Data Scientist

IMPERIAL COLLEGE HEALTHCARE NHS TRUST; Remote; GBP 100,000 - 125,000; Full time

Job summary

A leading healthcare organization is seeking a data analyst to automate the Op RESTORE patient navigation pathway for veterans. This role involves developing algorithms and a digital platform to enhance service quality and data collection. The ideal candidate will have experience in natural language processing and data analysis, with a passion for advocating for veterans' data. Remote working is available with occasional travel into London. Join a vibrant team dedicated to innovative patient care.

Benefits

Career development

Flexible working

Wellbeing initiatives

Cycle to Work scheme

Car lease schemes

Season ticket loan

Qualifications

• Experience with data synthesis from medical records.
• Knowledge of algorithm development for patient navigation.
• Experience with digitalized data collection platforms.

Responsibilities

• Develop an automated patient navigation platform for veterans.
• Create a digital platform for efficient information collection.
• Analyze patterns in OpRESTORE data to improve service quality.
• Identify strengths and weaknesses in data sources.
• Advocate for veterans' data analysis across the trust.
• Support skills development in computing and programming.
• Encourage data and analytics usage across the trust.

Skills

Natural language processing

Data analysis

Machine learning

Programming

Advocacy for data analysis

Job description

Overview

Op RESTORE is an NHS service hosted by Imperial College Healthcare NHS Trust that supports individuals who have served in, or are leaving, the UK Armed Forces and have continuing physical health injuries and related medical problems attributed to their time in the Armed Forces.

The post holder will work on a new project looking to digitalise and automate the Op RESTORE patient navigation pathway. Op RESTORE is the national veteran’s physical health and well‑being service which supports individuals with service‑related injuries navigating NHS and military charity pathways. The post holder will be working on automating the synthesis of data from medical records using natural language processing, developing a smart referral questionnaire to improve data capture, and building a machine learning algorithm to automate parts of the health navigation journey. Although this role is funded by the NHS, the postholder will spend much of their time based within Imperial College as part of Professor Aldo Faisal’s research group. They will also need to liaise with military charities and other statutory services.

Please note this is a remote working post – the expectation is that the postholder will be based at their home with occasional travel into London or other parts of England.

Responsibilities

• Development of an algorithm that allows automated patient navigation platform for veterans in the OpRESTORE pathway.
• Development of a digitalised platform through which clinical information can be directly collected from the service user, or from GPs in a more efficient and digitalised format.
• Identification of patterns in the OpRESTORE data and development of reports that can lead to improvement in both data and service quality.
• Identification and development of key strengths and weaknesses in OpRESTORE data source locally, regionally and nationally.
• Act as an advocate for veterans’ data analysis across the trust, and more widely (including nationally and internationally).
• Develop own skills in computing and programming and support the development of those skills in others.
• Support a wider move towards the use of data and analytics across the trust and more widely.

About the team and place of work

At Imperial College Healthcare you can achieve extraordinary things with extraordinary people, working with leading clinicians pushing boundaries in patient care. Become part of a vibrant team living our values - expert, kind, collaborative and aspirational. You’ll get an experience like no other and will fast forward your career.

Benefits

Benefits include career development, flexible working and wellbeing, staff recognition scheme. Make use of optional benefits including Cycle to Work, car lease schemes, season ticket loan or membership options for onsite leisure facilities.

Equal opportunities

We are committed to equal opportunities and improving the working lives of our staff and will consider applications to work flexibly, part time or job share. Please talk to us at interview.

Application information

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 overviews please view the Job Description attachment with the job advert.

This advert closes on Tuesday 10 Feb 2026.