Anaesthesia Technologist

Job Number
MED05520
Faculties
Faculty of Medicine
Departments
School of Public Health
Salary or Salary Range
£49,017 - £57,472 per annum
Location/Campus
White City Campus - Hybrid
Contract Type Work Pattern
Full time - Fixed term
Posting End Date
4 Jan 2026

About the Role
Do you want to shape how artificial intelligence is applied to real-world health challenges in low- and middle-income countries? We are seeking a Research Associate in AI for Health Data Systems to join a Gates Foundation-funded collaboration to strengthen Ethiopia’s health data ecosystem. You will design and implement AI/ML methodologies and lead capacity‑building activities with Ethiopian partners to deliver practical impact on national health priorities such as vaccine uptake and child health.

What You Would Be Doing

• Lead AI-driven data analysis and modelling workflows for public health decision-making.
• Build secure, reproducible AI/ML pipelines using modern tools and large language models.
• Co-design, deliver and evaluate priority use cases with Ethiopian peers, ensuring knowledge transfer.
• Mentor and train local practitioners in applied AI/ML techniques tailored to the Ethiopian context.
• Translate technical outputs into accessible dashboards, reports and policy briefs for stakeholders.
• Contribute to manuscripts, internal reporting and competitive grant/fellowship bids.

What We Are Looking For

• PhD (or near completion) in Computer Science, Data Science, Epidemiology or a related field with a strong AI/ML component.
• Proven hands-on application of AI/ML to real‑world datasets (ideally health/public sector).
• Strong programming skills (e.g. Python; PyTorch, JAX, HuggingFace).
• Excellent communication and collaboration with diverse stakeholders (academia, policy makers).
• Evidence of mentoring/training and community building.
• Experience working internationally, ideally in LMIC and ideally sub‑Saharan Africa.
• Experience working with secure data connectors (e.g. MCP), modern LLMs/agentic tooling.
• Background in global health/epidemiology.
• Interest in gender equity and bias mitigation in AI.

What We Can Offer You

• A major international project with real‑world impact in global health.
• Mentoring from leading scientists plus hands‑on training in AI, modern statistics and health data science.
• Collaboration through the Machine Learning & Global Health Network (MLGH).
• Opportunities to publish in high‑quality journals and present at leading conferences.
• Development of teaching, supervision and grant‑writing skills.
• The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
• Grow your career: gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression.
• Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).
• Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.

Further Information
This is a full‑time post based at Imperial College London’s White City Campus.
This role is for a fixed‑term contract until 30 June 2027.

About Imperial
Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact.
Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.
As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.
This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

Our Culture
We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages.
Our values are at the root of everything we do and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.