Data Science is a multi-disciplinary field, bringing together different computational and mathematical skills with a strong knowledge of clinical trials and healthcare. Our data science team complements our high-quality statistics, programming and data management services to provide a more diverse set of services to enable the best use of data and metadata. With technical expertise in data processing, analytics, machine learning, artificial intelligence, algorithm development and visualisations, the group applies strong scientific domain knowledge to support pharmaceutical, biotechnology and medical device companies with their data-related challenges.

Development of bespoke visualisations to support data interpretation and monitoring Algorithm development and the use of machine learning to support precision medicine e.g. predictive biomarkers Maximising the value of patient-generated data such as wearables and biosensors. Application of machine learning and artificial intelligence techniques to maximise the value from clinical data and its metadata

Identification of data sources and associated analytics to answer key questions Development of data visualisations enabling teams to independently explore data Analysis of historical and operational data, providing data insights and driving benefit Integration & analysis of clinical data alongside Electronic Healthcare Records (EHRs), Real World Data (RWD) and other omics datasets