At a Glance
- Tasks: Analyse large datasets and communicate innovative findings on healthy ageing.
- Company: Queen Mary University of London, a leader in research and education.
- Benefits: Competitive salary, flexible working, and various perks.
- Other info: Join a vibrant team at the Charterhouse Square Campus in London.
- Why this job: Make a real impact on health research while developing your data science skills.
- Qualifications: Experience in data analysis and strong communication skills.
The predicted salary is between 35000 - 45000 £ per year.
Queen Mary University of London is seeking a data scientist to support a national research network focusing on healthy ageing. This role involves analyzing large datasets with machine learning techniques to produce innovative findings related to metabolic ageing. The successful candidate will engage with academics, prepare reports, newsletters and present findings.
The position offers a full-time role with competitive salary, flexible working arrangements, and various benefits, based at the Charterhouse Square Campus in London.
Data Scientist & Science Communicator for Healthy Ageing Network in London employer: Queen Mary University of London
Queen Mary University of London is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the field of healthy ageing. With a commitment to employee growth, the university provides access to professional development opportunities, flexible working arrangements, and a supportive culture that values diversity and inclusion. Located at the vibrant Charterhouse Square Campus in London, employees benefit from a rich academic atmosphere and the chance to contribute to meaningful research that impacts society.
Contact Details:
Queen Mary University of London Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist & Science Communicator for Healthy Ageing Network in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthy ageing field on LinkedIn or at local meetups. Engaging with academics and industry experts can open doors and give you insights that might just land you that dream job.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those using machine learning techniques. When you get the chance to chat with potential employers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Practice makes perfect! Before any interviews, do some mock interviews with friends or mentors. This will help you articulate your thoughts clearly and confidently, especially when discussing complex topics like metabolic ageing.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you prepare for your application and connect with the right people. Plus, it’s a great way to show your enthusiasm for the role!
We think you need these skills to ace Data Scientist & Science Communicator for Healthy Ageing Network in London
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your experience with analysing large datasets and any machine learning techniques you've used. We want to see how you can bring innovative findings to the table!
Engage with Your Audience:Since this role involves communicating findings, don’t forget to mention any experience you have in preparing reports or newsletters. We love candidates who can make complex data accessible and engaging!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your background aligns with the goals of the Healthy Ageing Network. It shows us you’re genuinely interested!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Queen Mary University of London
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets you might be working with. Brush up on your machine learning techniques and be ready to discuss how you would apply them to analyse data related to metabolic ageing.
✨Engage with the Research Network
Familiarise yourself with the Healthy Ageing Network and its key players. Show genuine interest in their work and be prepared to discuss how your skills can contribute to their research goals.
✨Prepare to Communicate Findings
Since the role involves preparing reports and newsletters, practice explaining complex data insights in simple terms. Think of examples where you’ve successfully communicated technical information to non-experts.
✨Show Flexibility and Team Spirit
Highlight your ability to work collaboratively and adapt to different working arrangements. Be ready to share experiences where you’ve thrived in a flexible environment or contributed to a team project.
