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  "job_description": "Vacancy ref: MED05711\n\nSalary: £29,199 per annum\n\nClosing date: 16 April\n\nAbout the role\n\nThis role is part of the Julia Anderson Training Programme which provides individuals who are at the early stage of their career with hands-on experience working on projects or activities conducted by the Institute of Global Health Innovation (IGHI).\n\nPlease see the full eligibility criteria 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).\n\nAs 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.\n\nPrior 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.\n\nWhat you would be doing\n\nAs 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.\n\nThis 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.\n\nKey responsibilities will include:\n• Identifying, collating, and extracting relevant information from publicly available policy documents and datasets\n• Designing and maintaining well-organised datasets that can be queried, analysed, and used in downstream applications\n• Writing clear, reproducible code in R or Python to clean, process, and analyse data\n• Supporting the development of structured datasets suitable for analysis and visualisation\n• Assisting with structured analysis of both numerical and text-based data\n• Producing clear summaries and documentation to support analytical outputs\n• Working collaboratively with researchers and analysts to support project delivery\n\nThrough 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.\n\nYou will be supported and mentored throughout your placement and will gain practical experience in applying data science skills in a research and policy environment.\n\nWhat we are looking for\n\nWe 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.\n\nApplicants 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.\n\nFor more details, please see the attached job description.\n\nWhat we can offer you\n• The opportunity to start your career at a world-leading institution and be part of our mission to use science for humanity.\n• Gain hands-on experience contributing to a national patient safety analysis, and support the development of datasets and analytical outputs that inform healthcare improvement.\n• 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\n• 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\n• Access the Imperial Jobs page, online training and development resources, and LinkedIn Learning for the duration of your training post.\n• Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing, as well as receive at least three mentoring sessions with a dedicated mentor who is a trained staff member at IGHI.\n\nFurther information\n\nThis post is offered on a full time and fixed-term basis for 12 weeks with a start date of 1st July 2026.\n\nIf you require any further details about the role, please contact Waheeda Zafar, IGHI Operations Officer: w.aadam@imperial.ac.uk",
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  "job_posted_at_datetime_utc": "2026-03-20T00:00:00.000Z"
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