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- Tasks: Conduct research in epidemiology and analyse real-world data to drive public health insights.
- Company: Join a leading UK research institution with a focus on impactful public health research.
- Benefits: Enjoy a competitive salary, excellent benefits, and flexible hybrid working options.
- Why this job: Make a difference in public health while working with a dynamic and passionate team.
- Qualifications: PhD in a relevant field and strong statistical analysis skills; NLP experience is a bonus.
- Other info: Great opportunity for career growth in a collaborative research environment.
The predicted salary is between 30000 - 50000 £ per year.
A leading UK research institution is seeking an enthusiastic researcher for a postdoctoral role focused on epidemiology and data analysis. The ideal candidate will hold a PhD and possess a strong understanding of statistical analysis, with skills in natural language processing being a plus.
This full-time position offers a competitive salary and excellent benefits, along with the possibility of hybrid working arrangements. Join a dynamic team at the University of Manchester and contribute to impactful research in public health.
Research Associate – Real-World Data & Epidemiology in Manchester employer: Uag
Contact Detail:
Uag Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate – Real-World Data & Epidemiology in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the University of Manchester on LinkedIn. A friendly chat can give us insider info about the team and the role, plus it shows our genuine interest.
✨Tip Number 2
Prepare for the interview by brushing up on your statistical analysis skills. We should be ready to discuss how we've applied these in real-world scenarios, especially in epidemiology. Practice makes perfect!
✨Tip Number 3
Showcase our passion for public health! During interviews, let’s share why this field excites us and how we can contribute to impactful research. Authentic enthusiasm can really set us apart.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can keep track of our application status easily. Let’s make it happen!
We think you need these skills to ace Research Associate – Real-World Data & Epidemiology in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in epidemiology and data analysis. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD work and any projects that involved statistical analysis or natural language processing.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your enthusiasm for the role and the institution. We love seeing candidates who are genuinely excited about contributing to public health research, so let your passion come through.
Showcase Your Skills: Be specific about your technical skills in your application. If you’ve got experience with statistical software or programming languages, make sure to mention them. We’re looking for someone who can hit the ground running, so highlight what you bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our team there!
How to prepare for a job interview at Uag
✨Know Your Research
Make sure you’re well-versed in the latest trends and findings in epidemiology and real-world data analysis. Brush up on your PhD research and be ready to discuss how it relates to the role. This shows your passion and commitment to the field.
✨Statistical Savvy
Since a strong understanding of statistical analysis is crucial, prepare to discuss specific methodologies you’ve used in your previous work. Be ready to explain your thought process and how you approach data interpretation, as this will demonstrate your analytical skills.
✨Highlight NLP Skills
If you have experience with natural language processing, don’t hold back! Prepare examples of how you’ve applied these skills in your research. This could set you apart from other candidates and show your versatility in handling different types of data.
✨Engage with the Team
Research the team at the University of Manchester and their recent projects. During the interview, ask insightful questions about their work and express your enthusiasm for contributing to their research. This not only shows your interest but also helps you gauge if the team is the right fit for you.
