Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Research Fellow - Statistical Data Scientist

University of Southampton
Eastleigh
1 week ago
Create job alert
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: .


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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Research Fellow – Statistical Data Scientist

Research Fellow – Statistical Data Scientist

Research Fellow – Statistical Data Scientist

Postdoctoral Research Fellow in Health Economics / Health Data Science

Senior Research Fellow in Epidemiology and Data Science

Postdoctoral Data Scientist Engineer for the Quantitative Neuroradiology Initiative

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.