Job Description

The Senior Data Analyst will play a leading role in extracting and analysing the linked longitudinal dataset in London, which currently includes Primary Care, Secondary Users Services (SUS), Service Level Agreement Monitoring (SLAM), Mental Health, Community and High-Cost Drugs for North West London.



The role focuses on the data extraction and complex quantitative analysis for methodology that addresses defined research questions. Analytical tasks will also be required to complete feasibility scans for potential studies, whilst approved exploratory work will help a stakeholder's characterise the issues they face, the options they have, or to evaluate the impact of changes made. This requires the postholder to understand why analysis is being undertaken, how the outputs are intended to be used, as well as helping to define how we should undertake the particular method of analysis.



The role also leads on and builds data science models in R or Python to meet user needs using statistical analysis, machine learning and AI approaches.

Key responsibilities include:

Supporting client-facing responsibilities, leading on data modelling and analysis for several concurrent projects.

Supporting the writing of proposals to meet client project briefs, including resource requirements, cost estimates and timescales and the development of new business opportunities and services.

Collecting, interpreting, and writing a wide range of technical specifications to support clinical and operational research and contracts for services.

Leading on the data quality, information governance, data processing and information assurance for the portfolio of projects within ICHP

Using visualization or statistical applications such as R, Python, or Excel to present information and share findings in a creative and appealing manner.



Discover-NOW is a leading Real World Evidence Hub covering the population of over 2.8 million patients in North West London. Its core purpose is to drive discovery through access to high quality, linked longitudinal health data.



At Discover-NOW, we prioritise client need and are focused on providing a range of services. We are working with leading life sciences companies, academia, and wider industry to support data discovery and R&D. We are also supporting the NHS through our analytical capabilities.



We have a long tradition of working with citizens to co-design our services and commercial model.

Our strategic priorities are:

Enable the discovery of new insights and innovation in healthcare Derive revenue from services to maintain and expand the NHS data infrastructure Help maintain public trust in healthcare data sharing

Discover-NOW is hosted by Imperial College Health Partners and is a health data research hub for real world evidence. Discover-NOW not only provides access to a unique depersonalised longitudinal linked dataset across a population of more than 2.8 million but also has an expert team in place to deliver an analytics service wrapper to all our clients.

Your responsibilities will include:

Supporting client-facing responsibilities, leading on data extraction and analysis for several concurrent projects. Lead on and build data science models in R or Python to meet users' needs using statistical, machine learning and AI approaches to solve problems Proactively evaluate how new tools fit into the wider technical landscape, and assess whether they would help solve problems or improve technical implementation and present back to wider analytic team. Enhance and explore new data science and AI methodologies and identify model to problem fit Supporting the writing of proposals to meet client project briefs, including resource requirements, cost estimates and timescales and the development of new business opportunities and services. Collecting, interpreting, and writing a wide range of technical specifications to support clinical and operational research and contracts for services. Leading on the data quality, information governance, data processing and information assurance for the portfolio of projects within ICHP Using visualization applications to present information and share findings in a creative and appealing manner

Key tasks



Extracting, analyzing, and presenting health outcomes/activity in relation to client objectives. Writing complex SQL queries, analyzing data through SQL Management Studio, and having demonstrable understanding of the data warehousing frameworks. Writing complex R or Python scripts, utilizing AzureML, in the data and statistical analysis required. Handing conflicting information and making decisions under uncertainty in the absence of clear guidelines or precedent, seeking advice and verification as necessary from more senior management when appropriate. Undertaking ad-hoc analysis of highly complex and varied datasets upon request from clients, often with little prior warning, under pressure to tight deadlines. Prioritizing and coordinating work for projects and ensuring tight and conflicting deadlines are met. Managing the technical architecture and data loads from multiple sources of the WSIC de-identified server. Analyzing and reviewing the Data Quality of provider datasets and ensuring technical data load processes are in place and mapped to defined specifications of the database. Ensuring change management, release management, and backlog management for the delivery of tasks within de-identified section of the whole systems integrated care project environment. Ensuring ICHP/WSIC assets are maintained, and making use of existing systems to solve business problems. Developing and implementing new information systems and information flows to collect and store data, analyze, and automate information reporting. * Keeping up-to-date knowledge of the technologies/software/tools available for data curation and managing the data integrity within a data warehouse.