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- Tasks: Analyse health data to improve cardiovascular risk prediction and collaborate with clinical researchers.
- Company: Leading academic institution in Edinburgh dedicated to impactful health research.
- Benefits: Competitive salary, diverse staff benefits, and opportunities for professional growth.
- Why this job: Make a real difference in community health through advanced data analytics.
- Qualifications: Experience in epidemiology, data science, and statistical modelling required.
- Other info: Join a dynamic team focused on innovative health solutions.
The predicted salary is between 30000 - 50000 £ 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 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
✨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 to slide into their DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects, especially those related to cardiovascular risk prediction. This will not only highlight your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for interviews by brushing up on statistical modelling techniques and recent advancements in health data analytics. We recommend practising common interview questions and even doing mock interviews with friends or mentors to build confidence.
✨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 about their job search. Let’s get you that dream role together!
We think you need these skills to ace Epidemiologist & Data Scientist — Health Data Analytics
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 would apply them to improve cardiovascular risk prediction using NHS data.
✨Showcase Your Collaboration Skills
Since this role involves working closely with clinical researchers, be prepared to share examples of past collaborations. Highlight how you’ve effectively communicated complex data insights to non-technical stakeholders.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Review common epidemiological methods and data analysis techniques. Practise explaining your thought process clearly and concisely, as this will demonstrate your analytical thinking.
✨Express Your Passion for Health Research
Let your enthusiasm for improving community health shine through. Share any relevant experiences or projects that reflect your commitment to health research and how you envision contributing to the institution’s goals.