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- Tasks: Advance innovative research on epidemiological modelling and benchmarking in a collaborative environment.
- Company: Join the University of Oxford's Pandemic Sciences Institute, a leader in health research.
- Benefits: Competitive salary, funded training, and professional development opportunities.
- Why this job: Make a real impact on global health by shaping disease forecasting and outbreak response.
- Qualifications: PhD/DPhil in a quantitative discipline with experience in computational epidemiology or related fields.
- Other info: Work alongside diverse teams and tackle evolving research challenges.
The predicted salary is between 39424 - 47779 ÂŁ per year.
The Pandemic Sciences Institute at the University of Oxford is recruiting a Postdoctoral Research Scientist in Pandemic Epidemiology to advance innovative research on epidemiological modelling and benchmarking. This fullâtime, fixedâterm position supports a project funded by Google.org through its Health AI Programme and is based at the Pandemic Sciences Institute, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Headington, Oxford.
The successful candidate will work within an interdisciplinary research environment to contribute to the development of a benchmarking framework for epidemiological models, encompassing disease forecasting, spatiotemporal outbreak reconstruction, phylodynamic and phylogeographic inference, and epidemiological parameter estimation. The role involves close collaboration with researchers across multiple disciplinesâincluding computational epidemiology, evolutionary biology, computer science, and software engineeringâto design, implement, and maintain robust benchmarking tools that help shape how the field evaluates and compares new modelling and inference methods. You will also have opportunities for funded training and professional development within the Data Analytics and Epidemiology (DAE) group at the institute.
Eligibility Criteria
- Applicants should hold, or be nearing completion of, a PhD/DPhil in a relevant quantitative discipline such as epidemiology, computational biology, computer science, biostatistics, mathematical modelling or another closely related field.
- Candidates must demonstrate a strong interest in infectious disease modelling and interdisciplinary research and should be capable of contributing independently to complex scientific projects.
Required expertise/skills
- Proven experience in computational epidemiology, mathematical modelling or quantitative research relevant to infectious disease dynamics.
- Demonstrated ability to develop and maintain software and technical tools, with proficiency in programming languages such as Python, R, or similar.
- Strong collaborative skills, with the ability to work effectively across disciplinary teams involving scientists, engineers and public health stakeholders.
- Excellent written and verbal communication skills, capable of articulating complex concepts to diverse research audiences.
- Genuine enthusiasm for continuing professional development and the ability to engage with evolving research challenges.
Salary details
The salary for this post is in the range of ÂŁ39,424 to ÂŁ47,779 per year.
Application Deadline
Applications must be received by Monday 16 March 2026 at 12:00 midday (UK time).
Postdoctoral Research Scientist in Pandemic Epidemiology in Oxford employer: RFCSR
Contact Detail:
RFCSR Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Postdoctoral Research Scientist in Pandemic Epidemiology in Oxford
â¨Network Like a Pro
Get out there and connect with folks in your field! Attend conferences, workshops, or even local meetups. We canât stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
â¨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your relevant skills and experiences. We recommend preparing a few examples of your work in computational epidemiology or modelling that you can share during conversations.
â¨Follow Up After Interviews
Donât let your interview be the last they hear from you! A quick thank-you email can go a long way. We suggest mentioning something specific from your conversation to remind them of your enthusiasm and fit for the role.
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We think you need these skills to ace Postdoctoral Research Scientist in Pandemic Epidemiology in Oxford
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the role of Postdoctoral Research Scientist in Pandemic Epidemiology. Highlight your relevant experience in computational epidemiology and any interdisciplinary projects you've worked on. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your genuine enthusiasm for infectious disease modelling and explain why you're a great fit for our team. Donât forget to mention any specific projects or experiences that relate directly to the role.
Showcase Your Technical Skills: Since this role requires proficiency in programming languages like Python or R, make sure to highlight your technical skills clearly. Include any relevant projects or tools you've developed that demonstrate your ability to contribute to complex scientific projects.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. Itâs the best way for us to receive your application and ensures you donât miss out on any important updates regarding your application status!
How to prepare for a job interview at RFCSR
â¨Know Your Stuff
Make sure you brush up on your knowledge of epidemiological modelling and the specific projects at the Pandemic Sciences Institute. Familiarise yourself with recent advancements in infectious disease dynamics and be ready to discuss how your background fits into their research goals.
â¨Show Off Your Skills
Be prepared to demonstrate your programming prowess, especially in Python or R. Bring examples of past projects where you've developed software or technical tools, and be ready to explain your thought process and problem-solving strategies.
â¨Collaboration is Key
Highlight your experience working in interdisciplinary teams. Share specific examples of how you've successfully collaborated with scientists, engineers, or public health stakeholders, and emphasise your ability to communicate complex ideas clearly to diverse audiences.
â¨Ask Thoughtful Questions
Prepare insightful questions about the role and the research environment. This shows your genuine interest in the position and helps you gauge if it's the right fit for you. Consider asking about the current challenges in pandemic modelling or opportunities for professional development within the team.