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- Tasks: Analyse health data and develop models to improve cardiovascular risk prediction.
- Company: Leading academic institution in Edinburgh with a focus on health research.
- Benefits: Competitive salary, diverse staff benefits, and opportunities for professional growth.
- Other info: Join a collaborative team dedicated to advancing health research.
- Why this job: Make a real difference in community health through impactful research.
- Qualifications: Experience in data analytics and statistical modelling required.
The predicted salary is between 30000 - 40000 £ per year.
A leading academic institution in Edinburgh seeks an Epidemiologist/Health Data Scientist to join their team focused on improving cardiovascular risk prediction using NHS data. This full-time, fixed-term position involves advanced data analytics, statistical modeling, and collaboration with clinical researchers.
Ideal for ambitious professionals, it offers a competitive salary and diverse staff benefits, contributing meaningfully to communities and health research.
Epidemiologist & Data Scientist — Health Data Analytics in Edinburgh employer: The University of Edinburgh
Contact Detail:
The University of Edinburgh Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Epidemiologist & Data Scientist — Health Data Analytics in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of epidemiology and health data analytics. Attend relevant events or webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your data analytics projects, especially those related to cardiovascular risk prediction. Use platforms like GitHub to share your code and analyses. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical modelling knowledge. Be ready to discuss how you would approach real-world problems using NHS data. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged. So, get your application in and let’s make a difference in health research together!
We think you need these skills to ace Epidemiologist & Data Scientist — Health Data Analytics in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in epidemiology and data science. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in advanced data analytics and statistical modelling.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about improving cardiovascular risk prediction and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Collaboration Skills: Since this role involves working closely with clinical researchers, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action, so share those stories that demonstrate your ability to work well with others.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at The University of Edinburgh
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and techniques in health data analytics. Brush up on your statistical modelling skills and be ready to discuss how you’ve applied them in previous roles, especially in relation to cardiovascular risk prediction.
✨Showcase Your Collaboration Skills
This role involves working closely with clinical researchers, so be prepared to share examples of how you’ve successfully collaborated in the past. Highlight any interdisciplinary projects you've been part of and how you contributed to achieving common goals.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Review common epidemiological methods and data analysis techniques. Practise explaining complex concepts in simple terms, as you may need to communicate your findings to non-technical stakeholders.
✨Demonstrate Your Passion for Public Health
Let your enthusiasm for improving community health shine through. Be ready to discuss why you’re passionate about cardiovascular health and how your work can make a difference. This will show that you’re not just looking for a job, but are genuinely invested in the field.