Job overview

An exciting opportunity to be involved at the cutting edge of life sciences innovation in east London.

Barts Life Sciences is our programme for using research, innovation and technology to transform health and care services. This covers a broad range of activities from discovery science, product development and testing, and the adoption of new technology. Life sciences in Whitechapel is firmly based on the principles of partnership and collaboration, with patients, clinicians, a wide range of commercial and other academic partners, local government and the local community. These partnerships will be founded on a common ambition and desire to achieve significant health, economic and social benefit for the people of east London, the UK, and internationally.

Proposed interview date: 28/11/24

Main duties of the job

This role is for a talented senior data or computational scientist to lead the data science team at Barts Life Sciences, developing applications using AI and machine learning to create innovative health care products and services. Using the Barts Health real-world health data assets, the postholder will have access to technical expertise, data and computational power, knowledge and innovation to lead a range of innovative data science projects.

You will have a PhD in data science or related field and significant experience in developing and managing data science projects in health care. 

Working for our organisation

Barts Health is one of the largest NHS trusts in the country, and one of Britain’s leading healthcare providers.

The Barts Health group of NHS hospitals is entering an exciting new era on our improvement journey to becoming an outstanding organisation with a world-class clinical reputation. Having lifted ourselves out of special measures, we now have the impetus and breathing space to chart a fresh course in which we are continually striving to improve all our services for patients.

Our vision is to be a high-performing group of NHS hospitals, renowned for excellence and innovation, and providing safe and compassionate care to our patients in east London and beyond. That means being a provider of excellent patient safety, known for delivering consistently high standards of harm-free care and always caring for patients in the right place at the right time. It also means being an outstanding place to work, in which our WeCare values and behaviours are visible to all and guide us in how we work together.

We strive to live by our WeCare values and are committed to promoting inclusion, where every staff member has a sense of belonging. We value our differences and fully advocate, cultivate and support an inclusive working environment.

We particularly welcome applications from Black, Asian and minority ethnic candidates as they are underrepresented within Barts Health at this band.

Detailed job description and main responsibilities

We are dedicated to being an outstanding place to work and will work with you to get the best experience. We know flexible working is not a one size fits all and will mean something different to everyone. We are inclusive, so if you are interested in flexible working, please speak to the recruiting manager.

The full job description provides an overview of the key tasks and responsibilities of the role, and the person specification outlines the qualifications, skills, experience, and knowledge required. For both documents, please view the attachment/s below.

To arrange a call to discuss this opportunity in more detail, contact Sven Bunn, Life Sciences Programme Director ()

Person specification

Experience

Essential criteria

•Significant experience managing, structuring, and analysing NHS hospital level data, including building statistical models and working with different clinical data terminologies •Significant experience leading complex data science projects with multiple stakeholders within a hospital context •Familiarity with a number of numerical methods and computational approaches to the analysis and interrogation of mathematical models •Experience of implementing research and technical policies including changes to practices with impact on other disciplines, or translates research findings into policies affecting clinical and technical service provision

Communication

Essential criteria

Able to present complex information effectively to senior staff, senior consultants and other senior Executive / Non-executive staff within and outside the NHS, including the ability to present complex or technical information clearly and the ability to work with others to understand the problems they face.

Knowledge

Essential criteria

•Advanced theoretical and practical data science knowledge gained through significant experience in health data science or computational biology •Understanding of digital health innovations

Qualifications

Essential criteria

PhD qualification or equivalent expertise/experience in a quantitative scientific discipline (eg mathematics, statistics, engineering, physics, computational biology, computer science or a relevant discipline).