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- Tasks: Join us to analyse health data and create impactful decision-support tools.
- Company: Be part of the Oxford PHI Lab, a leader in health data sciences.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a difference in global health by tackling climate-related health challenges.
- Qualifications: PhD or nearing completion in relevant fields with strong programming skills.
- Other info: Collaborative environment with chances to present at conferences and publish research.
The predicted salary is between 39424 - 43968 £ per year.
Location: Botnar Research Centre, Windmill Road, Oxford, OX3 7LD
Fixed term position for 12 months or until 31st August 2027.
The Oxford PHI Lab is seeking a highly motivated data scientist to support our projects on curation and modelling of harmonised health datasets and co-creating publicly available decision-support dashboards and tools to enhance mapping, monitoring, and prediction of global health challenges including mitigating climate-exacerbated global health inequities. This includes a new project funded by the Gates Foundation on real-world data for women’s health.
Responsibilities:
- Develop analysis plans, ethical protocols, standard operating procedures and similar as required for ongoing and future studies as well as undertake related literature reviews.
- Curate and analyse real world health data assets, including data on wider determinants of health e.g. climate.
- Analyse data following pre-specified analysis plan/s and/or approved protocols.
- Lead the programming of R/Python packages for the analysis as well as adapt existing and develop new research methodologies and training materials.
- Report research findings in the form of conference abstracts at national and international conferences and collaborate in the preparation of research publications, and book chapters.
- Lead and/or support the drafting of scientific manuscripts, reports to funders and other materials for other audiences based on the results from research studies.
Qualifications:
- Must hold a PhD/DPhil (or be near completion) in epidemiology, public health, applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical artificial intelligence, environmental epidemiology, climate data sciences, remote sensing, earth observation, public health geography, or a similar field.
- Demonstrable advanced skills in programming in R, Python, SQL, and/or similar languages, together with experience in version control e.g., Git.
- Experience in data visualization and creating digital tools and dashboard using e.g. R Shiny, Power BI, Tableau and/or similar.
- Experience in teaching or demonstrating skills in epidemiology study design, analysis, and interpretation.
- Flexibility to learn new skills and programming languages easily.
- Experience in cleaning and analysing health data e.g., electronic health records, and/or satellite-derived data analysis products and GIS data as well as experience in medical large language models and foundation models e.g., through HuggingFace are desirable.
Application Details:
- Closing date for applications is 12 noon on Monday 16th February 2026.
- Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application.
- Interviews will be held the week commencing 23rd February 2026.
Contact Person: NDORMS Recruitment
Contact Email:
Salary: £39,424 per annum. Grade 7. This is a full time (part time may be considered - minimum 80% FTE).
Postdoctoral Research Assistant in Health Data Sciences in Oxford employer: University of Oxford
Contact Detail:
University of Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Assistant in Health Data Sciences in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the health data sciences field. Attend relevant conferences or webinars, and don’t be shy about introducing yourself to speakers or fellow attendees. You never know who might have a lead on a job or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving R, Python, or data visualisation tools. This is your chance to demonstrate your expertise in curating and analysing health data, so make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to health data sciences. Be ready to discuss your experience with programming languages and data analysis. Practise explaining complex concepts in simple terms, as you might need to communicate your findings to non-experts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Tailor your CV and supporting statement to highlight your relevant experience and skills, particularly those that align with the responsibilities of the Postdoctoral Research Assistant role.
We think you need these skills to ace Postdoctoral Research Assistant in Health Data Sciences in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your relevant experience in health data sciences, programming skills, and any projects that align with our mission at the Oxford PHI Lab. We want to see how you can contribute to our exciting projects!
Craft a Compelling Supporting Statement: Your supporting statement is your chance to shine! Use it to explain why you're passionate about this role and how your background fits perfectly with our needs. Be specific about your skills in R, Python, and data visualisation tools – we love detail!
Showcase Your Research Experience: Don’t forget to mention any research you've conducted, especially if it involves health data or climate-related studies. We’re keen on seeing how you’ve contributed to publications or presentations, so include those achievements!
Apply Through Our Website: Remember, the best way to apply is through our website. It’s straightforward and ensures your application goes directly to us. Plus, it helps us keep track of all applicants efficiently. We can’t wait to see what you bring to the table!
How to prepare for a job interview at University of Oxford
✨Know Your Data Inside Out
Make sure you’re well-versed in the health datasets relevant to the role. Brush up on your knowledge of data curation and analysis techniques, especially in R and Python. Being able to discuss specific projects or methodologies you've worked on will show your expertise.
✨Prepare for Technical Questions
Expect questions about programming and data visualisation tools like R Shiny or Tableau. Practise explaining your thought process when tackling data-related problems. This will demonstrate not only your technical skills but also your ability to communicate complex ideas clearly.
✨Showcase Your Collaborative Spirit
This role involves a lot of teamwork, so be ready to discuss your experience working with others on research projects. Share examples of how you’ve contributed to publications or presentations, and highlight your flexibility in adapting to new ideas and feedback.
✨Engage with Current Health Challenges
Stay updated on global health issues, particularly those related to climate change and health inequities. Be prepared to discuss how your work can contribute to addressing these challenges. Showing genuine interest in the field will set you apart from other candidates.
