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Current opportunities to join the Usher Institute.
A summary of current Usher Institute vacancies is provided below. Applications usually close at 5pm on the noted date.
Please note that all Usher Institute vacancies are advertised on the vacancies section of the University of Edinburgh Jobs website, where it is possible to set up personalised email notifications for future vacancies of interest.
Communications and Finance Officer - Innovative Healthcare Delivery Programme (maternity leave)
Closing Date: 25-Apr-2019
Based in The University of Edinburgh’s Usher Institute of Population Health Sciences and Informatics, this post offers an exciting opportunity to provide support to the Innovative Healthcare Delivery Programme (IHDP) and ensure effective external communications and financial administration of the Programme. You will be involved in a range of priority areas including interaction with key stakeholders and core collaborative partners, events, programme finance and the co-ordination and support for the IHDP Joint Strategy Board and various short-life working groups.
Applicants must have a degree and/or considerable experience with a high level knowledge of IT skills including MS Office Word, Outlook, Excel, PowerPoint, web development skills, website maintenance and social media. Experience and skills with Adobe Creative Cloud applications such as InDesign, Photoshop and Illustrator are also essential to the role.
Excellent interpersonal skills, exercising discretion and diplomacy, respect and confidentiality and ability to interact effectively and maintain good staff relationships at all levels within and out with the University with a capacity for independent, accurate, unsupervised work are all integral to the role.
The post is full time at UE06, available from May 2019 and is fixed term for 6 months in the first instance.
Salary: UE06 £27,830 to £32,236
Research Assistant in Surgical Informatics
Closing Date: 07-May-2019
The Surgical Informatics Group is based within The Centre for Medical Informatics and part of University of Edinburgh’s Usher Institute of Population Health Sciences and Informatics. The group uses state of the art data collection tools and analysis techniques to conduct cutting edge health informatics research aimed at improving outcomes for surgical patients. This post offers an exciting opportunity to contribute to innovative research at the interface between data science and medical research.
The successful candidate will contribute to the scientific development and management of a number of research projects at the local, national and international level, for example, developing novel data management strategies for the GlobalSurg Collaborative.
Essential knowledge, skills and experience needed for the job:
• Applicants should be educated to a degree level in a science subject
• A high level of level of computer fluency is essential, as is the ability and willingness to quickly become familiar with new applications when required.
• Experience with the computer terminal, console, command line or shell.• Excellent communication skills (verbal and written) together with a proactive attitude to problem solving.
Desirable knowledge, skills and experience needed for the job:
• Experience of programming and/or scripting (particularly R or Python) together with a proven track record of project management and previous work place experience of data and database management in the research setting would be beneficial.
• Experience with web design applications such as WordPress and/or Bootstrap
• Biomedical knowledge together with knowledge of data governance regulations and practises, including Caldicott Guardian Principles and Medical Ethics Regulations would be beneficial, but full training and support will be provided in these areas.
The post is full time (35 hours per week), with a flexible start date and is fixed term until 31st March 2021.
Salary: UE06 £27,830 - £32,236
Closing Date: 11-May-2019
Based in The University of Edinburgh’s Usher Institute of Population Health Sciences and Informatics, this post offers an exciting opportunity to work with an established research group to contribute to an NIHR funded Programme to evaluate the Optimisation of ePrescribing systems in English hospitals.The Programme is seeking a dynamic research fellow to conduct and write up literature reviews (including systematic reviews and scoping reviews) in the domain of ePrescribing, to evaluate and synthesise literature relevant to the ePrescribing Toolkit, and to conduct a series of interviews, focus groups, expert round-table discussions and observations, and to assess documentary evidence across a number of English NHS sites.Applicants must have at least a Masters level degree in a relevant area, experience of undertaking systematic reviews, experience of qualitative and quantitative data collection methods and analysis, and in-depth knowledge of UK health service organisations.
The Programme is a collaboration between The University of Edinburgh, The University of Birmingham, University Hospitals Birmingham NHS Foundation Trust, The University of Nottingham, The University of Durham and Harvard University. Occasional travel and overnight stays to cities in England are required.
