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- Tasks: Support exciting evaluation projects using quantitative research methods.
- Company: Prestigious research university in London with a focus on innovation.
- Benefits: Competitive salary, professional development, and a two-year fixed-term contract.
- Why this job: Join a dynamic team and make a real impact through your research skills.
- Qualifications: Background in quantitative methods and experience with R required.
- Other info: Great opportunity for career growth in a supportive academic environment.
The predicted salary is between 28800 - 48000 £ per year.
A prestigious research university in London seeks a Research Assistant (Evaluation Officer) to support ongoing evaluation projects primarily focusing on quantitative research. The successful candidate will have a background in quantitative methods and experience with R. This full-time role offers a two-year fixed-term contract, competitive salary, and opportunities for professional development. Interested applicants should submit a CV and cover letter detailing their qualifications.
Quantitative Evaluation Research Assistant employer: Unist
Contact Detail:
Unist Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Evaluation Research Assistant
✨Tip Number 1
Networking is key! Reach out to professionals in the field, attend relevant events, and connect with alumni from your university. We can help you find those connections through our platform.
✨Tip Number 2
Prepare for interviews by practising common questions related to quantitative research and R. We suggest doing mock interviews with friends or using our resources to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio of your quantitative projects or analyses. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Apply directly through our website! It’s a great way to ensure your application gets noticed. Plus, we often have exclusive job listings that you won’t find elsewhere.
We think you need these skills to ace Quantitative Evaluation Research Assistant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with quantitative methods and R. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative research and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Research Experience: If you've worked on any evaluation projects or have experience in research, make sure to include that in your application. We love seeing practical examples of your work and how you’ve applied your skills in real-world scenarios.
Apply Through Our Website: To make sure your application gets to us without a hitch, apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Unist
✨Know Your Quantitative Methods
Make sure you brush up on your quantitative research methods before the interview. Be ready to discuss specific techniques you've used in past projects and how they contributed to successful outcomes. This will show that you’re not just familiar with the theory but can apply it practically.
✨Show Off Your R Skills
Since experience with R is a key requirement, be prepared to talk about your proficiency with this programming language. Bring examples of projects where you’ve used R for data analysis or visualisation. If possible, consider demonstrating your skills through a small coding challenge or discussing a relevant project.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so think of insightful questions to ask about the evaluation projects you'll be involved in. This shows your genuine interest in the role and helps you gauge if the position aligns with your career goals. Ask about the team dynamics or the types of evaluations they typically conduct.
✨Tailor Your CV and Cover Letter
Before submitting your application, ensure your CV and cover letter highlight your relevant experience in quantitative research and R. Use specific examples that align with the job description to demonstrate your fit for the role. This will make a strong first impression and set you up for success in the interview.
