Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead advanced analytical research using big data to influence public health and policy.
- Company: Prominent research university in Wales with a focus on population data science.
- Benefits: Part-time role in a supportive and diverse work environment.
- Why this job: Make a real difference in public health through innovative data analysis.
- Qualifications: Strong reputation in data analysis and alignment with research interests.
The predicted salary is between 36000 - 60000 £ per year.
A prominent research university in Wales is seeking a Senior Research Fellow in Statistics to lead advanced analytical research within the Population Data Science group. The role involves developing methods utilizing large-scale linked data to impact public health and policy. Applicants should have a strong reputation in data analysis and be aligned with the group’s research interests. This is a fixed-term, part-time position with a supportive and diverse work environment.
Senior Statistics Research Fellow – Big-Data Health Analytics in Swansea employer: Swansea University / Prifysgol Abertawe
Contact Detail:
Swansea University / Prifysgol Abertawe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Statistics Research Fellow – Big-Data Health Analytics in Swansea
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the Population Data Science group. A friendly chat can give us insights into the team culture and what they really value in a candidate.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio of your previous work in big-data health analytics. We want to see how you've tackled complex data challenges and made an impact on public health.
✨Tip Number 3
Be ready for a deep dive! Expect technical interviews where you'll discuss your analytical methods and thought processes. Brush up on your statistics knowledge and be prepared to explain your approach clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Senior Statistics Research Fellow – Big-Data Health Analytics in Swansea
Some tips for your application 🫡
Show Off Your Stats Skills: Make sure to highlight your experience in data analysis and any relevant projects you've worked on. We want to see how your skills align with our focus on big-data health analytics!
Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to the specific role and the Population Data Science group’s interests. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and fit for the role.
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!
How to prepare for a job interview at Swansea University / Prifysgol Abertawe
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and methodologies in big-data health analytics. Brush up on your knowledge of large-scale linked data and be ready to discuss how your previous work aligns with the Population Data Science group's research interests.
✨Showcase Your Impact
Prepare examples of how your analytical research has influenced public health or policy in the past. Be specific about the outcomes and how your contributions made a difference, as this will demonstrate your capability to lead impactful research.
✨Engage with the Team's Vision
Familiarise yourself with the university’s current projects and the Population Data Science group’s goals. During the interview, express genuine interest in their work and share how your expertise can complement their vision for advancing public health.
✨Ask Thoughtful Questions
Prepare insightful questions that reflect your understanding of the role and the challenges in big-data health analytics. This not only shows your enthusiasm but also helps you gauge if the position is the right fit for you and your career aspirations.
