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Vacancies within Nuffield Department of Women's and Reproductive Health

There are currently 4 vacancies within Nuffield Department of Women's and Reproductive Health:

Title Closes Salary
Postdoctoral Research Assistant in Pain Data Collection and Analysis for BRC funded PrePOSE study (Predicting the Pain Outcome of Surgery for Endometriosis) June 21, 2024, noon Standard Grade 7: £36,024 - £44,263 (with a discretionary range of up to £48,350)
Post-Doctoral Research Associate in Machine Learning/Machine Learning Scientist June 24, 2024, noon Standard Grade 8: £45,585 – £54,395 (with a discretionary range to £59,421) per annum
Postdoctoral Research Assistant in Ovarian Cancer Biology June 24, 2024, noon Standard Grade 7: £36,024 - £42,978per annum
Clinical Teaching Fellow July 1, 2024, noon Grade E63: £32,398 to £63,152 per annum pro rata

Postdoctoral Research Assistant in Pain Data Collection and Analysis for BRC funded PrePOSE study (Predicting the Pain Outcome of Surgery for Endometriosis)

Closes: June 21, 2024, noon; salary: Standard Grade 7: £36,024 - £44,263 (with a discretionary range of up to £48,350)

<div> <p></p><div>The Nuffield Department of Women&#8217;s &amp; Reproductive Health (NDWRH) is seeking a motivated Postdoctoral Research Assistant in Pain Data Collection and Analysis for BRC funded PrePOSE study (Predicting the Pain Outcome of Surgery for Endometriosis).</div><br> <div>&#160;</div><br> <div>In this project, as the post-doctoral researcher, you will have the responsibility of gathering and analysing a variety of questionnaires, psychophysical and neuroimaging data. Additionally, you will be tasked with creating manuscripts and presentations to share your findings. You will also have the opportunity to supervise students and work on public engagement projects related to this subject. Your daily work will be in the Pain in Women group, located in the EndoCare Centre, within the Nuffield Department of Women's and Reproductive Health. Neuroimaging is a significant area of focus in this group, and you will have the chance to collaborate on other relevant studies and access educational and career development opportunities through the Wellcome Centre for Integrative Neuroimaging (WIN).</div><br> <div>&#160;</div><br> <div>Endometriosis is common, affecting approximately 10% of reproductive aged women, many of whom will suffer with chronic pelvic pain. Pain associated with endometriosis has traditionally been considered nociceptive, with treatments directly targeting the ectopic tissue (lesions) by surgical ablation/excision and hormonal suppression or the associated inflammation with nonsteroidal anti-inflammatory drugs (NSAIDs). Whichever treatment strategy is used, approximately 50% of women experience persistent or recurrent pain. Over recent years, it has become apparent that nociplastic and neuropathic mechanisms and psychological distress all play a role in maintaining symptoms and worsening quality of life. These findings open the door to methods of patient stratification that could rationalise the use, and improve the outcome, of surgical treatments. Predictors of response to surgical treatment would be of particular value for those women with more severe disease (endometriomas or deep endometriosis) as the risks of surgery are higher, including reduced fertility due to loss of ovarian reserve and major pelvic organ damage with associated consequences e.g. need for a stoma.</div><br> <div>&#160;</div><br> <div>The suitable candidate must either hold a PhD/DPhil (or near completion) in a relevant subject area, for example, a clinical application of fMRI or fMRI methods, and expertise in analysis and interpretation of fMRI data.&#160;Excellent communication and organisation skills, ability to work independently and under pressure are also essential for this role.</div><br> <div>&#160;</div><br> <div>The post is offered on a full-time basis and is fixed term for two years, with the possibility of an extension depending on funding.&#160; <strong>Please note, the successful candidate will need to be in post by 1st September 2024.</strong></div><br> <div>&#160;</div><br> <div>Applications for flexible working arrangements are welcomed and will be considered in line with business needs.</div><br> <div>&#160;</div><br> <div>You will be required to upload a CV and Supporting Statement as part of your online application. <a rel="nofollow" href="http://https://www.jobs.ox.ac.uk/cv-and-supporting-statement"></a><a rel="nofollow" href="https://www.jobs.ox.ac.uk/cv-and-supporting-statement">Click here</a>&#160;for information and advice on writing an effective Supporting Statement.</div><br> <div>&#160;</div><br> <div>The closing date for applications is 12.00 noon on Friday 21st June 2024.</div><br> <div>&#160;</div> </div>

Post-Doctoral Research Associate in Machine Learning/Machine Learning Scientist

Closes: June 24, 2024, noon; salary: Standard Grade 8: £45,585 – £54,395 (with a discretionary range to £59,421) per annum

