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- Tasks: Analyse Adult Social Care data to uncover service inequalities and contribute to impactful research.
- Company: Leading higher education institution in Manchester with a focus on social care.
- Benefits: Full-time role with potential for hybrid work and opportunities for publication.
- Why this job: Make a difference in social care while developing your research and data analysis skills.
- Qualifications: Research experience and strong data analysis skills required.
- Other info: Exciting opportunity starting 1 March 2026 with potential for career advancement.
The predicted salary is between 28800 - 48000 £ per year.
A leading higher education institution in Manchester seeks an experienced individual for a full-time data analysis role focusing on Adult Social Care data. The project, funded by the National Institute for Health and Care Research, investigates services' inequalities and offers opportunities for publication.
Candidates should have research experience and strong data analysis skills. The position starts on 1 March 2026, and hybrid arrangements may be considered.
NIHR Social Care Data Research Assistant 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 NIHR Social Care Data Research Assistant in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of social care and data analysis. Attend relevant events or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to social care. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data analysis and social care. Practice articulating your research experience and how it relates to the role. Confidence is key, so get comfortable talking about your achievements!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job. Plus, applying directly shows your enthusiasm and commitment to the position. Let’s get you started on this exciting journey!
We think you need these skills to ace NIHR Social Care Data Research Assistant in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your research experience and data analysis skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about Adult Social Care data and how you can contribute to our project. Keep it engaging and personal – we love to see your personality!
Showcase Your Skills: When filling out your application, be specific about your data analysis skills. Mention any tools or software you’re proficient in, as well as any relevant methodologies you’ve used in past research. We’re keen to know what you bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way to ensure your application gets into the right hands, and we can’t wait to see what you’ve got!
How to prepare for a job interview at The University of Manchester
✨Know Your Data
Make sure you brush up on your data analysis skills before the interview. Familiarise yourself with common tools and techniques used in Adult Social Care data analysis, as well as any relevant software that might be mentioned in the job description.
✨Research the Institution
Take some time to learn about the higher education institution you're applying to. Understand their mission, values, and recent projects, especially those related to social care. This will help you tailor your answers and show genuine interest.
✨Prepare for Inequality Discussions
Since the project focuses on service inequalities, be ready to discuss your thoughts on this topic. Think of examples from your past research experience where you've encountered or addressed inequalities in data.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the specific goals of the project, potential challenges, or opportunities for publication. This shows your enthusiasm and helps you gauge if the role is the right fit for you.
