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- Tasks: Contribute to impactful health research using the innovative OpenSAFELY platform.
- Company: Prestigious UK university with a focus on health data science.
- Benefits: Competitive salary, remote work options, and a supportive research environment.
- Why this job: Make a real difference in health data science and lead innovative research projects.
- Qualifications: Strong data analysis skills and a background in health data.
- Other info: Join a dynamic team with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A prestigious university in the United Kingdom is seeking an epidemiologist, statistician, or health data scientist to work primarily on the OpenSAFELY platform, an innovative and secure data analysis tool. The role involves contributing to impactful research projects while helping lead a new approach to health data science.
Candidates should have strong data analysis skills and a background in health data. Options for remote working are available, and the position offers a competitive salary within a supporting research environment.
OpenSAFELY Health Data Scientist & Epidemiologist employer: University of Oxford
Contact Detail:
University of Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land OpenSAFELY Health Data Scientist & Epidemiologist
✨Tip Number 1
Network like a pro! Reach out to professionals in the health data science field on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those related to health data. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions and scenarios related to epidemiology and health data science. We recommend doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace OpenSAFELY Health Data Scientist & Epidemiologist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in health data science and epidemiology. We want to see how your skills align with the OpenSAFELY platform, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about health data and how you can contribute to our innovative research projects. Keep it engaging and personal – we love to see your personality!
Showcase Your Data Skills: Since this role involves strong data analysis, make sure to mention specific tools and techniques you’re familiar with. Whether it's statistical software or programming languages, let us know what you bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way to ensure your application gets into the right hands quickly. Plus, you’ll find all the details you need there!
How to prepare for a job interview at University of Oxford
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of health data you'll be working with. Brush up on your statistical methods and be ready to discuss how you've applied them in past projects. This will show your potential employer that you have the expertise they’re looking for.
✨Familiarise Yourself with OpenSAFELY
Take some time to explore the OpenSAFELY platform before your interview. Understanding its features and capabilities will allow you to speak confidently about how you can contribute to its development and use in research projects.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or analyse specific datasets. Practise articulating your thought process clearly, as this will demonstrate your analytical skills and ability to think critically under pressure.
✨Show Your Passion for Health Data Science
Be prepared to discuss why you’re passionate about health data science and epidemiology. Share any relevant experiences or projects that highlight your commitment to making an impact in this field. Enthusiasm can set you apart from other candidates!
