Usher Institute

Work with us

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.​

Usher Administrative Secretary

Closing Date: 22-Oct-2019

We have an excellent opportunity for an experienced Administrative Secretary to provide high-level administrative/PA support for the Head of Centre for Global Health Research, undertaking a wide range of administrative duties to ensure the efficient operation of the Centre and contributing to smooth running of the Usher Institute.

Successful candidates will be educated to at least HNC level and will have significant previous experience in a similar role. The work demands close attention to detail, the ability to prioritise, identify and achieve deadlines and use good judgement and initiative throughout. Demonstrable experience of working with confidential data, and using judgement and discretion is also essential.

The post is available from December 2019, full-time (35 hours per week) and open ended.

Please include your CV and a supporting statement with details of how you meet the knowledge, skills and experience required for this post.

Salary:  Ue05 £23,067 - £26,715

Further information

Clinical Support Worker (research)

Closing Date: 22-Oct-2019

This is an outstanding opportunity to join Edinburgh Clinical Trials Unit as part of the Clinical Team. The clinical team manage a variety of simple and complex local and national clinical trials. The successful candidate will, under supervision, provide first class clinical and administrative support to research nurses and medical staff in the recruitment and follow up of patients and trial participants. The clinical team work mainly with the rheumatology department at the Western General Hospital in Edinburgh but also work in other disease areas as specified by each clinical trial. This post will involve direct patient contact and the completion of administrative tasks as required.

Applicants should be a Qualified Clinical Support Worker (SVQ 2) and must be able to work as part of a multidisciplinary team as well as being capable of working independently.

The position is 2 days a week (14hrs) and is available from November 2019 for 2 years.

Salary:  Ue03 £18,009 to £19,912

Further information

Research Fellow

Closing Date: 30-Oct-2019

The Usher Institute is seeking a post-doctoral researcher to work within the University of Edinburgh, a top 20 leading global academic institution, with experience in the application and development of time-series analysis, signal processing, statistical machine learning techniques, linked to the recently announced Health Data Research UK £5 million Scottish Substantive Site (one of only 6 such sites in the UK). The focus of the work is on the application of signal processing and statistical machine learning methods towards the development of diagnosis and classification of heart disease. Our research aims to harness routine electronic patient data to improve the diagnosis and targeting of treatment for patients with heart disease.

The successful candidate will be expected to have a PhD or be near completion in a relevant discipline e.g. Engineering, Mathematics, Physics, or Computer Science (candidates coming from other backgrounds with strong quantitative skills will also be considered). The post holder will require experience in the application and development of time-series analysis, signal processing, statistical machine learning techniques, having demonstrable excellent programming skills (Matlab or R preferred). The post holder will be expected to undertake UK/international travel to meet collaborators and to present work at national and international conferences.

The successful candidate will join a recently established vibrant research group on an exciting inter-disciplinary setting bringing together clinical experts and data scientists.

The post is available from January 2020, full time (35 hours per week) for 30 months with the possibility of extension. Please include your CV and a supporting statement with details of how you meet the knowledge, skills and experience required for this post.

Salary:  Ue07 £33,797 to £40,322

Further information

Chief Operating Officer (COO) - Health Data Research Hub for Respiratory Health (BREATHE)

Closing Date: 31-Oct-2019

We wish to appoint an outstanding Chief Operating Officer who will be a senior player in delivering a new Health Data Research Hub for Respiratory Health (BREATHE). As part of the UK’s Life Sciences Industrial Strategy, BREATHE was awarded £4.6M in August 2019 to deliver the respiratory hub. Our vision is to transform the UK’s respiratory health through creating Findable, Accessible, Interoperable and Reusable (FAIR) respiratory rich datasets; providing expert support to catalyse their responsible use in respiratory research and innovation.

BREATHE is a UK wide consortium involving many of the UK’s leading respiratory academics, and key collaborators from the government, industry and the third sector. The respiratory DIH will be led by Professor Aziz Sheikh and will based in and co-ordinated from the Usher Institute at the University of Edinburgh with satellite offices based at Imperial College London (Dr Jennifer Quint), Leicester (Professor Martin Tobin) and Swansea Universities (Professor David Ford).

Working closely with the leadership team, the post holder will be a senior player in shaping the future of the Hub, setting the vision for the Hub and ensuring delivery of this ambitious project within very tight timescales. Developing partnerships with multiple stakeholders in the private, public and third sectors, the COO will create the engagement strategy and lead the development of a sustainable business model.

