ARU Winter Internship 2026: Data & Evaluations Intern (quantitative analyst and mixed-methods)
Company name: Health Innovation East
Pay rate: £13.45
Location: At their Shelford Bottom office, CB22 3AD
Hours: 20 hour per week
Term: 10 weeks
Start date: January 2027
Interview dates: December 2026, remote
About the company: Health Innovation East helps turn promising ideas into practical improvements in health and care. We work with companies, universities and health providers to introduce innovations where they can make the greatest difference. Our company brings together healthcare professionals, specialist technologists and commercial advisers, combining evidence and practical experience to support projects from initial concept to implementation. As part of a national network, we help improve care and address health inequalities,keeping patients and communities at the centre of our work.
Job description/responsibilities:
The internship will focus on a defined evaluation project or agreed set of analytical tasks, with outputs proportionate to the placement duration. The intern will receive induction, regular supervision and feedback, and their analytical work will be reviewed by an experienced colleague.
The intern will receive appropriate information-governance training and guidance on responsible data handling and will work only with data they are authorised to access. Access to identifiable health data is not a requirement of the internship.
The intern will:
- Collect, organise, clean and check datasets, flagging missing, inconsistent or duplicate information.
- Support exploratory and descriptive analysis of health and care data, identifying patterns and trends under supervision.
- Create tables, charts and visualisations, and help prepare clear summaries, reports and presentations.
- Assist with evidence reviews under the guidance of the team, document analytical methods and help prepare evaluation outputs.
- Maintain accurate records of data sources, analysis steps and outputs, handling information confidentially.
- Develop analytical skills and suggest improvements to the accuracy and clarity of analysis and reporting.
Required skills/qualifications
ARU UG student - currently studying a relevant university degree. This role is particularly suited to final-year students, or students in earlier years who can demonstrate advanced analytical skills and the ability to work independently on agreed tasks.
- A good understanding of data analysis and confidence using spreadsheets to organise and summarise information.
- Good numeracy, analytical thinking and attention to detail, with the ability to identify patterns and communicate findings clearly.
- Curious, methodical and willing to learn; able to work independently on agreed tasks and collaboratively with the team, follow guidance, seek support when needed and handle data responsibly and confidentially.
- Desirable: an interest in health and care data, research or evaluation; familiarity with one analytical tool, such as R, Python, SQL, Power BI or similar (experience with all is not expected); or experience analysing and presenting data in a university project.
Learning outcomes
At the end of the internship the student will be able to demonstrate:
- Practical skills in preparing, cleaning and checking health and care datasets, with clear records of data sources and analysis steps.
- The ability to carry out exploratory and descriptive analysis under supervision, identify patterns, recognise limitations in the data and present findings through clear charts, summaries and reports.
- Experience contributing to evaluation projects, working collaboratively, handling information confidentially and using supervision and feedback to develop their skills.
How to apply: Please click on the 'apply' button ensuring your CV is attached along with a cover letter which showcases your relevant skills and experience for the role.
Important notice: When making your application, feel free to use AI to enhance your CV and cover letter, but make sure to include REAL-LIFE EXAMPLES that clearly demonstrate your skills, experience, and knowledge. Applications that appear overly generic or lack evidence will not progress to the next stage of recruitment and may be referred to the Employability and Careers team for further support.
Application closing date - 22nd of November 2026