Data Scientist & Artificial Intelligence Specialist

Data Scientist & Artificial Intelligence Specialist

Full-Time 55000 - 65000 € / year (est.) No home office possible
Moorfields Eye Hospital, London, Fellowship

At a Glance

  • Tasks: Develop and deliver data and AI strategies for innovative eye health research.
  • Company: Join Moorfields Eye Hospital, a leader in ophthalmic research and innovation.
  • Benefits: Competitive salary, NHS pension, career development, and wellness support.
  • Other info: Dynamic role with opportunities for national and international collaboration.
  • Why this job: Make a real impact in healthcare by leveraging cutting-edge AI and data science.
  • Qualifications: PhD or master's in health data science; experience in biomedical data analysis.

The predicted salary is between 55000 - 65000 € per year.

INSIGHT – the Eye & Oculomics Health Data Research Hub at Moorfields Eye Hospital is the world’s largest ophthalmic bio‑resource, with over 30 million eye images linked to clinical data. In 2025, INSIGHT was awarded a grant by the Medical Research Council to scale its infrastructure across the NHS, creating a national resource that supports diverse research, improves clinical outcomes, and fosters innovation in eye health.

To deliver on project objectives, INSIGHT is recruiting a Data Scientist & Artificial Intelligence (AI) Specialist to work with leadership to develop and deliver a data and AI development strategy for the project.

Main Responsibilities

  • Collaborate with the Project Leadership Team to develop and deliver a data and AI development strategy.
  • Use proprietary INSIGHT Research Data Platform technology to scope and curate new datasets in compliance with research ethics, Trust guidance and best practice.
  • Lead analysis of statistical models and algorithms, including bias‑risk assessments, validation and evaluation of predictive utility and interpretability.
  • Review current development techniques and recommend improvements, and validate revised or new methods aligned to Agile project management.
  • Provide advice and expertise for the generation and regular update to the project workplan, including across DevOps and Machine Learning techniques.
  • Coordinate with data and software engineers and informatics teams on data and technical requirements, manage arising conflicts and changes.
  • Provide professional, technical advice, leadership and training in research data analysis and AI training methods to colleagues.
  • Collaborate with project clinical and academic leads to write abstracts, articles and other publications that visualise data and AI outcomes for stakeholders, including high‑impact scientific journals and presentations at national and international conferences.
  • Collaborate with the broader project team and other clinical/research staff to identify and communicate opportunities for new funding, share research resources, and prepare reports and presentations for internal and external review.
  • Demonstrate a high level of accountability for professional actions and decision‑making.
  • Keep abreast of the latest health data, technical and scientific research developments and their applications in medicine and associated fields.
  • Actively promote research and innovation through INSIGHT at Moorfields.
  • Perform any other duties as directed by the Director of INSIGHT and/or Chief Operating Officer.

Benefits

  • Competitive salary, including high‑cost area supplement
  • Membership of the NHS Pension Scheme
  • 24/7 independent counselling support
  • Career‑long learning and development opportunities
  • Excellent transport connections
  • Access to NHS and Blue Light discount schemes
  • Free Pilates classes
  • Full support and training to develop your skills

Person specification

Education / Qualifications

  • Essential: A PhD or master’s degree with equivalent professional experience in health data science or a relevant field.
  • Desirable: Project management qualification (e.g., PRINCE2).

Knowledge and Experience

  • Essential: Demonstrable experience in biomedical and health data science or epidemiology, including medical imaging techniques and clinical data structures in ophthalmology.
  • Expertise building statistical models, using machine learning with Python libraries, and MLOps tools for optimisation.
  • Experience mining and analysing electronic health records (EHR) and knowledge of clinical terminologies (e.g., SNOMED‑CT).
  • Experience with data management tools such as SQL.
  • Demonstrable use of programming in collaborative and reproducible analysis pipelines.
  • Experience using data visualisation to communicate complex data to non‑technical audiences.
  • Ability to assimilate new ideas and work with problem owners to turn ideas into practical, applied techniques.
  • Understanding of data collection, governance, verification and processing within the NHS and/or for health research.
  • Experience in academic writing and publications (abstracts, articles for journals and conferences).
  • Desirable: Familiarity with multiple paradigms for mathematical representation of complex systems (differential equation modelling, mathematical programming and optimisation).
  • Experience with cloud computing (GCP, Azure ML, AWS SageMaker), containerisation (Docker, Kubernetes), or version control (Git).

Employment Conditions

The post holder will be based at Moorfields in Central London with occasional travel nationally and internationally as required. Employment is subject to proof of eligibility to work in the UK, DBS disclosure and references. No visa sponsorship will be offered unless stated.

Equality, Diversity and Inclusion

Moorfields is committed to equality, diversity and inclusion and actively encourages applications from under‑represented candidates, including BAME and Disabled candidates.

Data Scientist & Artificial Intelligence Specialist employer: Moorfields Eye Hospital, London, Fellowship

Moorfields Eye Hospital offers an exceptional work environment for Data Scientists and AI Specialists, providing access to the world's largest ophthalmic bio-resource and a commitment to innovation in eye health. With competitive salaries, NHS pension membership, and extensive career development opportunities, employees benefit from a supportive culture that values diversity and inclusion. Located in Central London, the hospital boasts excellent transport links and unique perks such as free Pilates classes and 24/7 counselling support, making it an attractive place for professionals seeking meaningful and impactful work.

Moorfields Eye Hospital, London, Fellowship

Contact Detail:

Moorfields Eye Hospital, London, Fellowship Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist & Artificial Intelligence Specialist

Tip Number 1

Network like a pro! Reach out to professionals in the field of data science and AI, especially those connected to Moorfields. Attend relevant events or webinars to make connections that could lead to job opportunities.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving health data science or machine learning. This will give you an edge when discussing your experience during interviews.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and understanding of statistical models. Practice common data science problems and be ready to explain your thought process clearly.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the INSIGHT team at Moorfields.

We think you need these skills to ace Data Scientist & Artificial Intelligence Specialist

Data Science
Artificial Intelligence (AI)
Statistical Modelling
Machine Learning
Python Libraries
MLOps
Biomedical Data Analysis

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Scientist & AI Specialist role. Highlight your relevant experience in health data science, machine learning, and any specific projects that align with the job description. We want to see how your skills fit into our vision!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about eye health and how your background makes you the perfect fit for INSIGHT. Don’t forget to mention any experience with statistical models or data visualisation – we love that stuff!

Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's building statistical models or using Python libraries, we want to see your hands-on experience. This is your opportunity to demonstrate your expertise!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us without any hiccups. Plus, it shows you’re keen on joining our team at Moorfields!

How to prepare for a job interview at Moorfields Eye Hospital, London, Fellowship

Know Your Data Inside Out

Make sure you’re well-versed in the specifics of health data science, especially in ophthalmology. Brush up on your knowledge of medical imaging techniques and clinical data structures, as these will likely come up during the interview.

Showcase Your Technical Skills

Be prepared to discuss your experience with statistical models and machine learning, particularly using Python libraries. Bring examples of your work, especially any projects involving MLOps tools or data visualisation that can communicate complex data effectively.

Collaborate Like a Pro

Since collaboration is key for this role, think of examples where you’ve successfully worked with cross-functional teams. Highlight your ability to manage conflicts and changes, and how you’ve contributed to project workplans in an Agile environment.

Stay Current and Curious

Demonstrate your commitment to ongoing learning by discussing recent developments in health data and AI. Show enthusiasm for research and innovation, and be ready to share how you keep abreast of new techniques and applications in the field.