At a Glance
- Tasks: Create tools for rapid clinical data analysis during disease outbreaks.
- Company: Pandemic Science Institute, part of Oxford University, focused on global health research.
- Benefits: Competitive salary, pension scheme, and the chance to work on impactful projects.
- Other info: Full-time, fixed-term contract for 24 months, funded by the Gates Foundation.
- Why this job: Join a dynamic team making a real difference in public health through data science.
- Qualifications: Masters in statistics or computing, with strong Python coding and data analysis skills.
The predicted salary is between 39424 - 47779 € per year.
We are seeking to appoint a Data Scientist to be a part of a dynamic team creating tools that enable researchers to rapidly capture, process and analyse clinical data during and between disease outbreaks. You will design, build and improve tools and methodologies for data collection and processing in collaboration with members of the ISARIC (International Severe Acute Respiratory and Emerging Infection Consortium) team and international partners.
The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) was created in 2011 to change the paradigm of outbreak response by integrating patient‑centred research as a core component of public health response. It is a grassroots, investigator‑led federation of independent, hospital‑based clinical research networks with operations in 130 countries, undertaking research to characterise and find new treatments for emerging infections.
As the Data Scientist, you will have a key role in applying statistical methods and machine learning techniques to generate robust, actionable evidence from complex health datasets and designing, developing, and maintaining scalable, reusable tools that enable efficient data analysis, interpretation, and evidence generation across different research settings, as well as supporting their use across international research institutions. The role includes designing, adjusting, and using complex data pipelines, as well as validating, documenting, and sharing them. You will identify issues with the tools’ data, functionality, and documentation and make improvements where necessary.
You will lead the analysis of clinical and epidemiological data to generate new evidence and work with an international team to improve the quality of data and evidence by defining better research methods, developing standard data models, and designing machine‑readable data.
The post will suit someone with advanced data management, software engineering and analytical skills, who has excellent interpersonal skills. It is essential that you hold a Masters level degree in statistics, computing or another numerate/related subject. You must have significant experience in data analysis and proficiency in writing Python code for data import and manipulation.
Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date.
This position is offered full time on a fixed‑term contract for 24 months and is funded by the Gates Foundation. Only applications received before 12 midday on 15 June 2026 will be considered. Please quote 186555 on all correspondence.
Salary (£): Standard Grade 7: £39,424 – £47,779 with a discretionary range to £51,983 p.a. (pro rata). This is inclusive of a pensionable Oxford University Weighting of £1,730 per year (pro rata).
Data Scientist in Oxford employer: Corehr
The Pandemic Science Institute at the Li Ka Shing Centre for Health Information and Discovery in Oxford offers an exceptional work environment for Data Scientists, fostering a culture of innovation and collaboration. Employees benefit from engaging in meaningful research that directly impacts public health, alongside opportunities for professional growth through international partnerships and cutting-edge projects. With competitive salaries and a commitment to employee well-being, this role is ideal for those looking to make a significant difference in global health.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to the Pandemic Science Institute or ISARIC. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially any work with Python or machine learning. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your statistical methods and coding skills. Use platforms like StudySmarter to find resources and mock interview questions tailored to data science.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Make sure your CV and supporting statement are tailored to highlight how you meet the selection criteria – this is your chance to shine!
We think you need these skills to ace Data Scientist in Oxford
Some tips for your application 🫡
Tailor Your Supporting Statement:Make sure to customise your supporting statement for the Data Scientist role. Highlight how your skills and experiences align with the selection criteria mentioned in the job description. We want to see how you can contribute to our dynamic team!
Show Off Your Technical Skills:Don’t hold back on showcasing your data analysis and Python coding skills! Provide specific examples of projects where you've applied statistical methods or machine learning techniques. This is your chance to impress us with your technical prowess.
Keep It Concise and Relevant:While we love a good story, keep your CV and supporting statement focused and to the point. Stick to relevant experiences that demonstrate your fit for the role. Remember, quality over quantity is key here!
Apply Through Our Website:Make sure to submit your application through our website. It’s the easiest way for us to receive your documents and ensures you’re considered for the position. Don’t forget to quote 186555 in your correspondence!
How to prepare for a job interview at Corehr
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data you'll be working with. Brush up on your statistical methods and machine learning techniques, as these will likely come up in the interview. Be ready to discuss how you've applied these skills in past projects.
✨Showcase Your Python Skills
Since proficiency in Python is essential for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your approach to data manipulation. Have examples ready that highlight your experience with Python in data analysis.
✨Understand the Organisation's Mission
Familiarise yourself with the Pandemic Science Institute and ISARIC’s goals. Understanding their mission will help you align your answers with their objectives and show that you're genuinely interested in contributing to their work in public health.
✨Prepare Your Supporting Statement
Your supporting statement is crucial. Make sure it clearly addresses how you meet each selection criterion with specific examples. This is your chance to shine, so don’t hold back on showcasing your relevant experience and skills!
