Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Research Assistant in Health Data Science and Innovation

University of Edinburgh
Edinburgh
3 days ago
Create job alert
Overview

Grade UE06 £34,610 to £39,906 per annum
College of Medicine and Veterinary Medicine / School of Population Health Sciences / Usher Institute
Full time: 35 hours per week
Fixed Term: available from 1st November 2025 to 31st October 2027

Location: Usher Institute, Edinburgh Bioquarter, EH16 4UX

We will also consider requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular (weekly) on-campus working. The Usher Institute expects a minimum of 40% on campus working.

The Centre for Population Health Sciences at the Usher Institute within The University of Edinburgh is looking for an experienced and enthusiastic Research Assistant in Health Data Science and Innovation.

The Opportunity

This post offers a rare and exciting opportunity to help shape the future of unscheduled and emergency health care in Scotland by harnessing the power of advanced analytics and real-world health data.

As a Research Assistant, you will work in a fast-paced, supportive research environment where data meets decision-making. Supported by senior colleagues, you will contribute to a collaborative team that is working in close partnership with health and community care leaders. Your role will focus on helping to develop and implement data-driven approaches that generate actionable insights. These insights will drive rapid cycles of service improvement and directly inform frontline health care. This work is fully aligned with Scotland\'s Health and Social Care Data Strategy and will contribute to a more responsive, efficient, and equitable health system.

This programme will go beyond data analysis to enable meaningful system-wide transformation. From enhancing urgent care pathways to strengthening community prevention strategies, your contributions will make a real-world impact through data, helping to build a more adaptive health and care system that can meet rising demand with precision and compassion.

Informal enquiries may be directed to Professor Nazir Lone, Professor of Critical Care and Epidemiology ()

Your skills and attributes for success
  • A good undergraduate degree in a relevant subject, or able to demonstrate relevant and equivalent experience
  • Proficiency in at least one statistical programming language (e.g. R, Python)
  • Ability to apply relevant knowledge, skills and techniques in research projects
  • High level of computer fluency with the ability and willingness to quickly become familiar with new applications when required
  • Ability to work well within a multi-disciplinary team

Click to view a copy of the full job description (opens new browser tab).

Please include your CV and a supporting statement with details of how you meet the knowledge, skills and experience required for this post.

Non-University of Edinburgh employees (i.e. external applicants) - please refer to the How to Apply - External Candidate system user guide

Current University of Edinburgh employees (i.e. internal applicants) interested in applying for this role - you must apply as an internal applicant through the People and Money Current Jobs tile. Please refer to the How to Apply - UoE Employee system user guide

As a valued member of our team you can expect
  • A competitive salary
  • An exciting, positive, creative, challenging and rewarding place to work.
  • To be part of a diverse and vibrant international community
  • Comprehensive Staff Benefits, such as a generous holiday entitlement, competitive pension schemes, staff discounts, and family-friendly initiatives. Check out the full list on our staff benefits page and use our reward calculator to discover the total value of your pay and benefits

Championing equality, diversity and inclusion

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT+ equality.

Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages.

The University is unable to sponsor the employment of international workers in this role. International applicants will therefore be unable to apply for and secure a Skilled Worker visa. They will only be able to take up this role if they can demonstrate an alternative right to work in the UK.

Key dates

The closing date for applications is 9 October 2025.

Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.

Work with us | Usher Institute - where inquiring minds work together to improve lives across the world.

Join our growing team of academics and professional services staff and work in a vibrant, multi-disciplinary environment. Our vision is to catalyse the transformation of health in society by working with people, populations and their data.

Our greatest asset is our people, working together to improve public health using evidence-based research.

We are a key applied and translational arm of the Edinburgh Medical School, within the College of Medicine and Veterinary Medicine at The University of Edinburgh. Working with partners across UK and international universities, health and care providers, policymakers, industry and the public is central to our highly collaborative ethos.

About Us

As a world-leading research-intensive University, we are here to address tomorrow\'s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.


#J-18808-Ljbffr

Related Jobs

View all jobs

Research Assistant in Health Data Science and Innovation

Research Assistant / Research Fellow in Epidemiology/Data Science

Research Engineer, Machine Learning - Paris/London

Research Assistant in AI & Machine Learning

Clinical Data Science Programmer

Quantum Computing Specialist, Data Science & Innovation, CIB(UK, Singapore)

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.