Data Scientist

Imperial College Healthcare NHS Trust
London
1 year ago
Applications closed

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Job summary

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.

Main duties of the job

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 us

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 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.

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.

Job description

Job responsibilities

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.

Person Specification

EDUCATION

Essential

Educated to degree level in a technical subject, such as Statistics, Mathematics or Computer Science, and /or equivalent experience and specialist knowledge across a number of data science areas at post graduate level Relevant experience within a similar role.

SKILLS/ ABILITIES

Essential

Specialist knowledge and development expertise in using SQL, Python or R, including use of relevant packages ( Pandas, Scikit-learn). Data management expertise, with a focus on Information Governance, security and robustness Ability to maintain code processes using software such as Python, R with ability to identify innovative uses of data. Predictive modelling via supervised or unsupervised machine learning.

Desirable

Working knowledge of key veteran data sources and types - SACT, RTDS, HES, Imaging, PROMS

EXPERIENCE

Essential

Experience of use of data to derive conclusions and use those to suggest actions and results. Contributions to published work (audit/ research) Experience of producing software and maintain, developing and improving software in response to ongoing developments and changes Experience in assisting people with complex data management issues and resolving queries. Experience in the day-to-day management and coordination of staff including the allocation and prioritisation of work to staff. Experience in handling patient- (or person) level data and managing complex and sensitive issues in organisations. Experience of using knowledge and expertise to help others develop data-driven projects and work

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