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For Companies At a Glance
- Tasks: Join a dynamic team to analyse population data and tackle health research challenges.
- Company: Swansea University, a leading research institution with a vibrant community.
- Benefits: Enjoy a competitive salary, excellent work-life balance, and professional development opportunities.
- Why this job: Make a real difference in health and social care through impactful data science.
- Qualifications: Experience in data analysis, epidemiology, or related fields is essential.
- Other info: Be part of a diverse, inclusive workplace that values your unique skills.
The predicted salary is between 36000 - 60000 £ per year.
About The University
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) Databanks 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 and Data Scientist x 2 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 Research Officer and Data Scientist x 2 in Swansea
✨Tip Number 1
Network like a pro! Reach out to current employees at Swansea University on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Population Data Science group.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills and understanding the latest trends in health research. We want to see how you can apply your knowledge to real-world problems, so think of examples from your past work that showcase your expertise.
✨Tip Number 3
Show your passion for population data science! When you get the chance to speak with the hiring team, let them know why you're excited about the role and how you can contribute to improving services and people's lives through your work.
✨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 amazing team at Swansea University.
We think you need these skills to ace Research Officer and Data Scientist x 2 in Swansea
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Research Officer and Data Scientist. 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 population data science and how your background makes you a great fit for our team at Swansea University.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of projects or experiences where you've successfully applied your analytical skills, particularly in health or social care contexts.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets the attention it deserves!
How to prepare for a job interview at Swansea University / Prifysgol Abertawe
✨Know Your Data Science Stuff
Make sure you brush up on your data analysis skills, especially in health or social care. Be ready to discuss specific methodologies you've used and how they can apply to the projects at Swansea University.
✨Understand the Role and the Team
Familiarise yourself with the Population Data Science group and their current projects. Knowing how your role fits into the bigger picture will show your enthusiasm and commitment to contributing to their mission.
✨Prepare for Collaboration Questions
Since this role involves working with various stakeholders, think of examples where you've successfully collaborated in a team. Highlight your communication skills and how you can bridge the gap between technical and non-technical audiences.
✨Show Your Commitment to Diversity
Swansea University values equality and diversity, so be prepared to discuss how you can contribute to an inclusive environment. Share any experiences you have that demonstrate your commitment to these values.