Successful candidate will have significant senior level project or programme management experience and proven ability to create a strategic vision.

The post is available from December 2019, full-time (35 hours) until 31st August 2022. Any extension would be subject to a funding review.

Please include your CV and a supporting statement with details of how you meet the knowledge, skills and experience required for this post.

Salary:  Ue09 £52,559 to £59,135

Further information

Postdoctoral Research Fellow in Statistical Genetics

Closing Date: 07-Nov-2019

Based in The University of Edinburgh’s Centre for Medical Informatics within the Usher Institute, this post offers an exciting opportunity for a postdoctoral research fellow to explore the clinical consequences of variation in human ‘stroke genes’ through analysing large-scale genetic data.

This job is ideal for an enthusiastic postdoctoral researcher with a statistical genetics, statistics, bioinformatics, mathematics or computing background, and a keen interest in applying these skills to large-scale genetic data to improve our understanding of health and disease. Led by a clinician, this project offers further experience and/or training in disciplines such as clinical phenomics (e.g. the generation of computable disease phenotypes from routinely collected coded health data) and medicine (e.g. cerebrovascular disease). At the same time, in collaboration with a bioinformatics team, it will provide opportunities to develop data processing and analytical skills. Depending on their career stage, the experience gained from this post can provide the post-holder with a platform to develop objectives and proposals for further own or joint research.

You will have a PhD (or near completion) in a relevant field (see job description for details) with some experience in the statistical or bioinformatic analysis of large genetic datasets. Personal motivation, attention to detail, and the ability to communicate complex information clearly are also essential.

This post is full-time, 35 hours per week, and available for 18 months in the first instance.

Salary:  Ue07 £33,797 to £40,322  

Further information

General Practitioner

Closing Date: 11-Nov-2019

Mackenzie Medical Centre is the clinical arm of the Usher Institute, based within the Centre for Population Health Sciences at The University of Edinburgh. There are eight GPs who all contribute to clinical care and to practice administration. We have an excellent nursing team and a friendly and helpful admin, team which includes a Data/IT Manager. The practice is a training practice and also participates in undergraduate teaching. Due to an increase in our list size, we are looking for a GP to join our friendly and committed team to provide high quality clinical care.

The practice uses Vision and Docman.

We strive to provide a supportive working environment for all the practice staff. In addition to opportunities for informal contact, there is a weekly clinical, multi-disciplinary meeting to share information and to seek advice. There is entitlement of pro rata, paid study leave per year and pro rata annual leave entitlement equivalent to 36 days plus 4 public holidays.

The post is available from January 2020, and is for 4 sessions per week (16 hours), with flexibility in order to secure the right candidate and is fixed term for 18 months in the first instance. All staff members are salaried to The University of Edinburgh. We are a city centre practice with a list size of 8,500 patients. Our practice area covers south east Edinburgh and includes the Old Town, Dumbiedykes, Newington and Prestonfield, plus parts of Marchmont and the Grange.

Please include your CV and a supporting statement with details of how you meet the knowledge, skills and experience required for this post.

Salary:   AC3B £68,638 to £88,023

Further information

Research Fellow

Closing Date: 20-Nov-2019

We wish to appoint an outstanding Research Fellow at the Usher Institute. Reporting to, and working with, Dr Saturnino Luz you will conduct research, including implementation and testing of software, as part of an EC funded programme, SAAM project (Supporting Active Aging through Multimodal coaching). The post holder will co-ordinate a work package to research and test advanced sensing, monitoring, and support mechanisms for monitoring/assessment of older users’ physical and cognitive well-being, and provide recommendations for further system use and development.

You will have a PhD (or near completion) in Informatics, Computer Engineering, Computer Science or related area, or substantial equivalent experience and a good first degree in a relevant subject. You will also have demonstrable experience of machine learning methods for analysis of language and time-based data, and in managing and processing large, heterogeneous data sets. Excellent computer programming skills (C/C++, Java, Matlab, Python, R), with a knowledge of the main machine learning libraries and packages and a demonstrable ability in drafting project reports, papers, and peer-reviewed publications commensurate with an appointment at this level are also crucial to the post.

The post will be taken up as soon as possible and is fixed term to 30th September 2020 (full time – 35 hours/week).

Salary:  UE07 £33,797 to £40,322

Further information