Julia Anderson Health Data Science Trainee

This role is part of the which provides individuals who are at the early stage of their career with hands-on experience working on projects or activities conducted by the (IGHI).

Please see the full before you apply. You must have no work experience, or less than two months of full‑time or part‑time equivalent experience, within the health, science, technology, or business management sectors, or in any office‑based role. You must have the right to work in the UK and have not completed any number of internships (paid or unpaid) for two months or more (individually or cumulatively).

As a Julia Anderson Health Data Science Trainee, you will support analytical projects within the Centre for Health Policy. You will work with real-world healthcare data and NHS policy documents to help build structured datasets and analytical outputs that support national research and improvement efforts in patient safety.

Prior professional experience in health data science is not required. We welcome applications from school leavers, students, and recent graduates with a strong interest in data analysis and analytical problem-solving.

As a Julia Anderson Health Data Science Trainee, you will work closely with analysts and researchers in the Centre for Health Policy to support ongoing analytical and data science projects. You will contribute to the development of structured datasets derived from publicly available NHS data and policy documents.

This role offers hands-on experience across the full data science lifecycle, from sourcing and structuring raw data through to analysis and preparation for dashboard outputs.

Key responsibilities will include:

Writing clear, reproducible code in R or Python to clean, process, and analyse data Supporting the development of structured datasets suitable for analysis and visualisation
Assisting with structured analysis of both numerical and text-based data
Producing clear summaries and documentation to support analytical outputs
Working collaboratively with researchers and analysts to support project delivery

Through this work, you will gain experience in building analytical datasets from real-world healthcare data and contribute to projects that support research and decision-making.

You will be supported and mentored throughout your placement and will gain practical experience in applying data science skills in a research and policy environment.

We are looking for a curious and motivated individual with a strong interest in data and its potential to support real-world impact by getting involved in a project that shapes national policy. This role is ideal for someone who enjoys working with complex information and is keen to develop practical skills in data science.

Applicants who meet the essential criteria for the role and have a strong practical analytical ability, regardless of formal qualifications, are encouraged to apply as many of the skills and domain knowledge can be acquired in post. We welcome applicants from a wide range of backgrounds who show an enthusiasm for working with real-world data and translating messy data into meaningful change for society.

For more details, please see the attached job description.

The opportunity to start your career at a world-leading institution and be part of our mission to use science for humanity.
Gain hands-on experience contributing to a national patient safety analysis, and support the development of datasets and analytical outputs that inform healthcare improvement.
Strengthen your coding, analytical thinking, and data management skills using tools such as R or Python and version control, while working within real analytical workflows used in research and policy environments
Build a strong foundation and gain essential experience for a career in data science, healthcare analytics, data engineering, or research by working on meaningful projects with real-world impact Access the Imperial Jobs page, online training and development resources, and LinkedIn Learning for the duration of your training post.
Be part of a diverse, inclusive and collaborative work culture with various and resources to support your personal and professional , as well as receive at least three mentoring sessions with a dedicated mentor who is a trained staff member at IGHI.