<div> <p></p><div>We invite applications for the position of Postdoctoral Research Associate in Machine Learning/Machine Learning Scientist to join the&#8239;Deep Medicine&#8239;programme at the Nuffield Department of Women&#8217;s and Reproductive Health (NDWRH), University of Oxford.</div><br> <div>&#160;</div><br> <div>The successful candidate will join a multi-disciplinary group of machine learning scientists, epidemiologists and clinicians at Deep Medicine who lead pioneering research in precision medicine with a focus on cardiovascular health.</div><br> <div>&#160;</div><br> <div>The researcher will be expected to lead, build upon and advance this work in order to integrate various HER data sources and other omics database and build multi-type and multi-model AI solutions for risk prediction. Working with some of the largest and most comprehensive EHR, in the world, such as CPRD and UK Biobank as well as more niche &#8220;Omics&#8221; datasets, the project provides a unique opportunity to apply advanced techniques from machine learning and conduct high-impact research, while contributing to the broader goals of Deep Medicine.</div><br> <div>&#160;</div><br> <div>The objective of the project is to develop and enhance a range of Transformer-based models to predict the risk of key clinical outcomes, such as all-cause mortality and cardiovascular events and undertake subsequent analyses of the models for hypothesis generation in the context of MLTC. At the onset, the focus will be to develop robust AI models for prediction as compared to established benchmarks. The focus will then shift to explainability and association studies.</div><br> <div>&#160;</div><br> <div>The researcher is expected to take ownership of the project, propose novel methods, models and applications of ML/DL, write protocols for studies, present the ideas within the group, have advanced coding and data processing skills to execute the ideas in a timely manner and publish the results in high impact ML conferences and medical journals such as ICML, NeurIPS, Lancet, JAMA, BMJ, and Nature Machine Intelligence. As a senior researcher the holder of the position is expected work with other senior researchers within the team and lead grant applications on related topics.</div><br> <div>&#160;</div><br> <div>The suitable candidate must hold a minimum of a PhD, or be&#160;nearing completion of a PhD, or an equivalent qualification in computer science, statistics, mathematics, engineering or other relevant areas and have up-to-date knowledge in advanced AI topics, such as deep learning, representation learning, sequence models, NLP, multimodal AI, generative models. The researcher must have advanced programming skills in Python and related data processing, machine learning, deep learning, and visualisation libraries, such as PyTorch, TensorFlow, scikit-learn, Dask, PySpark, Pandas and have familiarity with causal inference on observational data.</div><br> <div>&#160;</div><br> <div>The post is full-time (part-time will be considered, a minimum of 0.6 FTE) and is fixed term for 24 months in the first instance. Applications for flexible working arrangements are welcomed and will be considered in line with business needs.</div><br> <div>&#160;</div><br> <div>Please note, the successful candidate will need to be in post by 1st October 2024.</div><br> <div>&#160;</div><br> <div>You will be required to upload a CV and Supporting Statement as part of your online application. Click <a rel="nofollow" href="https://www.jobs.ox.ac.uk/cv-and-supporting-statement">here</a> for information and advice on writing an effective Supporting Statement.</div><br> <div>&#160;</div><br> <div>The closing date for applications is 12.00 noon on Monday 24th June 2024. Interviews will take place on Friday 5th July 2024.</div><br> <div>&#160;</div><br> <div>This is a re-advertisement, therefore previous applicants need not apply.</div> </div>

Postdoctoral Research Assistant in Ovarian Cancer Biology

Closes: June 24, 2024, noon; salary: Standard Grade 7: £36,024 - £42,978per annum

