At a Glance
- Tasks: Analyse clinical data and conduct research on cerebral small vessel diseases.
- Company: Join the University of Edinburgh, a world-class institution with a vibrant community.
- Benefits: Competitive salary, flexible working options, and comprehensive staff benefits.
- Other info: Be part of a diverse team committed to equality and innovation.
- Why this job: Make a real impact in medical research while developing your skills in a supportive environment.
- Qualifications: Experience in data analysis, statistics, and medical imaging required.
The predicted salary is between 48822 - 48822 £ per year.
Grade UE07: £41,064 - £48,822 per annum; pro rata if part-time
CMVM / School of Neurological and Cardiovascular Sciences / Centre for Clinical Brain Sciences
Full-time: 35 hours per week
Fixed-term: 12 months (in the first instance)
Together we can do great things. Be part of something bigger. We offer careers and roles in just about every area you can think of. Whether you’re looking to take the next step in your current specialism, explore a new challenge, or broaden your experience, we offer opportunities where you can flourish and make a real difference. Our people come from a wide range of backgrounds, each bringing their abilities and experiences to our organisation, helping us thrive and innovate together.
The University of Edinburgh is a world-class organisation. We look for the best in the field across all disciplines and provide a working environment where academics can develop their careers and passion for their chosen subject area. We offer the full range of academic roles and have a genuine focus on our students' performance and wellbeing.
The Opportunity:
We are looking for an experienced data analyst with expertise in statistics, programming and data management to join our team conducting world-leading research into cerebral small vessel diseases. This role is suitable for someone with experience of analysing data from clinical datasets, in particular physiological (including sleep data), cognition, risk factors, neuroimaging, sociological measures and health registry-linked data in relevant disease cohorts (small vessel disease, stroke). The post-holder will undertake a range of analyses of clinical studies of cerebral small vessel diseases, including brain MRI analysis and large longitudinal datasets. The successful candidate will be expected to manage and curate the data effectively, and publish scientific results in a timely fashion.
Your skills and attributes for success:
- Expertise in statistical approaches and models, analytical techniques and methods
- Experience of working with large clinical cohort studies including health registry-linked data
- Understanding of medical image analysis methods and principles used in neuroimaging of vascular disease, ageing and neurodegeneration
- Experience in medical research data management
- A good track record of publications in relevant fields.
This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
The University isn’t just any employer. We are part of a local community and a contributor to global thinking, progress and research. In Edinburgh, you are in one of the world’s most attractive cities with active arts and social sectors, while working in a University that has made significant contributions to society, medicine, physics and teaching for over four centuries. Our people have helped create the modern world and are working on more ground-breaking technologies and practices.
We are a place where everyone is welcome and offer a range of policies and benefits designed to support you in building the right meaningful flexibility that works for you. A career with us has a range of other benefits that can be tailored to your lifestyle:
- Working within one of the world’s leading universities
- Interesting work
- Good salary/pay rates
How to apply
Please include the following documents in your application:
- CV
- Cover letter
As a valued member of our team, you can expect:
- A competitive salary.
- An exciting, positive, creative, challenging and rewarding place to work.
- To be part of a diverse and vibrant international community.
- Comprehensive Staff Benefits, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family-friendly initiatives, and flexible work options.
Championing equality, diversity, and inclusion. The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter, and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. We welcome applications from all qualified candidates.
Prior to any employment commencing with the University, you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages. The University may be able to sponsor the employment of international workers in this role. This will depend on a number of factors specific to the successful applicant.
Please note if the role is offered on a part-time basis, it may result in sponsorship being dependent on a number of factors specific to the successful applicant or the role no longer meeting the Home Office’s criteria for sponsorship.
Key dates to note: The closing date for applications is 28 August 2026. Unless stated otherwise, the closing time for applications is 11:59 pm (UK time). If you are applying from outside the UK, the closing time shown on our adverts will automatically adjust to your browser’s local time zone.
Data analyst (medical imaging and statistics) employer: University of Edinburgh
The University of Edinburgh is an exceptional employer, offering a vibrant work culture that prioritises equality, diversity, and inclusion. With over 400 years of history, it provides unparalleled opportunities for professional growth and development within a supportive community of more than 17,000 staff and 50,000 students. As a leading research-intensive university, it empowers its employees to drive organisational transformation and innovate in a dynamic environment, making it a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Data analyst (medical imaging and statistics)
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We think you need these skills to ace Data analyst (medical imaging and statistics)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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