Salary: UE07 £33,199 to £39,609
Closing Date: 19-Apr-2019
We have an excellent opportunity for an experienced Finance Assistant to join our finance team within the Usher Institute at the University of Edinburgh. This is a core post and the work demands close attention to detail with the ability to prioritise, identify and achieve deadlines and use good judgement and initiative. The candidate should have excellent communication skills as they will need to interact and work closely with academic staff, support staff and students.
Candidates should also have considerable administrative experience together with a good standard of education and an aptitude for budgeting and financial management. Knowledge of HE financial systems and procedures is required. A good working knowledge of research grant applications and award processes is desirable.
The post is for 12 months in the first instance and available from June 2019, full time (35 hours per week) however 28 hours/4 days per week would be considered.
Salary: UE06 £27,830 to £32,236
Baillie Gifford Chair in the Ethics of Data and Artificial Intelligence
Closing Date: 07-June-2019
Applications are invited from world-leading scholars for the Baillie Gifford Chair in the Ethics of Data and Artificial Intelligence, a new position supported by a major philanthropic donation.This gift, by global investment firm Baillie Gifford, will support a major programme of path-breaking and impactful research, inspirational education and public engagement, on the ethical challenges posed by the growing use of data and artificial intelligence. The programme will be led by the Chair and will based at the Edinburgh Futures Institute.
The Edinburgh Futures Institute (EFI), is a new inter-disciplinary centre aimed at harnessing the revolution in data, digital and artificial intelligence for social benefit, promoting human flourishing and inclusive economic growth. One of the largest ever investments made by the University, it brings together the arts, humanities and social sciences with data science, to drive solution-focused thinking on a range of key societal challenges: an approach to knowledge production and curation characterised by ethical co-design and undertaken in partnership with government, industry and the wider community.
The establishment of the Baillie Gifford Chair underscores the commitment of the University of Edinburgh to research and teaching excellence in the ethics of data and artificial intelligence. The Chair will build on existing strengths in ethics and data science including the University’s world leading scholarship on ethics across fields such as philosophy, law, sociology, and medicine. The University established the first AI department in the UK in 1965 and has one of the strongest schools of Informatics in Europe, with an internationally leading portfolio of AI research. The University also houses the recently founded Bayes Centre for Data and Artificial intelligence, the Usher Institute for Health and Social Care, and a committed and diverse body of academics across the University already engaged in the applications of data science.
Applicant profile: The University seeks to appoint an outstanding scholar whose research and teaching background is in the ethics of data and artificial intelligence, but who may be working in any discipline. We are not prescriptive as to the subject area background of applicants, but we are looking for a leader with a vision for how data-driven research and innovation can flourish within an ethical framework. As well as providing research leadership in and beyond EFI, the Ballie Gifford Chair will contribute to postgraduate teaching, undergraduate courses, curriculum development and the supervision of research students. The Chair will be based in EFI but will work with data scientists, technologists and researchers across the University, and with external public and private sector partners. They will be charged with engaging the public in the challenges and opportunities posed by data and AI and contributing to EFI’s ambitious programme for community engagement.
Opportunities for Growth and Leadership: Baillie Gifford’s support extends beyond the Chair of Ethics of Data and Artificial Intelligence to the creation of two Chancellor’s Fellowships (tenure track posts for rising research stars) and up to 18 PhD students over the next decade, to be recruited by the Chair: investment which will be matched by the University. There will also be a prestigious annual flagship lecture. The evolving team, under the leadership of the Chair, will be instrumental in furthering the University’s research agenda, taught curriculum and internal policy regarding data management. The team will also have the opportunity to play an important role in the recently announced City Region Deal, and in particular to drive an approach to data analytics and AI that builds and maintains public trust and confidence, and which retains a central focus on what it means to be human in the complex, contested and fast-moving world of machine learning and automated decision-making technologies.
Salary: UE10 and attracts an annual salary on the Professorial scale