All vacancies within Department of Oncology
There are currently 5 vacancies within Department of Oncology:
| Title | Closes | Salary |
|---|---|---|
| Postdoctoral Researcher - Flash Radiation | Sept. 26, 2022, noon | Standard Grade 7: £34,308 - £42,155 |
| Senior Research Scientist/Data Analyst | Sept. 27, 2022, noon | Grade 8: £42,149 - £50,296 with a discretionary range to £54,943 per annum With reduces responsibilities, this post can be offered at Grade 7: £33,309 - £40,927 with a discretionary range to £44,706 per annum |
| Postdoctoral Researcher | Sept. 29, 2022, noon | Grade 7: £34,308 - £42,155 per annum |
| Academic Clinical Lecturer in Medical Oncology or Cardiology or Paediatrics | Sept. 30, 2022, noon | Grade A63 or A67: £35,858 - £63,422 per annum dependent on qualifications and experience, in line with current pay protection and transitional arrangements in the NHS |
| Research Assistant | Sept. 30, 2022, noon | Grade 6: £30,502 - £36,386 per annum (with a discretionary range to £39,745 per annum) |
Postdoctoral Researcher - Flash Radiation
Closes: Sept. 26, 2022, noon; salary: Standard Grade 7: £34,308 - £42,155
<div> <p></p><div><strong>About the role</strong></div><br> <div> </div><br> <div>We have an exciting opportunity for a Postdoctoral Researcher to join the Physics and Biology of FLASH Radiation Research Group led by Dr Kristoffer Petersson.  This Research Group will focus on the novel radiotherapy technique that is showing great potential in improving cancer treatment and aims to identify the biological mechanisms behind the highly beneficial FLASH effect, and find the optimal way of implementing the technique in clinical practice.</div><br> <div> </div><br> <div>You will be responsible for carrying out research on the key biological mechanisms behind FLASH radiation.  This will involve the adaptation of existing techniques for measuring DNA damage and investigating DNA damage response, development of new scientific techniques and the writing of experimental protocols. You will test hypotheses and analyse scientific data and will contribute ideas for new research projects related to FLASH Radiation response and cancer.</div><br> <div> </div><br> <div>You will also manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines.</div><br> <div> </div><br> <div>This role is offered on a full time basis and is fixed term for 18 months in the first instance.</div><br> <div> </div><br> <div><strong>About you</strong></div><br> <div> </div><br> <div>You will have (or be near to completion) a relevant PhD (e.g. in radiation biology, radiation physics, radiochemistry, molecular biology, biology or similar) and have the ability to manage your own academic research and associated activities.  Previous experience of contributing to publications and presentations are essential.   Previous experience of working with FLASH radiation would be advantageous as would previous experience of in vivo research.</div><br> <div> </div><br> <div><strong>Application process</strong></div><br> <div> </div><br> <div>If you would like to discuss this role please contact Dr Kristoffer Petersson on  <a rel="nofollow" href="http://kristoffer.petersson@oncology.ox.ac.uk">kristoffer.petersson@oncology.ox.ac.uk</a></div><br> <div> </div><br> <div>You will be required to upload a supporting statement (setting out how you meet the selection criteria), a curriculum vitae and the names and contact details of two referees as part of your online application.</div><br> <div> </div><br> <div>The closing date for applications is 12.00 noon on 26th September 2022.  Interviews will take place on 14th October 2022.</div> </div>Senior Research Scientist/Data Analyst
Closes: Sept. 27, 2022, noon; salary: Grade 8: £42,149 - £50,296 with a discretionary range to £54,943 per annum With reduces responsibilities, this post can be offered at Grade 7: £33,309 - £40,927 with a discretionary range to £44,706 per annum
<div> <p></p><div>We are seeking to appoint a highly motivated Senior Research Scientist/Data Analyst with enthusiasm for tumour immunology, and experience in the analysis and interpretation of large transcriptomic datasets to join the Oxford Centre for immune-oncology at the Nuffield Department of Medicine. You will join a collaborative effort between Dr. Nicola Ternette, Head of the Antigen Discovery/Immunopeptidomics Group and the wider Cancer Centre Team. You will join a team of scientist that are passionate about tumour antigen discovery and the development of next generation immunotherapies. You will further benefit from working in a dynamic scientific environment on Old Road Campus in Oxford*. *</div><br> <div> </div><br> <div>You will be responsible for leading advanced RNA data analysis using existing software packages and integration of further analysis tools into existing pipelines available in the group, as well as developing and tailoring analytical tools and resources appropriate to the work. You will keep up to date with latest developments in the field including the participation in national and international conferences and write research reports and articles for publication in national and international peer-reviewed journals, book chapters, and reviews. You will keep accurate records of data and results and generate written reports and agree on clear task objectives, organise, and delegate work to other members of the team and coach other members of the group on specialist methodologies or procedures. You will be responsible for attending scientific seminars, meetings and contributing to presentations or other means of disseminating results as appropriate, and also contributing to discussions, planning the overall aims and objectives of the group.