Data Scientist Assistant

University of Oxford
Oxford
3 days ago
Create job alert

Department of Paediatrics, Oxford Vaccine Group, Churchill Hospital, Oxford About the role 
We have an exciting opportunity for a highly motivated Data Scientist Assistant to join the Oxford Vaccine Group (OVG) as part of the Correlates of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery. The postholder will contribute to the data science and computational workstream of the programme, supporting the analysis and integration of complex datasets generated from vaccination studies, natural infection studies, and controlled human infection models. The role will focus on the processing, management, statistical analysis, and visualisation of immunological, clinical, and microbiological data to enable robust downstream interpretation and AI-driven discovery. Working within a multidisciplinary team of data scientists, computational biologists, immunologists, and microbiologists, the postholder will develop, maintain, and optimise reproducible data analysis pipelines and databases. The role includes contributing to study planning, data interpretation, and reporting, ensuring analytical outputs are robust, harmonised, and suitable for publication and dissemination. The Data Scientist Assistant will support day-to-day computational activities within OVG, including workflow development using systems such as Snakemake and Nextflow, bioinformatic and statistical analyses, and the maintenance of clinical trial databases. The postholder will be expected to use version control and collaborative code management platforms (e.g. Git/GitHub) as standard practice for developing reproducible and maintainable analytical workflows. The role requires a self-motivated and well organised individual who can communicate effectively with the line manager and wider team to support programme objectives. You will be working in a growing department within the Medical Sciences Division. The Department of Paediatrics is a world leader in child health research and hosts internationally renowned research programmes in drug development, gastroenterology, haematology, HIV, immunology, neuroimaging, neuromuscular diseases and vaccinology. The Oxford Vaccine Group is a world-leading academic research group conducting clinical and translational studies to advance vaccine development working with a diverse portfolio funded by industry, government and charitable organisations. This position is offered full-time on a fixed-term contract initially for 2 years with the possibility to extend provided further external funding is available. About the department 
The Department of Paediatrics has been honoured with the Athena Swan Gold award, a national gender equality charter, recognising the Department's innovative policies and practices. We are committed to the professional development of our staff by providing up to ten paid days annually for skill enhancement and allowing applications for additional training funding. By joining us, you will have the opportunity to contribute to a forward-thinking department. We welcome new staff with ideas who are willing to shape the future of the department that thinks about its staff and wellbeing. In addition to the University of Oxford , the Department of Paediatrics sponsors weekly exercise classes such as yoga and bootcamp sessions as well as a choir. For staff on work visas, we also offer financial assistance towards visa renewal fees. These activities are designed to promote physical and mental wellbeing among staff members.

Related Jobs

View all jobs

Postdoctoral Research Assistant in Health Data Sciences

Sr. Data Scientist

Risk Management - Data Scientist Associate

Data Scientist (Full Stack)

Manufacturing Data Scientist

Senior Data Scientist

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.