Data Scientist/Software Engineer

MOORFIELDS EYE HOSPITAL NHS TRUST; London; On-site; GBP 54,000 - 61,000; Full time

Job summary

An established industry player in ophthalmology is seeking a skilled data scientist to join their innovative Electrophysiology Department. This role involves developing machine learning tools to analyze electrodiagnostic tests and enhance clinical insights. You will collaborate with top professionals in a vibrant environment dedicated to excellence in patient care and research. With a commitment to flexible working and a supportive atmosphere, this position offers a unique opportunity to contribute to groundbreaking advancements in eye health services. Join a team that values equity, kindness, and innovation, and make a meaningful impact on patient outcomes.

Benefits

NHS Pension Scheme

Free 24/7 independent counselling service

Learning and development opportunities

Access to NHS Discount Schemes

Flexible working arrangements

Free Pilates classes

Attractive benefits and discounts

Qualifications

• Educated to PhD level in data science/computer science.
• Experience in database management and machine learning.

Responsibilities

• Develop ML tools for extracting clinically relevant features from imaging data.
• Contribute to AI algorithms for ERG analysis and database management.

Skills

Machine Learning

Database Management

Data Visualization

Coding

Image Processing

Web Technologies

Education

PhD in Data Science/Computer Science

Tools

SQL

JavaScript

Job description

Moorfields Eye Hospital NHS Foundation Trust

About

Moorfields Eye Hospital NHS Foundation Trust is the leading provider of eye health services in the UK and a world-class centre of excellence for ophthalmic research and education. We have a reputation, developed over two centuries, for providing the highest quality of ophthalmic care. We provide a wide range of clinical services, caring for patients with routine ophthalmic needs as well as those with rare and complex conditions.

Our network of over 23 NHS sites across London and the south east of England allow us to provide expert treatment closer to patients’ homes. We manage two commercial divisions: Moorfields private and Moorfields united Arab Emirates.

Our 2,300 staff are committed to sustaining and building on our pioneering legacy and ensuring we remain at the cutting edge of developments in ophthalmology. If you join us, you will be joining our mission to be the leading international centre in the care and treatment of people with eye disorders, driven by excellence in research and education.

As well as doctors and nurses, we employ people in a wide range of careers related to eyes – optometrists, orthoptists, dispensing opticians, and technicians – as well as back office staff in administration, finance, HR and IT.

Based in the vibrant and fast developing high tech quarter centred around City Road, Hoxton and Shoreditch, we have a lively working atmosphere, easy and quick transport links, affordable housing in the coolest new developments right on the doorstep, career development opportunities for staff at all levels, and a range of attractive benefits that include eye care, generous holidays, and an excellent pension scheme.

You don’t have to be looking for a City base to work with us, though – we have a network of satellites across and beyond the capital.

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Key details

Location

SiteMoorfields Eye HospitalAddress162 City RoadTownLondonPostcodeEC1V 2PDMajor / Minor RegionLondon

Contract type & working pattern

ContractFixed term: 21 months (Research position)HoursFull time - 37.5 hours per week

Salary

Salary£54,320 - £60,981 pro rata per annum incl HCASSalary periodYearlyGrade(NHS AfC: Band 7)

Specialty

Main areaAdministrative and Clerical

Moorfields - A global leader in Ophthalmology

We are Moorfields Eye Hospital NHS Foundation Trust. Founded in 1804, Moorfields Eye Hospital is a world-class centre of excellence for eye health services, ophthalmic research, and education.

With more than 2,300 staff we are proud to be supported by one of the most diverse workforces in the NHS. Every year we treat more than 700,000 patients at City Road in central London and at our 22 satellites sites, and, in partnership with the UCL Institute of Ophthalmology and Moorfields Biomedical Research Centre we lead one of the most impactful ophthalmic research programmes in the world.

We train many of the leading eye care clinicians in the UK and internationally and have a global reputation for quality and professionalism in ophthalmic care. In addition, we also operate commercial divisions that provide care to private patients in both London and the Middle East.

This is an exciting time to join Moorfields. The pandemic fast-tracked a huge amount of innovation which is changing the way we work and deliver care. Construction is under way on Oriel, our new eye care, research, and education centre being built in Camden. The new centre will be flexible and modern, enabling us to bring together healthcare, eye research and education under one roof for the first time.

If you want to be part delivering world class eye health services and you share our values: excellence, equity, and kindness, then we would love to hear from you!

