Data analyst (medical imaging and statistics)

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.