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Vacancies within Nuffield Department of Women's and Reproductive Health

There are currently 3 vacancies within Nuffield Department of Women's and Reproductive Health:

Title Closes Salary
Part-time MSc Teaching Fellow (maternity cover) July 1, 2019, noon Grade 7: £32,236 - £39,609 with a discretionary range to £43,267 p.a.
Data Scientist July 15, 2019, noon Grade 7: £32,236 - £39,609 with a discretionary range to £43,267 p.a.
Part-time Clinical Research Manager July 15, 2019, noon Grade 8: £40,792 - £48,677 with a discretionary range to £53,174 p.a.

Part-time MSc Teaching Fellow (maternity cover)

Closes: July 1, 2019, noon; salary: Grade 7: £32,236 - £39,609 with a discretionary range to £43,267 p.a.

<div> <p></p><p>An exciting opportunity has arisen in the Nuffield Department of Women&#8217;s &amp; Reproductive Health. We are looking for a part-time Postdoctoral Teaching Fellow to cover the current postholder&#8217;s maternity leave. The main duties of the role are to assist the Director of the MSc in Clinical Embryology in the teaching and assessment of postgraduate students. You will be based in Winchester House, Oxford Science Park, Oxford, OX4 4GE.</p><br> <p>Your main responsibilities include assisting in the provision of lectures and laboratory practical teaching, supporting examinations and assessments.</p><br> <p>You will have experience of lecturing, laboratory teaching and the supervision of short laboratory research projects. A PhD (or equivalent) in human reproduction or developmental biology is essential. Experience in assessing and providing feedback for written scientific assignments is required along with good scientific writing ability, as evidenced by publication. You will be organised with the ability to prioritise your own workload and have excellent communication skills, both written and oral.</p><br> <p>This position is part-time (60% FTE) and is fixed-term until 28 February 2020. Applications for flexible working arrangements are welcomed and will be considered in line with business needs.</p><br> <p>You will be required to upload a CV and supporting statement as part of your online application.</p><br> <p>The closing date for applications is 12.00 noon on 1 July 2019. Interviews are expected to be held week commencing 8 July 2019.</p> </div>

Data Scientist

Closes: July 15, 2019, noon; salary: Grade 7: £32,236 - £39,609 with a discretionary range to £43,267 p.a.

<div> <p></p><p>The Nuffield Department of Women&#8217;s &amp; Reproductive Health and Oxford Big Data Institute at the University of Oxford are in search of a highly motivated and capable individual to join the Lindgren, Nellaker and INTERBIO-21st groups as a Data Scientist.</p><br> <p>Our research focuses on the integration and analysis of large-scale image data to understand the biological factors underlying placenta traits and materno-fetal conditions. The successful candidate will be working with the groups to perform image analysis of placental histology to extract meaningful phenotypes. The analyses will encompass standard data science analyses, traditional computer vision processing and application of deep neural network models to the data. This will entail training neural networks and application of models to terabyte scale image data for statistical testing. The successful candidate will be responsible for pursuing research projects that align with the group&#8217;s vision to ensure the team reaches its goals and deadlines. The role will require computational skills plus a keen desire to work collaboratively with team members to deliver high-impact science.</p><br> <p>Your responsibilities will include: running analyses on data sets to answer biological questions; summarising and visualising results; writing and documenting pipelines; managing and documenting group data; working with and supporting data and analysis logistics within the group; tracking and logging data in a way that the group and others can easily access and use; helping train new members of the group in learning to use pipelines and access data.</p><br> <p>You will have at least a BSc in computer science, physics, engineering or other quantitative STEM field(s), be an experienced programmer in Python, R and web languages (html/JS/CSS) and have a strong interest in applying Machine Learning to biological questions. You will have experience with high performance computing environments (such as SGE/OpenStack/AWS compute), as well as excellent communication and interpersonal skills. The ability to work in a team and a high level of self-motivation are also essential for this role.</p><br> <p>This post is full-time and fixed-term for 2 years. Applications for flexible working arrangements are welcomed and will be considered in line with business needs</p><br> <p>You will be required to upload a CV and supporting statement as part of your online application.</p><br> <p>The closing date for applications is 12.00 noon on Monday 15 July 2019.</p> </div>

Part-time Clinical Research Manager

Closes: July 15, 2019, noon; salary: Grade 8: £40,792 - £48,677 with a discretionary range to £53,174 p.a.

<div> <p></p><p>The Nuffield Department of Women&#8217;s &amp; Reproductive Health is seeking a motivated Clinical Research Manager to join the Oxford Safer Pregnancy Alliance (OSPREA) and Gynaecology research teams. OSPREA is a joint venture between the University of Oxford and the Oxford University Hospitals NHS Foundation Trust. OSPREA has the aim of facilitating translational clinical research in Maternal, Fetal and Perinatal medicine and provides a vehicle for patient and public involvement. OSPREA coordinates current and future projects. The Gynaecology research nurse/midwives work closely and are part of the OSPREA team.</p><br> <p>You will be responsible for planning and overseeing the set up and management of a variety of trials conducted within OSPREA and Gynaecology within the Nuffield Department of Women&#8217;s &amp; Reproductive Health and will provide essential support to the Director of Research Governance. You should be able to work both as a member of the research team and independently, using your initiative to seek solutions to problems and provide support to the Research Midwives, Nurses and Support staff. Your responsibilities will include trial and data management, financial management as well as team management.</p><br> <p>You will have an MSc (or the equivalent relevant education and experience) in a relevant subject with evidence of continuing professional development and proven experience in clinical research. You will have an understanding and in depth experience of clinical research methodology, good clinical practice, knowledge of all UK regulations for clinical trials and the research governance framework, as well as extensive experience of staff management. You will have a high level of change management skills, with enthusiasm for implementing change and the ability to bring fresh thinking to research processes. Critical and intelligent attention to detail with high standards of accuracy, the ability to work on your own initiative and problem solve, as well as an understanding of the confidential nature of this role are also essential.</p><br> <p>This post is part-time (30 hours per week/0.8FTE) and fixed-term until 31 March 2020. Applications for flexible working arrangements are welcomed and will be considered in line with business needs</p><br> <p>You will be required to upload a CV and supporting statement as part of your online application.</p><br> <p>The closing date for applications is 12.00 noon on Monday 15 July 2019.</p> </div>