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- Tasks: Design preference surveys and analyse data using advanced econometric methods.
- Company: Leading research organisation in Manchester with a focus on health preference analytics.
- Benefits: Collaborative environment, professional development, and opportunities for impactful research.
- Why this job: Make a difference in health research while developing your analytical skills.
- Qualifications: Bachelor's degree in economics and proficiency in statistical software like SAS and R.
- Other info: Join a collegial team recognised for high-quality research and career growth.
The predicted salary is between 28800 - 48000 £ per year.
A leading research organization in Manchester is seeking an Associate Research Economist to join their Health Preference Assessment program. The successful candidate will design preference surveys, analyze data using advanced econometric methods, and contribute to reports and presentations.
Applicants should have a Bachelor's degree in economics, proficiency in statistical software like SAS and R, and strong analytical and collaborative skills. This position offers a chance to work in a collegial environment recognized for high-quality research.
Associate Research Economist, Health Preference Analytics in Manchester employer: RTI Health Solutions
Contact Detail:
RTI Health Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Research Economist, Health Preference Analytics in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the health economics field on LinkedIn or at local events. 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 econometric methods and statistical software skills. We recommend practising common interview questions related to data analysis and preference surveys to show off your expertise.
✨Tip Number 3
Showcase your collaborative skills! During interviews, share examples of how you’ve worked effectively in teams. We want to see how you contribute to a collegial environment, just like the one at the organisation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re here to help you every step of the way, so let’s get you that Associate Research Economist position!
We think you need these skills to ace Associate Research Economist, Health Preference Analytics in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in economics and any projects involving preference surveys. We want to see how your skills align with the role, so don’t be shy about showcasing your proficiency in SAS and R!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about health preference analytics and how your analytical skills can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Analytical Skills: In your application, give examples of how you've used advanced econometric methods in past projects. We’re looking for candidates who can demonstrate their analytical prowess, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at RTI Health Solutions
✨Know Your Econometrics
Brush up on your econometric methods before the interview. Be ready to discuss how you've applied these techniques in past projects, especially in health preference analytics. This shows you’re not just familiar with the theory but can also apply it practically.
✨Showcase Your Software Skills
Make sure you’re comfortable discussing your experience with statistical software like SAS and R. Prepare examples of how you’ve used these tools to analyse data and draw insights. This will demonstrate your technical proficiency and readiness for the role.
✨Prepare for Collaborative Scenarios
Since the job emphasises collaboration, think of instances where you’ve worked effectively in a team. Be ready to share how you contributed to group projects, particularly in research settings. This will highlight your ability to thrive in a collegial environment.
✨Practice Your Presentation Skills
As the role involves contributing to reports and presentations, practice explaining complex data findings in a clear and engaging way. You might be asked to present a past project, so having a concise narrative ready will help you stand out.