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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.
Research Nurse
Closing Date: 21-Aug-2019
This is an outstanding opportunity to join a research project within the Usher Institute/ IGMM at the University of Edinburgh. Based at the Western General Hospital in Edinburgh, the successful applicant will be responsible for the identification and recruitment of patients with symptoms suggestive of colorectal cancer in a new research study funded by CRUK. Eligible patients will be identified and recruited from NHS endoscopy units, CT scanning units and colorectal units mainly from the Western General Hospital (Edinburgh). Some patients will be recruited from the Royal Infirmary (Edinburgh), Queen Margaret Hospital (Dunfermline) and St John's Hospital (Livingston). The post-holder will be responsible for various aspects of study management including patient recruitment, blood sampling and the collection of study specific information.
Applicants should be a Registered Nurse with relevant post-registration experience in a clinical research environment. You must have a proven ability to work independently and the drive to push projects forward ensuring that relevant guidelines and regulations are adhered to. Attention to detail, excellent communication and organisational skills are essential for this post. In addition, applicants must have their own transport and be prepared to travel within Edinburgh, West Lothian and Dunfermline.
Business Development Executive
Closing Date: 30-Aug-2019
We are seeking dynamic, proactive candidates with experience of developing new business opportunities in areas of relevance to human health research.
As a Business Development Executive at Edinburgh Innovations, you will join an expanding, enthusiastic team delivering new business opportunities at one of the world’s leading universities, in a city regularly voted one of the best places to live in the UK.
On a daily basis you’ll engage and visit a range of new client companies, seeking out new opportunities to secure funding through academic/industry research collaboration. This is an exciting opportunity to work with the University of Edinburgh’s world class College of Medicine & Veterinary Medicine and engage with all aspects of related industry.
There are two posts available, both focusing on developing industry links to our five human health Research Institutes: the Usher Institute of Population Health Sciences and Informatics, the MRC Institute of Genetics and Molecular Medicine, the Institute for Regeneration and Repair, the Queen’s Medical Research Institute and Edinburgh Neuroscience.
As the first point of contact for developing new business in the targeted areas, you will construct effective and compelling propositions to industry, enabling a range of new revenue opportunities for the University.
This is a new role requiring a confident and highly motivated professional with experience in developing compelling propositions, industrial engagement, and opportunity development.
Data Scientist in Cancer Health Data Science
Closing Date: 06-Sept-2019
We are seeking a post doctoral data scientist to lead on a new collaboration in Cancer Health Data Science. The role is hosted by the Centre for Medical Informatics, Usher Institute in collaboration with the Edinburgh Cancer Centre, Institute of Genetics and Molecular Medicine, and the Institute of Health Informatics, University College London, on behalf of the Cancer Research UK Brain Cancer Centre of Excellence and Health Data Research UK.
The post-holder will ignite new biological- and data-intensive health research, and collaborations through cross-disciplinary technological advances, e.g. in data-driven innovation, imaging and phenotypic screening. The post-holder will lead a number of research projects by deriving value from patient-focused clinical data, e.g. determining the response or relapse of any residual tumour after surgery or after drug or radiation therapy, and in linked healthcare datasets derived from the broad range of healthcare datasets available from NHS Scotland and other national data providers. The post holder will work with their counterpart at UCL to map-out numbers of brain tumour patients of different types by age and date across Scotland/London and more broadly across the UK, build longitudinal trajectories and examine co-morbidities, tumour recurrence, repeat surgery, deaths and other relevant outcomes in the consented Edinburgh and London sub-cohorts.
The successful candidate will be expected to have a PhD degree or equivalent in a relevant quantitative discipline such as bioinformatics, data science, statistical epidemiology, information systems engineering or computer science, advanced skills in at least one statistical software package (e.g. R) and scripting skills and experience in at least one coding language (e.g. Perl/ Python/ BASH).
Data Scientist in Cancer Health Data Science
Closing Date: 06-Sept-2019
We are seeking a data scientist to work on a new collaboration in Cancer Health Data Science. The role is hosted by the Centre for Medical Informatics, Usher Institute in collaboration with the Edinburgh Cancer Centre, Institute of Genetics and Molecular Medicine, and the Institute of Health Informatics, University College London, on behalf of the Cancer Research UK Brain Cancer Centre of Excellence and Health Data Research UK.
The post-holder will ignite new biological- and data-intensive health research, and collaborations through cross-disciplinary technological advances, e.g. in data-driven innovation, imaging and phenotypic screening. The post-holder will develop a number of research projects by deriving value from patient-focused clinical data, e.g. determining the response or relapse of any residual tumour after surgery or after drug or radiation therapy, and in linked healthcare datasets derived from the broad range of healthcare datasets available from NHS Scotland and other national data providers. The post holder will work with their counterpart at UCL to map-out numbers of brain tumour patients of different types by age and date across Scotland/London and more broadly across the UK, build longitudinal trajectories and examine co-morbidities, tumour recurrence, repeat surgery, deaths and other relevant outcomes in the consented Edinburgh and London sub-cohorts.
The successful candidate will be expected to have a PhD degree (or near completion) or equivalent in a relevant quantitative discipline, such as bioinformatics, data science, statistical epidemiology, information systems engineering or computer science, advanced skills in at least one statistical software package (e.g. R) and scripting skills and experience in at least one coding language (e.g. Perl/ Python/ BASH).
Statistician / Epidemiologist
Closing Date: 06-Sept-2019
We wish to appoint a statistician/epidemiologist with experience of managing and analysing large, complex routine datasets. Based in The University of Edinburgh’s Usher Institute, this post offers an exciting opportunity to work on a 30 month MRC/NIHR funded project examining trajectories of physical disease accrual and multimorbidity in middle and early old age, and bidirectional associations with depression.
You will need a PhD (or considerable equivalent experience and training), experience of advanced statistical modelling, and the ability to communicate your findings to diverse audiences. Excellent written, verbal and interpersonal communication skills are crucial to this role.
This post is full-time (35 hours per week), available from September 2019 and is fixed-term to 28 February 2022.
Research Fellow Academic Research
Closing Date: 16-Sept-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.