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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: Flexible working, competitive salary, and a supportive work-life balance.
- Why this job: Make a real difference in public health through innovative data science.
- Qualifications: Experience in data analysis, epidemiology, or related fields is essential.
- Other info: Inclusive workplace promoting diversity and offering career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About The University
Swansea University is a researchâled 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 workâlife balance.
About The Role
We have 2 fixed term roles available working fullâtime, one ending on 30th September 2029 and one maternity cover until 30th April 2027. The Population Data Science group at Swansea University supports worldâleading research to develop cuttingâedge 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 fastâmoving, agile environment and is committed to demonstrating the value of data science to a range of technical and nonâtechnical audiences.
Utilising the Secure Anonymised Information Linkage (SAIL) Databanks rich anonymised populationâscale, individualâlevel, linked data sources to answer important populationâlevel 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 ADR Wales (Administrative Data Research Wales), which brings together worldârenowned data science experts, leading academics and specialist teams within Welsh Government to produce evidence that shapes future policy decisions in Wales. The partnership is ideally placed to maximise the utility of anonymous and secure data to shape public service delivery, which will ultimately improve the lives of people in Wales.
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 â 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 1âhour 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. 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 - Population Data Science in Swansea employer: Swansea University / Prifysgol Abertawe
Contact Detail:
Swansea University / Prifysgol Abertawe Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Research Officer and Data Scientist - Population Data Science in Swansea
â¨Tip Number 1
Network like a pro! Reach out to current or former employees at Swansea University on LinkedIn. A friendly chat can give you insider info about the team and the role, plus it shows your genuine interest.
â¨Tip Number 2
Prepare for the interview by diving deep into the Population Data Science groupâs projects. Familiarise yourself with their methodologies and think of how your skills can contribute. This will help you stand out as a candidate whoâs ready to hit the ground running.
â¨Tip Number 3
Showcase your passion for data science! During interviews, share specific examples of how you've used data analysis to solve real-world problems, especially in health or social care. This will demonstrate your practical experience and commitment to making a difference.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre serious about joining the Swansea University community.
We think you need these skills to ace Research Officer and Data Scientist - Population Data Science in Swansea
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Research Officer and Data Scientist role. Highlight relevant skills in data analysis, epidemiology, or statistics that match what weâre looking for. This shows us youâve done your homework and are genuinely interested!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why youâre passionate about population data science and how your experience aligns with our mission. Keep it engaging and personal â we want to get to know you!
Showcase Your Collaboration Skills: Since we work closely with various stakeholders, itâs important to highlight any teamwork or collaborative projects youâve been involved in. Share examples of how youâve successfully worked with others to achieve common goals.
Apply Through Our Website: Donât forget to submit your application through our website! Itâs the best way to ensure your application gets to us directly. Plus, youâll find all the details you need about the role and our team there!
How to prepare for a job interview at Swansea University / Prifysgol Abertawe
â¨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 relate to population data science. This will show that you're not just familiar with the theory but can apply it practically.
â¨Understand the Role and the Team
Take some time to research Swansea University and the Population Data Science group. Familiarise yourself with their projects and how they use the SAIL Databanks. Showing that you understand their work and how you can contribute will definitely impress them.
â¨Prepare for Collaboration Questions
Since this role involves working closely with various stakeholders, be prepared to discuss your experience in collaborative environments. Think of examples where you've successfully worked in a team, especially in multidisciplinary settings, and how you handled any challenges.
â¨Brush Up on Welsh Language Basics
Even if you're not fluent, knowing a few basic Welsh phrases can go a long way. Practice saying 'good morning' and 'thank you' in Welsh. It shows respect for the university's bilingual culture and might just give you an edge in the interview!