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- Tasks: Join a dynamic team to analyse population data and improve health services.
- Company: Swansea University, leading in population data science research.
- Benefits: Competitive salary, USS pension benefits, and full-time contract until January 2028.
- Why this job: Make a real difference in health research and policy through data science.
- Qualifications: Experience in data analysis, preferably in health or social care.
- Other info: Collaborative environment with opportunities for impactful research projects.
The predicted salary is between 39355 - 45413 ÂŁ per year.
ÂŁ39,355 to ÂŁ45,413 per year, together with USS pension benefits.
Contract Type: Contract
Hours: Full time
Disability Confident: No
Closing Date: 13/02/2026
This is a Fixed Term post until January 2028 working full-time. The Population Data Science group at Swansea University supports world-leading research to develop cutting‑edge analytical tools and methodologies to address the most pressing health research challenges. Home to Researchers & Data Scientists who focus on a range of projects and programmes that seek to improve services and people’s lives through population data science research.
This multidisciplinary team works in a fast‑moving, agile environment and is committed to demonstrating the value of data science to a range of technical and non‑technical audiences. Utilising the Secure Anonymised Information Linkage (SAIL) Databank’s rich anonymised population‑scale, individual‑level, linked data sources to answer important population‑level questions that inform policy and evaluate national programmes and projects.
We are looking for a Research Officer & Data Scientist to join our team who will work closely with various stakeholders, organisations, and groups. Our team regularly collaborates as part of many funded research projects and programmes nationally and internationally.
Applications are sought from applicants with skills and experience in routine data analysis (preferably in health or social care) and a background in any of the following areas: epidemiology, statistics, operational research, or related informatics, to work in research and data science.
The Research Officer & Data Scientist will be part of the Social Care Linked Data Lab (CARE Lab), a multidisciplinary collaboration aiming to advance the understanding of the population receiving care and support in Wales through linked adult social care data with linked health and administrative data sources, to inform service planning and strategies to reduce inequalities, and to demonstrate the value of linked administrative data for adult social care research.
Research Officer & Data Scientist in Swansea employer: CAREER CHOICES DEWIS GYRFA LTD.
Contact Detail:
CAREER CHOICES DEWIS GYRFA LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Officer & Data Scientist in Swansea
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Swansea University or in the Population Data Science field. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for interviews by brushing up on your data analysis skills and understanding the latest trends in health research. We want to show that we’re not just good on paper but can also talk the talk!
✨Tip Number 3
Tailor our approach! When we apply, let’s highlight our relevant experience in epidemiology or statistics. Show them how our background aligns with their mission to improve services through data science.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can keep us fresh in their minds and shows our enthusiasm for the role. Let’s make sure they remember us!
We think you need these skills to ace Research Officer & Data Scientist in Swansea
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Officer & Data Scientist role. Highlight your experience in data analysis, especially in health or social care, and any relevant skills in epidemiology or statistics. We want to see how your background fits with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about population data science and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Collaboration Skills: Since we work closely with various stakeholders, it's important to demonstrate your ability to collaborate effectively. Include examples of past teamwork or projects where you’ve successfully worked with others to achieve common goals.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the details you need about the position there!
How to prepare for a job interview at CAREER CHOICES DEWIS GYRFA LTD.
✨Know Your Data
Make sure you brush up on your data analysis skills, especially in health or social care. Be prepared to discuss specific projects where you've used data to inform decisions or improve services. This will show your potential employer that you can hit the ground running.
✨Understand the Role
Familiarise yourself with the Population Data Science group and their work. Knowing how they utilise the SAIL Databank and the types of projects they undertake will help you tailor your answers and demonstrate your genuine interest in the role.
✨Prepare for Collaboration Questions
Since this role involves working closely with various stakeholders, think of examples from your past experiences where you've successfully collaborated with others. Highlight your ability to communicate complex data insights to both technical and non-technical audiences.
✨Show Your Passion for Research
Express your enthusiasm for population data science and its impact on health and social care. Share any relevant research interests or projects you've been involved in, as this will help convey your commitment to making a difference in the field.