<div> <p></p><div>The Nuffield Department of Women&#8217;s &amp; Reproductive Health (NDWRH) is seeking a motivated Postdoctoral Research Assistant in Ovarian Cancer Biology.</div><br> <div>&#160;</div><br> <div>The project models tumour development as an important prerequisite for the discovery of key molecular drivers of transformation. This experimental process is an important stepping stone towards the discovery of biomarkers for early detection and prevention of cancer. For this process to be efficient a deep understanding of the genomic landscape of premalignant processes is required. Moreover, an understanding of the physiology of tissue maintenance and regeneration is required by studying tissue-specific stem cell biology. Such understanding enables modelling of cancer initiation by perturbing specific physiological processes of regeneration.</div><br> <div>&#160;</div><br> <div>The postholder will join a team of investigators, led by Professor Ahmed Ahmed, in a study that will model ovarian cancer through perturbing key physiological processes of fallopian tube specific stem cell regulation.&#160; The study will utilize cutting edge genome editing technology and aims to establish the key genetic features that lead to tumour initiation. The role will be based at the Ovarian Cancer Cell Laboratory (Ahmed Group) at the Weatherall Institute of Molecular Medicine.</div><br> <div>&#160;</div><br> <div>As a Postdoctoral Research Assistant, you will have responsibility for ensuring the quality of the data, conceiving and apply tests to check data for errors and inconsistencies. Additionally, you will be tasked with working closely with collaborators providing regular progress reports as well as representing the research group at external meetings/seminars, either with other members of the group or alone.</div><br> <div>&#160;</div><br> <div>You will take overall responsibility and leadership for making a significant contribution to the scientific objectives of the overall research goals ensuring appropriate levels of integration with the team and more widely with collaborators and colleagues. Furthermore, you will ensure the upkeep of accurate records of experimental plans, work and results.</div><br> <div>&#160;</div><br> <div>The suitable candidate must hold either a PhD in a subject with a substantial cell biology component or near completion. You should have the ability to work both independently and as part of a team to manage the day-to-day running of a research project. The post holder is required to have experience of contributing to scientific papers as evidenced by publications.&#160; Demonstrable evidence of excellent written and verbal communication skills, e.g. peer-reviewed research papers, external conference talks, teaching and have expertise in using organoid models and high throughput next generation sequencing.</div><br> <div>&#160;</div><br> <div>The post is offered on a part-time basis and is fixed term for 12 months in the first instance.</div><br> <div>&#160;</div><br> <div>Applications for flexible working arrangements are welcomed and will be considered in line with business needs.</div><br> <div>&#160;</div><br> <div>You will be required to upload a CV and Supporting Statement as part of your online application. Click here for information and advice on writing an effective Supporting Statement: &#160;<a rel="nofollow" href="http://">https://www.jobs.ox.ac.uk/cv-and-supporting-statement&#160;</a></div><br> <div>&#160;</div><br> <div>The closing date for applications is 12.00 noon on Monday 24th June 2024.</div><br> <div>&#160;</div> </div>

Clinical Teaching Fellow

Closes: July 1, 2024, noon; salary: Grade E63: £32,398 to £63,152 per annum pro rata

<div> <p></p><div>The Nuffield Department of Women&#8217;s &amp; Reproductive Health (NDWRH) is seeking two Clinical Teaching Fellows to support the delivery and development of postgraduate training in HEETV School of O&amp;G and of the undergraduate women&#8217;s and reproductive health module in year 3/5 of the Oxford Medical School.</div><br> <div>&#160;</div><br> <div>The role of educator is recognized by the GMC as an essential skill set in modern training. These posts offer the opportunity for trainees to extend their clinical training with reduced hours in order to focus on the development of skills in education. Working together, the post holders will facilitate the provision of undergraduate teaching and develop sustainable resources embedded in clinical settings to support learning at all levels.</div><br> <div>&#160;</div><br> <div>Working closely with Dr Neda Taghinejadi &amp; Dr John Heathcote (course tutors for medical students) and college tutors in their training centre, the post holders will contribute to the development of multi-professional learning at undergraduate and postgraduate level. This will include delivery of classroom teaching and tutorials, organizing assessments, developing detailed curriculums and evaluation of teaching and training.</div><br> <div>&#160;</div><br> <div>The post holders will be expected to take on a specific project during their 12 month post to contribute to the long term development teaching and training.</div><br> <div>&#160;</div><br> <div>The postholders must be a fully GMC registered doctor training in HEETV, school of O&amp;G working towards CCT or CESR but might be working at any level of training in any hospital. One option would be to undertake this role by reducing current hours under the category 3 framework. Applications from doctors working less than full time or job sharing would be welcome.</div><br> <div>&#160;</div><br> <div>Experience of working clinically in women&#8217;s health, an interest and commitment to teaching undergraduates, the ability to work in a multi professional team and a positive outlook are also essential for this role.</div><br> <div>&#160;</div><br> <div>The post is offered on a part-time (maximum 0.4 FTE) basis and is fixed term for one year.</div><br> <div>&#160;</div><br> <div>We are looking for one candidate to start in early September, and one candidate to start in mid-November. Please clearly indicate your preferred start date in your application.</div><br> <div>&#160;</div><br> <div>Applications for flexible working arrangements are welcomed and will be considered in line with business needs.</div><br> <div>&#160;</div><br> <div>You will be required to upload a CV and Supporting Statement as part of your online application.&#160;Click <a rel="nofollow" href="http://https//www.jobs.ox.ac.uk/cv-and-supporting-statement">here</a>&#160;for information and advice on writing an effective Supporting Statement.</div><br> <div>&#160;</div><br> <div>The closing date for applications is 12.00 noon on Monday 1st July. Interviews will be held on Wednesday 17th July.</div> </div>