At a Glance
- Tasks: Develop AI tools and web applications to enhance eye care through data science.
- Company: Join Moorfields Eye Hospital, a leader in ophthalmic care and research.
- Benefits: Competitive salary, NHS pension, flexible working, and free Pilates classes.
- Other info: Dynamic team culture with opportunities for professional growth and development.
- Why this job: Make a real impact on patient care with cutting-edge technology in a supportive environment.
- Qualifications: MSc or PhD in Data Science/Computer Science and experience in programming and machine learning.
The predicted salary is between 37035 - 45265 £ per year.
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.
The NIHR Clinical Research Facility (CRF) at Moorfields Eye Hospital, London has recently been awarded funding from the National Institute for Health Research (NIHR) to optimise the delivery of world-class research in ophthalmology and science associated with vision and sight. The Facility forms part of the Moorfields NIHR Biomedical Research Centre for Ophthalmology, a joint initiative between Moorfields Eye Hospital and University College London Institute of Ophthalmology.
A key responsibility of the role is to develop a clear understanding of the data resources available from Moorfields’ clinical systems. Building on this knowledge, the post holder will work both independently and in close collaboration with the AI and Data Science team to design and implement machine learning tools capable of extracting clinically relevant features from ophthalmic imaging. The role also involves contributing to the creation of web applications that will enable the deployment of clinical and imaging data analytics tools.
Main duties of the job include:
- Independently provide all ophthalmic imaging interpretation, analysis, and modelling for both commercial and research-grade high resolution ophthalmic instruments.
- Responsible for complex analysis and designing algorithms for specialized ophthalmic imaging techniques.
- Responsible for programming, designs and development of an appropriate research methodology.
- Responsible for interpretation of large amounts of data in conjunction with the research team.
- Develop and maintain an understanding of a range of specialised imaging procedures.
Education / Qualifications:
- MSc or PhD in Data Science/Computer Science
- Educated to degree level in Data Science/Computer Science
Knowledge & Experience:
- Experience in Database management and knowledge of data management principles
- Experience in programming with Python
- Experience of using SQL Databases
- Experience with image processing and computer vision (OpenCV)
- Experience with machine learning (TensorFlow/PyTorch/Keras)
- Experience with web technologies (JavaScript)
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. Our commitment to equality, diversity and inclusion is at the heart of our organisational culture.
Data Scientist/Software Engineer (AI and Computer Vision) employer: Moorfields Eye Hospital, London, Fellowship
Moorfields Eye Hospital NHS Foundation Trust is an exceptional employer, offering a collaborative work culture that prioritises patient care and employee development. With a strong commitment to reducing agency spend while ensuring safe staffing levels, employees benefit from meaningful work that directly impacts the community, alongside opportunities for professional growth in a supportive environment.
Contact Details:
Moorfields Eye Hospital, London, Fellowship Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist/Software Engineer (AI and Computer Vision)
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Moorfields Eye Hospital, London, Fellowship.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Moorfields Eye Hospital, London, Fellowship and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Data Scientist/Software Engineer (AI and Computer Vision)
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Moorfields Eye Hospital, London, Fellowship aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Moorfields Eye Hospital, London, Fellowship
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Moorfields Eye Hospital, London, Fellowship.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Moorfields Eye Hospital, London, Fellowship.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Moorfields Eye Hospital, London, Fellowship, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Moorfields Eye Hospital, London, Fellowship will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
