduct proof of concept work to establish their utility as immunotherapeutics.</div><br> <div>&#160;</div><br> <div>You will be part of a multi-disciplinary team that includes immunologists with molecular, cellular, biochemical and structural expertise. You will work with patient samples and dissect alloreactive immune responses, repurposing them to make novel TCR-T cell and soluble bispecific T cell engager therapeutics.</div><br> <div>&#160;</div><br> <div>You will have an undergraduate degree in a relevant biological science, together with relevant laboratory and computational experience (flow cytometry, cell culture, molecular sub-cloning and analysis of next generation sequence data). Experience in coding and using computational pipelines with specialist knowledge in T cell immunology and immunology of cancer and cancer immunotherapeutics will be essential.</div><br> <div>&#160;</div><br> <div>The role could suit an applicant wanting to go onto do a PhD or wanting to explore working in the Vyas Laboratory on a longer term basis.</div><br> <div>&#160;</div><br> <div>The post is available fixed-term for 12 months, funded by &#160;<a rel="nofollow" href="https://yellowstonebio.com/">Yellowstone Bioscience</a>.</div><br> <div>&#160;</div><br> <div>Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application.</div><br> <div>&#160;</div><br> <div>The closing date for this position is <strong>12:00 noon on Monday 15 July 2025</strong>. &#160;Interviews will be held w/c 28 July 2025.</div><br> <div>&#160;</div> </div>

Clinical Research Scientist in Myeloid Malignancy

Closes: July 22, 2025, noon; salary: not specified

<div> <p></p><div>This is an exciting opportunity to join the &#160;<a rel="nofollow" href="http://https://www.rdm.ox.ac.uk/about/our-divisions/nuffield-division-of-clinical-laboratory-sciences/nuffield-division-of-clinical-laboratory-sciences-research/normal-and-malignant-haematopoiesis-lab"></a><a rel="nofollow" href="https://www.rdm.ox.ac.uk/about/our-divisions/nuffield-division-of-clinical-laboratory-sciences/nuffield-division-of-clinical-laboratory-sciences-research/normal-and-malignant-haematopoiesis-lab"></a><a rel="nofollow" href="https://www.rdm.ox.ac.uk/about/our-divisions/nuffield-division-of-clinical-laboratory-sciences/nuffield-division-of-clinical-laboratory-sciences-research/normal-and-malignant-haematopoiesis-lab">Vyas Group</a>, based in the <a rel="nofollow" href="https://www.imm.ox.ac.uk/research/units-and-centres/mrc-molecular-haematology-unit">MRC Molecular Haematology Unit</a>, to conduct cutting-edge discovery research into the molecular and cellular mechanisms of myeloid malignancy.</div><br> <div>&#160;</div><br> <div>You will be responsible for carrying out research in the mechanisms by which recurrent mutations in myeloid cancer cause Acute Myeloid Leukaemia (AML). Working with a multi-disciplinary team you will conduct research on three different topics in this area, using primary human and non-human cells and appropriate model systems. You will be involved in extensive laboratory and computational analysis of single cells and also interfacing with NHS colleagues at the Oxford University Hospitals NHS Foundation Trust.</div><br> <div>&#160;</div><br> <div>You will hold a medical degree (MB ChB or equivalent) and relevant PhD or a medical doctorate, with a prior high impact publication record in the field or other relevant fields. Specialist knowledge in myeloid malignancy, haemopoiesis and analysis of murine models of haemopoiesis, together with computational experience, will be essential.</div><br> <div>&#160;</div><br> <div>The post is available fixed-term for 12 months full time, funded by the Medical Research Council.</div><br> <div>&#160;</div><br> <div>Applications for this vacancy are to be made online. You will be required to upload a CV and supporting&#160;statement as part of your online application.</div><br> <div>&#160;</div><br> <div><strong>The closing date for this position is 12:00 noon on Tuesday 22 July.</strong></div> </div>

Image Data Analyst

Closes: July 26, 2025, noon; salary: Standard Grade 6: £34,982 - £40,855

<div> <p></p><div>The University of Oxford is looking for a highly motivated and skilled Postdoctoral Research Assistant to join our dynamic and interdisciplinary imaging team. This position is part of an exciting programme focused on integrating and analysing large-scale, multidimensional imaging datasets: MRI of heart, liver, kidney and brain to support early disease detection, improve mechanistic understanding, and influence clinical practice.</div><br> <div>&#160;</div><br> <div>We welcome applications from candidates with following backgrounds:</div><br> <div>&#160;</div><br> <div>Candidates with strong experience in medical image analysis, machine learning (especially deep learning) and those with expertise in cardiac MRI acquisition. While experience in machine learning is not essential for this pathway, a strong technical understanding of imaging and post-processing is helpful.</div><br> <div>&#160;</div><br> <div>You must hold a Masters or PhD in a relevant field such as cardiac imaging, biomedical engineering, computer science, Physics, or a related discipline. Prior experience in MRI research, including working with large datasets, and demonstrated ability to work independently and collaboratively, are an advantage.</div><br> <div>&#160;</div><br> <div>Oxford offers an outstanding environment for research with access to state-of-the-art facilities and a vibrant academic community. We are committed to fostering an inclusive culture and welcome candidates from diverse backgrounds.</div><br> <div>&#160;</div><br> <div><strong>Interested candidates are encouraged to approach&#160;Prof. Betty Raman (betty.raman@cardiov.ox.ac.uk)&#160;</strong>for further clarification of the job role.</div><br> <div>&#160;</div><br> <div>Application Process</div><br> <div>&#160;</div><br> <div>If you would like further information about the role, please contact Betty Raman betty.raman@cardiov.ox.ac.uk.&#160;&#160;</div><br> <div>&#160;</div><br> <div><strong>Interviews are expected to take place on July 30th or 31st .</strong></div><br> <div><strong>Only applications received before midday on July 26th can be considered.</strong></div><br> <div>&#160;</div><br> <div>You will be required to upload a covering letter with a supporting statement, CV and the details of two referees as part of your online application. In your supporting statement, please explain why you would like to do this role and how you meet the selection criteria in the job description.</div> </div>