</div><br> <div> </div><br> <div>It is essential that you hold an MSc in a relevant subject, and have a strong background in strong background in bioinformatics, together with significant previous experience. You will have a working knowledge of transcriptomics analysis pipelines, particularly single cell RNAseq and <em>de novo</em> assembly. You will have experience of downstream data modelling, including pathway analysis and clinical association studies and also R, Perl or Python programming at an advanced level. You will have a responsible nature with a methodical and precision driven approach to working in the laboratory independently, and be able collate information meticulously and the ability to work on several projects in parallel and to solve complex problems. It is essential you can communicate results clearly and effectively and to discuss scientific ideas both within the work environment and the wider collaborative community.</div><br> <div> </div><br> <div>Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application.  Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience.</div><br> <div> </div><br> <div>This position is offered full time on a fixed term contract until 18 June 2025 and is funded by Cancer Research UK.</div><br> <div> </div><br> <div>Only applications received before 12 midday on Tuesday 27 September 2022 will be considered. Please quote <strong>159137</strong> on all correspondence.</div> </div>Postdoctoral Researcher
Closes: Sept. 29, 2022, noon; salary: Grade 7: £34,308 - £42,155 per annum
<div> <p></p><div><strong>About the role</strong></div><br> <div>We have an exciting opportunity for a Postdoctoral Researcher to work on a collaborative project supervised by Profs Ester Hammond and Amato Giaccia in the Department of Oncology. The project will focus on recent work from the Hammond lab, which has characterised the role of R-loops in the biological response to hypoxia (Ramachandran, Ma <em>et al</em>., Nat Comms 2021). Specifically, we plan to focus on aspects of hypoxia-induced transcriptional stress and how this could be exploited to improve the response of hypoxic tumours to radiotherapy.</div><br> <div> </div><br> <div>You will manage your own academic research and administrative activities, which involves small-scale project management to co-ordinate multiple aspects of work to meet deadlines. You will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate, and adapt existing and develop new scientific techniques and experimental protocols. You will contribute ideas for new research projects and develop ideas for generating research income, presenting detailed research proposals to senior researchers. You will collaborate in the preparation of scientific reports and journal articles and occasionally present papers and posters, represent the research group at external meetings/seminars. You will act as a source of information and advice to other members of the group on scientific protocols and experimental techniques, providing guidance to less experienced members of the research group.  </div><br> <div> <br> <br>The post will be based at the Old Road Campus Research Building, Roosevelt Drive, Headington, Oxford, OX3 7DQ, and is offered on a full-time basis (although part-time hours will be considered), fixed-term until 31 October 2023. </div><br> <div>An early start date is required. </div><br> <div> </div><br> <div><strong>About you</strong></div><br> <div>You will hold (or be close to completing) a relevant PhD/DPhil in cancer biology, and have previous experience of working in the field of hypoxia research, specifically in the context of resistance to radiation. Detailed knowledge and experience of working with both the DNA damage and unfolded protein responses, including the use of assays to measure DNA damage, R-loops and transcription, is essential for this role. You will possess sufficient specialist knowledge in the discipline to work within established research programmes and previous experience of contributing to publications/presentations, ideally as first or co-first author. You will have proven ability to manage your own academic research and associated activities, together with excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings. Experience with assays to measure oxidative stress and a knowledge of factors which lead to nucleolar stress, would be advantageous.</div><br> <div> </div><br> <div><strong>Application Process</strong></div><br> <div>You will be required to upload a supporting statement (setting out how you meet the selection criteria), a curriculum vitae and the names and contact details of two referees as part of your online application.</div><br> <div> </div><br> <div>Informal enquiries about the role can be directed to  <a rel="nofollow" href="mailto:ester.hammond@oncology.ox.ac.uk">ester.hammond@oncology.ox.ac.uk </a></div><br> <div> </div><br> <div>Only applications received by <strong>12pm BST Thursday 29 September 2022</strong> will be considered.</div><br> <div> </div><br> <div>Interviews are expected to take place w/c 03 October 2022. Candidates should be available for interview during this time.</div><br> <div> </div> </div>Academic Clinical Lecturer in Medical Oncology or Cardiology or Paediatrics
