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- Tasks: Analyse population-scale data to drive health research and policy decisions.
- Company: Leading educational institution with a focus on impactful research.
- Benefits: Competitive salary, collaborative environment, and fixed-term contract until January 2028.
- Why this job: Make a real difference in health research while working with diverse stakeholders.
- Qualifications: Expertise in data analysis and background in epidemiology or related fields.
- Other info: Join a dynamic team dedicated to improving public health outcomes.
The predicted salary is between 39355 - 45413 £ per year.
A leading educational institution is seeking a Research Officer & Data Scientist for their Population Data Science group. The role focuses on utilizing population-scale data to inform health research and policy.
Candidates should have expertise in routine data analysis and a background in epidemiology or related fields.
This position offers a collaborative work environment with various stakeholders. The contract is fixed term until January 2028 with a competitive salary range of £39,355 to £45,413 per annum.
Health Data Scientist & Research Officer in Swansea employer: Swansea University
Contact Detail:
Swansea University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Health Data Scientist & Research Officer in Swansea
✨Tip Number 1
Network like a pro! Reach out to professionals in the health data science field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those related to epidemiology. We want to see your expertise in action, so make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions and scenarios related to population data science. We recommend doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for passionate candidates who are eager to contribute to health research and policy.
We think you need these skills to ace Health Data Scientist & Research Officer in Swansea
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and epidemiology. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research you've been involved in!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about health data science and how you can contribute to our Population Data Science group. Keep it engaging and personal – we love to see your personality!
Showcase Collaborative Experience: Since this role involves working with various stakeholders, highlight any past experiences where you’ve successfully collaborated with others. We’re looking for team players who can communicate effectively across different groups!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, you’ll get to explore more about our culture and values!
How to prepare for a job interview at Swansea University
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of population-scale data relevant to health research. Brush up on your routine data analysis skills and be ready to discuss specific methodologies you've used in past projects.
✨Showcase Your Epidemiology Expertise
Prepare to talk about your background in epidemiology or related fields. Think of examples where your knowledge has directly influenced health policy or research outcomes, as this will demonstrate your value to the institution.
✨Collaborative Spirit is Key
Since the role involves working with various stakeholders, be ready to share experiences that highlight your teamwork skills. Discuss how you’ve successfully collaborated with others in previous roles to achieve common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the Population Data Science group and their current projects. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
