Senior Research Fellow Full-time

Senior Research Fellow

Join us as a Senior Research Fellow at the UCL Institute of Health Informatics (IHI), working at the forefront of data-driven research to tackle antimicrobial resistance (AMR) — one of the most urgent global health challenges of our time.

Established in 2014 within UCL's Faculty of Population Health Sciences, IHI conducts high-quality, data-intensive research to improve health outcomes locally, nationally and globally, at the intersection of health data science and epidemiology. Researchers at the institute work alongside a wide range of academic, clinical and industrial collaborators, tackling some of the hardest problems in modern healthcare.

IHI delivers one of the UK's largest and most highly regarded teaching programmes in health informatics and health data science, and hosts one of the four UKRI Centres for Doctoral Training in AI in Healthcare, supporting the next generation of leaders in the field. The Faculty of Population Health Sciences is UCL's largest research-based faculty, comprising eight institutes dedicated to advancing health through innovative research and education.

Learn more at www.ucl.ac.uk/population-health-sciences

We are looking for a Senior Research Fellow to join the RADIX team, funded by the NIHR Biomedical Research Centre at UCLH. AMR causes 1.3 million deaths annually, with projections of 10 million by 2050. You will lead the extraction, linkage and analysis of complex, multi-source electronic health record (EHR) data, applying statistical and machine learning methods to support safer antibiotic prescribing — with a focus on cancer patients and care home residents.

Working with clinicians, software engineers and informatics specialists at UCL and UCLH, you will contribute across the full research lifecycle, from data governance through to clinical decision support tools, publications and translational impact.

This is a full-time or part-time post (80–100% FTE), funded until 31 March 2027, with the possibility of extension.

If you believe you meet the requirements, come and be part of this unique and exciting opportunity and contribute to our mission to improve health outcomes through research.

You will have:

• A PhD in a relevant discipline (data science, health informatics, computer science, statistics or similar), or equivalent professional expertise
• Demonstrable experience working with electronic health record or other complex clinical datasets
• Experience designing and implementing statistical or machine learning methods for health data research
• Proficiency in Python or R, Git, Docker and SQL
• A track record of contributing to peer-reviewed publications or research dissemination
• Excellent interpersonal skills and a collaborative, multidisciplinary working style

Your application must include a CV and supporting statement evidencing the essential and desirable criteria in the job description. Please see the attached job description and person specification for more information.

At UCL, we believe work should fit around life – not the other way around. That's why we offer flexible working options, including part-time roles and job-sharing opportunities wherever possible.

But it's not just about flexibility – it's about feeling rewarded, too.

When you join UCL, you'll enjoy:

• 41 days of holiday (pro rata for part-time staff) – that's 27 days of annual leave, 8 bank holidays, and 6 closure days
• Cycle to work scheme – save money and stay healthy
• Season ticket loan – making your commute more affordable
• On-site gym – fitness made convenient
• Employee Assistance Programme – for confidential wellbeing support when you need it

Whether you're looking to grow your career or simply find a better balance, UCL could be the right place for you.

Learn more about our full range of benefits at: ucl.ac.uk/work-at-ucl/reward-and-benefits

The Institute prides itself on operating in an all-inclusive environment irrespective of personal, physical, or social characteristics.

As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.

We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and women.

You can read more about our commitment to Equality, Diversity, and Inclusion https://www.ucl.ac.uk/equality-diversity-inclusion

Available documents

• download: Job description and person specification.docx