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- Tasks: Analyse health data to understand the impact of temperature extremes on people with long-term conditions.
- Company: Join the Big Data in Health Group at the University of Southampton.
- Benefits: Gain valuable experience in health data science with potential for career growth.
- Why this job: Make a real difference in public health by contributing to cutting-edge research.
- Qualifications: Experience in CPRD analysis and strong statistical skills required.
- Other info: Collaborative environment with opportunities for training and cross-disciplinary work.
The predicted salary is between 36000 - 60000 £ per year.
Position
We are seeking a Research Fellow – Statistical Data Scientist to join the Big Data in Health Group at the University of Southampton. The Fellow will work on a UKRI‑funded project investigating how temperature extremes, such as heatwaves and cold spells, affect the health of people living with multiple long‑term conditions (MLTC). The work will focus on analysing CPRD and HES data to understand the effects of extreme temperature on health outcomes (e.g., hospitalisation and mortality) on multimorbidity populations.
Location
The work will be based within the Big Data in Health Group (BDiH) at the University of Southampton, led by Dr Hajira Dambha‑Miller.
About the Role
- Conduct CPRD and HES analyses to quantify temperature‑related health risks in multimorbidity populations.
- Prepare findings for publications, presentations, and interactive visualisations.
- Contribute to monthly consortium meetings, training activities, and cross‑disciplinary collaboration.
- Work independently with strong organisational skills and proficiency in statistical analysis.
This position is initially funded for 15 months with potential for extension.
About You
- Experience in analysing CPRD is essential.
- Statistical/epidemiological expertise.
- Strong writing and presentation skills.
- Ability to work independently, meet deadlines, and contribute effectively to a collaborative, multidisciplinary team.
This is an excellent opportunity to contribute to cutting‑edge health data science with direct policy and public health relevance.
Contact
For an informal discussion about the post please contact Associate Professor Hajira Dambha‑Miller at: H.Dambha-Miller@soton.ac.uk.
Application Details
Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.
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Research Fellow - Statistical Data Scientist employer: University of Southampton
Contact Detail:
University of Southampton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow - Statistical Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the Big Data in Health Group or related fields. A casual chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your statistical analyses, especially if you've worked with CPRD data. Visuals and clear explanations can make you stand out.
✨Tip Number 3
Be proactive! Don’t just wait for job postings. Contact Dr Hajira Dambha-Miller directly for an informal chat about the role. It shows initiative and genuine interest.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the time to apply directly.
We think you need these skills to ace Research Fellow - Statistical Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with CPRD and statistical analysis. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
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 your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Writing Skills: Since strong writing skills are key for this role, consider including examples of your previous publications or presentations. We love seeing how you communicate complex ideas clearly and effectively.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your materials in the right format. Plus, it helps us keep track of your application easily.
How to prepare for a job interview at University of Southampton
✨Know Your Data Inside Out
Make sure you’re well-versed in CPRD and HES data analysis. Brush up on your statistical methods and be ready to discuss how you've applied them in past projects. This will show that you’re not just familiar with the data, but that you can leverage it effectively.
✨Prepare for Technical Questions
Expect questions that dive deep into statistical analysis and epidemiological concepts. Practise explaining complex ideas in simple terms, as you might need to present your findings to a diverse audience. This will demonstrate your ability to communicate effectively within a multidisciplinary team.
✨Showcase Your Writing Skills
Since you'll be preparing findings for publications and presentations, bring along samples of your previous work. Highlight any experience you have with writing research papers or creating visualisations. This will give the interviewers confidence in your ability to contribute to their publications.
✨Engage with the Team Spirit
This role requires collaboration, so be prepared to discuss how you’ve worked in teams before. Share examples of how you’ve contributed to group projects or consortium meetings. Showing that you can work independently while also being a team player will make you stand out.