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- Tasks: Apply your epidemiological skills to enhance public health research using CPRD data.
- Company: Join the MHRA's Clinical Practice Research Datalink team in London.
- Benefits: Enjoy flexible working arrangements and a permanent full-time role.
- Other info: Work hybrid with 8–12 days on-site each month for a dynamic experience.
- Why this job: Make a real difference in public health while developing your research expertise.
- Qualifications: Relevant degree and skills in R, with knowledge of epidemiology and statistics.
The predicted salary is between 40000 - 50000 £ per year.
MHRA is seeking an IR Researcher for their Clinical Practice Research Datalink team in London. This full-time, permanent role involves applying epidemiological and statistical expertise to enhance public health research through CPRD data.
Key responsibilities include:
- Delivering research projects
- Managing data extracts
- Developing CPRD Interventional Research Services
Candidates should hold a relevant degree and possess skills in R, alongside knowledge of epidemiology and statistics. The position offers flexible working arrangements with a requirement of 8–12 days on-site per month.
Epidemiology Data Researcher — Hybrid employer: Mhra
Contact Detail:
Mhra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Epidemiology Data Researcher — Hybrid
✨Tip Number 1
Network like a pro! Reach out to professionals in the epidemiology field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Prepare for interviews by brushing up on your R skills and understanding the latest trends in public health research. We recommend practising common interview questions related to data analysis and epidemiology to show you’re ready to hit the ground running.
✨Tip Number 3
Don’t just apply anywhere; focus on roles that excite you! Use our website to find positions that match your skills and interests, like the Epidemiology Data Researcher role at MHRA. Tailor your approach to each opportunity.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. We suggest mentioning something specific from your conversation to make it personal and memorable.
We think you need these skills to ace Epidemiology Data Researcher — Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that align with the role of an Epidemiology Data Researcher. We want to see how your background in R, epidemiology, and statistics makes you a perfect fit for our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about public health research and how your expertise can contribute to our Clinical Practice Research Datalink team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any relevant research projects or data analyses, be sure to mention them in your application. We love seeing real examples of your work and how you've applied your skills in practical settings.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Mhra
✨Know Your Epidemiology
Make sure you brush up on your epidemiological concepts and statistical methods. Be ready to discuss how you've applied these in past projects, especially using R. This will show that you’re not just familiar with the theory but can also put it into practice.
✨Familiarise Yourself with CPRD
Do some research on the Clinical Practice Research Datalink and its significance in public health. Understanding its role will help you articulate how you can contribute to their team and enhance their research capabilities.
✨Prepare for Practical Questions
Expect questions that require you to demonstrate your problem-solving skills with data. Think of examples where you've managed data extracts or delivered research projects, and be ready to explain your thought process clearly.
✨Show Your Flexibility
Since the role offers hybrid working, be prepared to discuss how you manage your time and productivity in a flexible environment. Highlight any previous experiences where you successfully balanced remote work with on-site responsibilities.