Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to analyse population data and improve health services.
- Company: Swansea University, a leading research institution with a vibrant community.
- Benefits: Competitive salary, excellent work-life balance, and career development opportunities.
- Why this job: Make a real impact on health policies and services in Wales through data science.
- Qualifications: Experience in data analysis, epidemiology, or related fields is preferred.
- Other info: Inclusive workplace welcoming diverse applications and promoting equality.
The predicted salary is between 39355 - 45413 £ per year.
Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right balance of excellent teaching and research, matched by an enviable quality of life. Our stunning waterfront campuses and multicultural community make us a desirable workplace for colleagues from around the world. Our reward and benefits, and ways of working enable those who join us to have enriching careers, matched by an excellent work-life balance.
About The Role
We have 2 Fixed Term positions until March 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 Health and Care Research Wales Evidence Centre, a multidisciplinary collaboration between researchers, policymakers, and service leads across Welsh Government, academia, public health, health and social care, and third-sector organisations in Wales. The Centre will deliver evidence on the most important priorities in Wales across health and social care, and its primary aim is to ensure that policies and services put in place are relevant, effective and result in improvements for the Welsh population and a fairer society.
Equality, Diversity & Inclusion
The University is committed to supporting and promoting equality and diversity in all its practices and activities. We aim to establish an inclusive environment and welcome diverse applications from the following protected characteristics: age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race (including colour, nationality, ethnic and national origin), religion or belief, sex, sexual orientation. As an inclusive and welcoming workplace, we value people for their skills regardless of their background. Applications are welcome in Welsh and will not be treated less favourably than those submitted in English.
Welsh Language Skills
The Welsh language level required for this role is Level 1 - A little. The role holder will be able to pronounce Welsh words, answer the phone in Welsh (good morning/afternoon) and use very basic everyday words and phrases (thank you, please etc.). Level 1 can be reached by completing a 1 hour course. The University is a proud bilingual institution, our Welsh Language Strategy outlines our aspiration to promote the language and enable our staff to engage with the language as an additional workplace skill and as a gateway to new cultural and social opportunities. Applications are welcome in Welsh and will not be treated less favourably than those submitted in English. Welsh speakers have the right to an interview in Welsh. Applicants for a role where Welsh skills are essential are expected to present their application in Welsh and will be interviewed in Welsh, if shortlisted.
Additional Information
Applications for this role will take the format of a CV submission and cover letter.
Research Officer & Data Scientist x 2 in Swansea employer: Swansea University
Contact Detail:
Swansea University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Officer & Data Scientist x 2 in Swansea
✨Tip Number 1
Network like a pro! Reach out to current employees at Swansea University or in the Population Data Science group. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by researching the latest trends in data science and health research. Show us that you're not just passionate but also knowledgeable about the field!
✨Tip Number 3
Practice your responses to common interview questions, especially those related to teamwork and collaboration. We love candidates who can work well with others, so highlight your experience in multidisciplinary settings.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our awesome team.
We think you need these skills to ace Research Officer & Data Scientist x 2 in Swansea
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Officer & Data Scientist role. Highlight relevant skills and experiences that align with the job description, especially in data analysis and health research.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background fits with our mission at Swansea University. Be genuine and let your personality come through.
Showcase Your Data Skills: Since we're looking for someone with strong data analysis skills, be sure to include specific examples of projects or experiences where you've successfully used data to drive decisions or insights. Numbers speak volumes!
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, it shows you’re keen on joining our team!
How to prepare for a job interview at Swansea University
✨Know Your Data
As a Research Officer & Data Scientist, it's crucial to be well-versed in data analysis techniques and methodologies. Brush up on your knowledge of epidemiology, statistics, and operational research. Be prepared to discuss specific projects you've worked on and how you used data to inform decisions.
✨Understand the Role
Familiarise yourself with the Population Data Science group and the Health and Care Research Wales Evidence Centre. Understand their mission and how your skills can contribute to their goals. This will show your genuine interest in the role and help you articulate how you can add value.
✨Prepare for Collaboration Questions
Given the multidisciplinary nature of the team, expect questions about collaboration. Think of examples where you've worked with diverse stakeholders or teams. Highlight your communication skills and how you adapt your approach for technical and non-technical audiences.
✨Show Your Passion for Impact
This role is all about making a difference in health and social care. Be ready to discuss why you're passionate about using data science to improve services and people's lives. Share any relevant experiences that demonstrate your commitment to this cause.
