Research Team Lead at the Bennett Institute

University of Oxford
Oxford
1 year ago
Applications closed

Related Jobs

View all jobs

Reader in Artificial Intelligence

Reader in Artificial Intelligence

Lecturer / Senior Lecturer in Artificial Intelligence

Reader in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security)

Reader in Artificial Intelligence

Reader in Artificial Intelligence

We are seeking

two experienced researchers to play a lead role in the Bennett Institute for Applied Data Science, supporting the development and use of our platforms like OpenSAFELY and OpenPrescribing, and the fast-growing research team. This is an opportunity for someone who enjoys leadership, supervising research and running small teams. You will also be helping to lead a new way of delivering health data science mainly using the OpenSAFELY platform. OpenSAFELY is a highly secure, modular, open-source data analysis platform, combining best practice from both academia and the open-source software community. The Bennett Institute is a mixed team of clinicians, software developers, policy experts, and traditional academic researchers, all pooling skills and knowledge. We have a strong track record of delivering high impact research in Nature, Lancet and BMJ; real-world impact on policy and clinical practice; and high impact services such as OpenSAFELY, OpenPrescribing and TrialsTracker. Our mission is to create a modern, open, collaborative ecosystem for health research. We do this by shipping code, delivering papers, building capacity, and advocating for new ways of working. We aim to lead by example: recurring tasks are turned into packages and libraries; all code is shared openly for review and re-use; analyses are delivered in Jupyter notebooks for others to read, evaluate, re-purpose, and learn with. We want to meet outstanding researchers who share this vision and have, or can rapidly develop, the skills needed to deliver it with us. We are particularly interested in researchers who will contribute to our open science community-building work, our codebase, our open teaching resources, or our policy work. You will be based in the Radcliffe Primary Care Building within the Nuffield Department of Primary Care Health Sciences, Woodstock Road, Oxford, OX2 6GG but you will be able to agree a pattern of regular remote working with your line manager. These positions are full-time and fixed-term until 31 October 2026 in the first instance. “Committed to equality and valuing diversity”

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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.