Medical Statistics and Data Scientist

Moorfields Eye Hospital NHS Foundation Trust; Greater London; On-site; GBP 42,000 - 66,000; Full time

Job summary

Moorfields Eye Hospital NHS Foundation Trust is seeking a Medical Statistics and Data Scientist to provide statistical and data science expertise for a diverse ophthalmic research portfolio within the Moorfields Reading Centre and Clinical Research Facility.

You will work with clinicians, researchers and external collaborators to design analyses, manage datasets, and develop predictive models, contributing to publications, grant applications and regulatory reporting.

Qualifications

• Post graduate qualification in a subject related to statistics or data science (Masters level or equivalent).
• PhD in a related subject is desirable.
• Proficiency with R statistics and Stata; experience with other statistics packages as needed.

Responsibilities

• Design statistical analyses and data science approaches for ophthalmic research studies.
• Manage research datasets and ensure data governance and quality.
• Develop predictive models and contribute to high-quality publications and grant reports.
• Support advanced imaging analysis, artificial intelligence and data-driven research methods.
• Collaborate with clinicians, researchers, and external partners to address research questions.
• Present results and contribute to regulatory reporting where required.

Skills

R

Stata

Statistics packages

Education

Masters degree or equivalent

PhD (Desirable)

Job description

YOU MAKE US MORE

Join Moorfields Eye Hospital NHS Foundation Trust

At Moorfields, people's sight matters-and so do the people who make it possible.

For over 200 years, Moorfields has been at the forefront of ophthalmic care, research, and education. With more than 2,300 dedicated team members and over 700,000 patients seen annually across our City Road site and 22 networked sites, we are proud to be a global centre of excellence.

We're also a vibrant community where kindness, equity and excellence shape every aspect of our work. Whether it's pioneering research through our partnership with UCL Institute of Ophthalmology and Moorfields Biomedical Research Centre or training the next generation of global eye care leaders, we're united by one mission-delivering world-class eye health, sustainably and at scale.

And we're just getting started.

From 2027, we'll move to our brand-new Oriel site in St Pancras, Camden-a state-of-the-art centre that will unite eye care, research, and education under one roof. This groundbreaking facility, developed in partnership with UCL Institute of Ophthalmology and Moorfields Eye Charity, will enable transformative innovation and collaboration like never before.

Could you be part of this future? Make us more.

Job overview

Previous applicants need not apply

The Medical Statistics and Data Scientist will provide statistical and data science expertise to support a diverse portfolio of academic, commercial and grant-funded ophthalmic research studies within the Moorfields Reading Centre and Clinical Research Facility.

The postholder will work closely with clinicians, researchers, data scientists and external collaborators to design statistical analyses, manage research datasets, develop predictive models and contribute to high-quality publications, grant applications and regulatory reporting. The role will also support the development of advanced imaging analysis, artificial intelligence and data-driven research methodologies.

This is an excellent opportunity for an individual with strong analytical skills who is passionate about applying statistics and data science to improve patient care and advance ophthalmic research.

Technical

To independently provide all statistical interpretation, analysis, and modelling for grant funded studies that include highly specialised areas such as developing risk scores, predictive models and linkage of large datasets

Responsible for complex analysis of cross-disciplinary data.

Interest in medical research (e.g. epidemiology, public health) and willingness to apply for grants to self-sustain the position during the fixed term contract.

Experience in statistical modelling including longitudinal data analysis and survival analyses and collaborating with multiple researchers across various institutions

Experience in conducting analysis of observational/real-world medical research data.

Independence and initiative to work unsupervised with excellent attention to detail.

Cross-disciplinary problem-solving and project-management skills.

Ability to assimilate current statistical and mathematical literature on a topic and address investigations accordingly.

Responsible for development of an appropriate research methodology in order to address the research objective; compile and analyse quantitative and qualitative data, prepare reports and present results to summarise main findings and conclusions.

Responsible for interpretation of large amount of data in conjunction with the research team, putting acquired information into context with other clinical tests.

Responsible for the transfer of technical information on statistics to research fellows and students.

Develop and maintain an understanding of a range of specialised data requiring expertise underpinned by theoretical knowledge.

A honorary contract with UCL will be established to ensure that collaborations with UCL is developed.

Management

• Responsible for the supervision of the Research students working within the CRF and R&D, ensuring their training is appropriate for statistical analysis where necessary.
• Undertake training of junior staff where appropriate to facilitate the attainment of core statistics competencies.
• Manage own workload effectively and efficiently, planning and prioritising activities to meet the needs of the service.
• Carry out duties with a high degree of autonomy on a day to day level but appropriately identifying areas requiring further training and support or supervision.
• Attend national and international meetings where appropriate and feedback new developments/techniques learned at teaching sessions to benefit rest of department.

Research

Undertake study-specific duties delegated by the Principal Investigators in accordance with the protocol and in compliance with ICH GCP guidelines, Standard Operating Procedures and Trust policies.

Generate and implement ideas for research projects on new and existing data analysis techniques. This will involve:-

• Supervise study progress to ensure compliance with and adherence to the project plan and to identify, evaluate and rectify barriers. Submit monthly reports to PI.
• Liaison with the grant funders, research sponsor organisation, auditors, monitors and inspectors regarding compliance with Research Governance, Good Clinical Practice, Data Protection and Ethical Requirements.
• Work with the Principal/Chief Investigator to ensure that the trial is meeting its targets, is producing meaningful output and to predict and plan any changes that warrant requests to changes in protocol, funding or time.
• To manage workload priorities ensuring the more urgent and important tasks are completed first within required timescales.
• To be proactive in the identification of workload or process issues that affect clinical service provision and, with the support of the Research Operations Manager, develop and implement action plans to resolve the issues.

NB This role description is a reflection of the current position and may change in emphasis or detail in the light of subsequent developments, in consultation with the post holder.

Person specification

Education/Qualification

Essential criteria

• Post graduate qualification in related subject to Masters level or equivalent experience

Desirable criteria

• PHD in a related subject area

Knowledge

Essential criteria

• Demonstration of experience in R statistics, stata and other statistics packages
• Previous participation in clinical research data analysis and publications
• At least 3 years previous experience in Medical Statistics after Masters.
• In depth knowledge and understanding of both theoretical and practical application of ophthalmic data.
• Awareness of national standards, professional and other guidelines relevant to development and

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.

If you would like to discuss any reasonable adjustments before applying or would like an accessible version of any recruitment documents, please contact the recruitment team at [e-mail].

Moorfields Eye Hospital does not charge applicants any recruitment or sponsorship fees. Our website and published contact details are the only authorised channels for applications and verification of job offers.

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

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