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 focused on innovation.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on student wellbeing and career development.
- Why this job: Make a real impact in medical research while developing your analytical skills.
- Qualifications: Experience in data analysis, statistics, and medical imaging required.
The predicted salary is between 46911 - 57335 £ per year.
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.
14611 - Data analyst (medical imaging and statistics) employer: Allscreens Nationwide Ltd
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StudySmarter Expert Advice🤫
We think this is how you could land 14611 - Data analyst (medical imaging and statistics)
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We think you need these skills to ace 14611 - 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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Craft a Tailored Cover Letter:For a full-time role at Allscreens Nationwide Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at Allscreens Nationwide Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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