Job Description

Job number

MED05442

Faculties

Faculty of Medicine

Departments

Institute of Global Health Innovation

Salary or Salary range

57,785 - 69,365 per annum

Location/campus

St Mary's Campus - Hybrid

Contract type work pattern

Full time - Fixed term

Posting End Date

21 Oct 2025

About the role

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This is an exciting opportunity for a motivated and experienced Data Scientist to join our dynamic team at Imperial College London to support the delivery of a portfolio of projects within the NIHR Imperial Biomedical Research Centre's (BRC) Digital Health theme, the NIHR North West London Patient Safety Research Collaboration (NWL PSRC) Using integrated care data to address patient safety challenges theme and Paddington Life Sciences initiative, spanning translational clinical analytics, Artificial Intelligence and Real-World Evidence.



The Imperial BRC's Secure Data Environment, iCARE, provides a unique platform enabling routinely collected healthcare data to be used for research, evaluation, and direct care returns. The post-holder will work with richly detailed, de-identified health and social care data to deliver new insights, developments and interventions that make a genuine contribution to improving health at person and population level.



This post will also work across the NIHR North West London Patient Safety Research Collaboration (NWL PSRC). The NWL PSRC seeks to address the patient safety challenges of today and tomorrow, by driving uptake of innovations and service transformation by patients, health and social care workers, health systems, policymakers and regulators. We support the development, validation and testing of such interventions.

What you would be doing

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You will be leading on data analytics and visualisation projects, including the development of predictive and advanced analytics models using AI, machine learning and natural language processing (NLP), to solve the most pressing real-world problems facing the NHS.



You will work closely and collaboratively in a multi-disciplinary team of clinicians, allied healthcare professionals, data scientists, programme managers, and data engineers from Imperial College London, Imperial College healthcare NHS Trust, Whole Systems Integrated Care, and other NHS, research, and policy.



You will also provide expertise in evaluating digital technologies and innovations (e.g. computerised clinical decision support interventions) to generate robust evidence of patient and health service benefit.

What we are looking for

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As our ideal candidate, you will have:


A postgraduate degree in data science, health informatics, computer science or a related subject and experience in data engineering. Strong SQL, Python, or R skills and very comfortable with natural language processing, machine learning, statistics and modelling. Previously used structured and unstructured healthcare data and healthcare standards to curate data and create pipelines to answer an analytical question. An excellent eye for detail, enjoy problem-solving, and be able to drive work forward independently and as a team. Excellent verbal and written communication skills with both technical and non-technical stakeholders.

What we can offer you

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Benefit from sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes) Get access to a range of workplace benefits Be part of a diverse, inclusive, and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing.

Further information

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This is a fulltime, fixed term role based at St. Mary's Campus.


If you require any further details on the role please contact: [Erik Mayer] - [

imperial.dcs@nhs.net

/ e.mayer@imperial.ac.uk].



As this post is exempt from the Rehabilitation of Offenders Act 1974, a satisfactory Disclosure and Barring Service (DBS) check, at the appropriate level, will be required for the successful candidate.

Available documents

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Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.



If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.


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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.


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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.