Closes: Sept. 30, 2022, noon; salary: Grade A63 or A67: £35,858 - £63,422 per annum dependent on qualifications and experience, in line with current pay protection and transitional arrangements in the NHS
<div> <p></p><div><strong>Academic Clinical Lecturership (ACL)</strong></div><br> <div><strong>NIHR Integrated Academic Training Path</strong></div><br> <div><strong>4 years fixed term</strong></div><br> <div>Salary: Grade A63 or A67: £35,858 - £63,422 per annum dependent on qualifications and experience, in line with current pay protection and transitional arrangements in the NHS</div><br> <div> </div><br> <div>Applications are invited from the listed specialties for one post under the NIHR Integrated Academic Training Pathway. This is a fixed-term, four-year post which offers excellent opportunities to undertake high quality research within a clinically excellent environment and to undertake clinical work towards gaining a CCT. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be medically qualified, ST3 and above, have full GMC registration and already hold, or have submitted for Higher Degree (PhD/DPhil/MD). Applicants must also hold a current National Training Number (NTN).</div><br> <div> </div><br> <div><strong>Medical Oncology</strong>, based in Department of Oncology, Old Road Campus Research Building, Roosevelt Drive, Headington, Oxford, OX3 7DQ</div><br> <div><strong>Cardiology</strong>, based in the Radcliffe Department of Medicine, Level 6, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU</div><br> <div><strong>Paediatrics,</strong> based in the Department of Paediatrics, Level 2, Children’s Hospital, John Radcliffe, Headington, Oxford, OX3 9DU</div><br> <div> </div><br> <div>The closing date for this post is 12 noon on Friday 30 September 2022. Interviews will be held remotely via MS Teams on Friday 14 October 2022.</div><br> <div>For an informal discussion, please contact Professor Christopher Pugh at chris.pugh@ndm.ox.ac.uk    </div><br> <div> </div><br> <div>Applications are particularly welcome from women and black and minority ethnic candidates, who are under-represented in academic posts in Oxford. <strong>Committed to equality and valuing diversity.</strong></div><br> <div> </div> </div>Research Assistant
Closes: Sept. 30, 2022, noon; salary: Grade 6: £30,502 - £36,386 per annum (with a discretionary range to £39,745 per annum)
<div> <p></p><div>Applications are invited for an experienced and enthusiastic Research Assistant to join Professor Matthew Wood’s laboratory and undertake a preclinical project utilizing oligonucleotides and small molecules for the therapeutic treatment of neuromuscular diseases such as Spinal Muscular Dystrophy and Duchenne Muscular Dystrophy.</div><br> <div> </div><br> <div>The successful applicant will be responsible for assisting in the day-to-day execution of the project, in particular animal experiments, optimising new experimental protocols and analysing results. You will be familiar with standard molecular biology techniques mostly involving processing and analyzing animal tissue. You will also collaborate in the preparation of scientific reports and journal articles and the presentation of papers.</div><br> <div> </div><br> <div>You must hold an undergraduate degree or equivalent in a relevant area of research.  You will need to demonstrate having experience in animal handling and colony management, with expertise in drug administration and assessment of motor phenotype testing desirable. The applicant must have previous experience in standard molecular and cellular biology techniques, including, but not limited to, RNA and protein expression analysis. The ability to work both independently and as part of a team is essential.</div><br> <div> </div><br> <div>You will be based in the Institute of Developmental and Regenerative Medicine (IDRM), Department of Paediatrics, at the University of Oxford. </div><br> <div> </div><br> <div>The position is full-time and fixed term until 21 August 2023.</div><br> <div> </div><br> <div>You will be required to upload a CV and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description. <a rel="nofollow" href="https://www.jobs.ox.ac.uk/cv-and-supporting-statement">Click here</a> for information and advice on writing an effective Supporting Statement.</div><br> <div> </div><br> <div>To discuss post in more detail please contact Professor Matthew Wood using the contact details below. Only online applications received before 12.00 midday on Friday 30 September 2022 will be considered. Interviews will be held as soon as possible thereafter.</div> </div>