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- Tasks: Conduct impactful research on immune drugs and adverse events using large datasets.
- Company: Leading UK university in Manchester with a focus on diversity and innovation.
- Benefits: Flexible working arrangements and a supportive team environment.
- Why this job: Join a prestigious consortium and contribute to vital epidemiological research.
- Qualifications: PhD in epidemiology or related field, plus experience with statistical analysis.
- Other info: Great opportunity for career advancement in a dynamic research setting.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK university in Manchester seeks a Post-Doctoral Research Associate to join the Arthritis UK Musculoskeletal Epidemiology Consortium. The role involves investigating adverse events related to immune drugs through quantitative research.
Successful candidates will hold a PhD in epidemiology or a related field and have experience with large datasets and statistical analysis. This position supports flexible working arrangements and values diversity within its team.
Postdoctoral Epidemiology Researcher — Real-World MSK Data in Manchester employer: The University of Manchester
Contact Detail:
The University of Manchester Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Epidemiology Researcher — Real-World MSK Data in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former researchers in the field, especially those connected to the Arthritis UK Musculoskeletal Epidemiology Consortium. A friendly chat can give us insights into the role and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your quantitative research skills. Be ready to discuss your experience with large datasets and statistical analysis. We want to show them that we’re not just qualified, but passionate about the work!
✨Tip Number 3
Don’t forget to highlight your flexibility and adaptability during the interview. Since this position supports flexible working arrangements, we should emphasise how we thrive in diverse environments and can adjust to different team dynamics.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to align perfectly with what they’re looking for in a Postdoctoral Epidemiology Researcher.
We think you need these skills to ace Postdoctoral Epidemiology Researcher — Real-World MSK Data in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD in epidemiology and any relevant experience with large datasets. We want to see how your skills align with the role, so don’t be shy about showcasing your statistical analysis expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about musculoskeletal epidemiology and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Experience: When detailing your experience, focus on projects or roles that involved quantitative research and adverse events related to immune drugs. We’re looking for specific examples that demonstrate your ability to handle the responsibilities of this position.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our diverse and flexible team!
How to prepare for a job interview at The University of Manchester
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and how it relates to the role. Be prepared to discuss your PhD work in detail, especially any quantitative methods you've used, as this will show your expertise in epidemiology.
✨Familiarise Yourself with MSK Data
Since the role focuses on musculoskeletal data, brush up on relevant studies and datasets. Understanding the current landscape of MSK research will help you engage in meaningful discussions during the interview.
✨Prepare for Statistical Analysis Questions
Expect questions about statistical methods and tools you’ve used. Be ready to explain your approach to analysing large datasets and how you’ve handled challenges in your previous research.
✨Emphasise Flexibility and Diversity
This position values flexible working and diversity, so be sure to highlight your adaptability and any experiences that showcase your commitment to inclusivity in research settings.