Job overview

The Moorfields Electrophysiology Department plays a central role in both research and clinical activity. The Department performs a number of different electrodiagnostic tests on patients, including Electroretinograms (ERGs). ERGs record the electrical signals produced by the retina in response to light stimuli and are used routinely to objectively assess and monitor retinal function in a wide range of inherited and acquired retinal disorders. ERGs are notoriously difficult to interpret, thus far eluding routine automated analysis and requiring experienced scientists/clinicians for accurate evaluation. Advances in clinically applicable artificial intelligence (AI) and digital access to medical databases offer the possibly of using AI and in particular Machine Learning (ML) for ERG interpretation.

The Department has already initiated ML analysis of ERG data, involving a multidisciplinary team and collaboration with University College London (UCL). The present part-time role will extend research work in this field, involving extraction and interrogation of ERG legacy data, and determine the potential value and applicability of AI to ERG interpretation and examine the possibility of providing new diagnostic insights.

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The successful applicant will work in collaboration with Moorfields and UCL collaborators to develop novel automated analyses of a large and detailed clinical ERG dataset. They will have the task to generate an AI tool capable of automated bulk extraction and ML interrogation of ERG data. They will also develop an AI-based decision support tool using algorithms with embedded safety features, for diagnostic and deep phenotyping purposes, using supervised and unsupervised AI methods. The project is expected to lead to the development of a prototype for future research and real-life clinical applications.

Working for our organisation

At Moorfields, we provide more than just an excellent career and great colleagues to work with. We also offer:

• Salary including High-Cost Area Supplement
• Opportunity to join the NHS Pension Scheme
• Free 24/7 independent counselling service
• Learning and development opportunities
• Easy and quick transport links
• A range of attractive benefits and discounts
• Access to Blue Light Card and other NHS Discount Schemes
• Free Pilates classes
• Full support and training to develop your skills
• Flexible working friendly organisation

And so much more! To see the full range of benefits we offer please see our Moorfields benefits document.

Detailed job description and main responsibilities

Understand the available data resources from Moorfields clinical systems.

Independently but also in collaboration with the AI/Data science team, develop ML tools that will allow extracting clinically relevant features from ophthalmic imaging/electrophysiology.

Contribute to the development of webapps for deployment of clinical and imaging data analytics tools to support a ‘learning healthcare system’.

Contribute to the development, validation, and implementation of AI algorithms for ERG analysis.

Contribute to the development of a database management platform for the Electrophysiology Department.

Contribute to the development of AI diagnostic and prognostic models for common and rare retino-choroidal disease

Have working experience in coding, image processing and computer vision, machine learning, and web technologies (javascript).

Have working experience of database management (eg with SQL)

Due to the nature of this position, employment is subject to proof of eligibility to work in the UK, completion of a satisfactory DBS disclosure and two references. We do not offer visa sponsorship for roles unless clearly stated in our adverts, so please consider this before applying.

Our commitment to equality, diversity and inclusion is at the heart of our organisational culture. As part of our pledge to take positive action in recruitment we encourage applications from under-represented candidates including BAME (Black, Asian, and Minority Ethnic) and Disabled candidates as we work towards a representative workforce that is able to provide the quality, the dignity and respect and to deliver above and beyond.

Moorfields is a flexible working friendly organisation, and we are committed to helping our employees achieve a work-life balance that is beneficial for health and wellbeing, motivation levels and job satisfaction. Every employee of the Trust has the right to request to work flexibly. Please speak to us about how we might be able to accommodate a flexible working arrangement. If it works for the service, we will do our best to make it work for you.

If we receive sufficient applications, we will close this ad prior to the closing date. You are advised not to delay submitting your completed application.

.[email protected]

https://www.moorfields.nhs.uk/work-for-us

Person specification

Essential

Essential criteria

• Educated to PhD level in data science/computer science

Essential

Essential criteria

• Expertise in generating visualisation from datasets

Essential

Essential criteria

• Experience in Database management

Desirable

Desirable criteria

• Experience with machine learning

Documents

• EDD computer scientist JD (, 288.6)PDFKB
• EDD Computer scientist Person spec (, 16.7)PDFKB
• Staff Benefits (, 254.1)PDFKB
• MEH Privacy Notice (, 138.0)PDFKB

Further details / informal visits contact

NameDr Antonio CalcagniJob titleConsultant ElectrophysiologistEmail address [email protected]Telephone number020 7566 2120Additional information

Professor Anthony Robson (Head of Electrophysiology)

[email protected]

020 7566 2120