Data Scientist (Artificial Intelligence & Digital Health)

Location: Digital Collaboration Space, 1a Sheldon Square, St Mary’s Hospital Campus, London (Hybrid)

About the role:

This is an exciting opportunity for a motivated and experienced Data Scientist to join our 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 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.

What you would be doing:

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:

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:

• The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity
• Benefit from sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes)
• Get access to a range of workplace benefits including a flexible working policy from day 1, generous family leave packages, on-site leisure facilities and a cycle-to-work scheme
• Interest-free season ticket loan schemes for travel
• 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

This is a fulltime, fixed term contract until 30 November 2027 based at St Mary’s Hospital Campus.

If you require any further details on the role please contact:

Erik Mayer – imperial.dcs@nhs.net / e.mayer@imperial.ac.uk

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