Clinical Data Engineer

Royal Berkshire Nhs Foundation Trust; Reading; On-site; GBP 45,000 - 60,000; Full time

Job summary

A leading healthcare organization in Reading is looking for a Clinical Data Engineer to enhance healthcare through data. This role involves designing and operationalizing data engineering and AI solutions to support clinical care and operational performance. Ideal candidates will possess strong skills in SQL, Python, machine learning, and predictive analytics. Responsibilities include developing data pipelines, building predictive models, and ensuring compliance with governance standards. This role plays a crucial part in advancing health outcomes and operational efficiency.

Qualifications

• Strong technical capability in SQL, data pipeline architecture, statistical analysis, machine learning, and predictive analytics.
• Experience with SQL, Python, R, and cloud technologies; building high-quality health datasets and data infrastructure.
• Ability to design and develop AI solutions and ensure alignment with an organizational Digital Strategy.

Responsibilities

• Design, build, and operationalise data engineering and AI solutions to support research and clinical care.
• Develop automated data pipelines using SQL, Python, R, and cloud technologies.
• Build predictive models and monitor machine learning applications to improve patient outcomes.

Skills

SQL

Data pipeline architecture

Statistical analysis

Machine learning

Predictive analytics

Python

R

Cloud technologies

Job description

Overview

The Clinical Data Engineer will be instrumental in driving the Health Data Institute's mission to leverage data for improved healthcare outcomes. Collaborating with the Principal Data Scientist, Head of Data Science & Advanced Analytics, multidisciplinary teams and Industry Partners, the Clinical Data Engineer will design, build, and operationalise robust data engineering and AI solutions that power advanced analytics and AI initiatives across the Trust and beyond. This position requires strong technical capability in SQL, data pipeline architecture, statistical analysis, machine learning, and predictive analytics, combined with a sound understanding of clinical and operational environments.

The Clinical Data Engineer will be responsible for developing high-quality health datasets, enhancing data infrastructure, and advising internal teams on best practices in data engineering and analytics. As a technical lead and trusted advisor, the Clinical Data Engineer will help curate bespoke datasets for Advanced Analytics, design and develop AI solutions, shape AI policy, support service innovation, and ensure all solutions align with the Trust's Digital Strategy. The ultimate goal is to turn complex data into actionable insights and tools that strengthen patient care, improve operational efficiency, and inform strategic decisions.

The post-holder will collaborate with internal teams and external partners, contributing to the Trust's Secure Data Environment and Federated Data Platform, and ensuring all work complies with ethical, legal, and governance standards. They will manage data research projects, guide stakeholders, and promote adoption of analytics insights to support service transformation. Acting as a trusted advisor, they will translate complex technical concepts into actionable recommendations, facilitate workshops and training, and support strategic decision-making across clinical, operational, and executive teams, embedding data-driven innovation and best practice throughout the organisation.

Diversity makes us interesting... Inclusion is what will make us outstanding. Inequality exists and the journey to eliminate it is not easy. Every step we take will be a purposeful step forward to deliver a truly inclusive culture where all our people are enabled to deliver outstanding care, where background is no barrier, and where everyone can be their authentic self and we truly represent our patient community.

Responsibilities

• Design, build, and operationalise data engineering and AI solutions to support research, clinical care, and operational performance across the Trust.
• Develop automated data pipelines, implement secure, scalable solutions using SQL, Python, R, and cloud technologies, and lead the adoption of best practices.
• Build predictive and prescriptive models, deploy and monitor machine learning applications, and apply advanced analytics to improve patient outcomes, service efficiency, and workforce wellbeing.
• Collaborate with internal teams and external partners, contribute to the Secure Data Environment and Federated Data Platform, and ensure compliance with ethical, legal, and governance standards.
• Translate complex technical concepts into actionable recommendations, facilitate workshops and training, and support strategic decision-making across clinical, operational, and executive teams.
• Manage data research projects, guide stakeholders, and promote adoption of analytics insights to support service transformation.

Qualifications

• Strong technical capability in SQL, data pipeline architecture, statistical analysis, machine learning, and predictive analytics.
• Experience with SQL, Python, R, and cloud technologies; building high-quality health datasets and data infrastructure.
• Ability to design and develop AI solutions, shape AI policy, and ensure alignment with an organizational Digital Strategy.
• Experience deploying and monitoring ML applications and applying advanced analytics to improve outcomes, efficiency, and wellbeing.
• Ability to work within a Secure Data Environment and Federated Data Platform, adhering to ethical, legal, and governance standards.