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 theme, and 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.
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 (. computerised clinical decision support interventions) to generate robust evidence of patient and health service benefit.
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.
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 and resources designed to support your personal and professional .
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