health data insight and Turing institute students

(Above: A group of students and their supervisors meet in one of the HDI seminar rooms)

Update on recruitment:

21st February Applications closed
25th February Shortlisting
26th-28th February Applicants invited for interview
2nd-6th March Interviews
6th-11th March Offers of places sent out
May Gathering information
June Sending out contracts


We are offering up to six intern places on a group project during July and August of 2020. In previous years, our intern programme assigned a single project to each intern. This year, we have enhanced the programme to support interns working together on a ‘super-project’ bringing a diverse range of skills and experience to develop a project, from specification to final product, based on synthetic data derived from real patients medical records.


“It’s been a really good experience. Even though it’s only been 7 weeks I have gotten a lot done and have a lot to say for myself and for my work here.” (Tobby, 2019 intern)

Overview of the Internship

What are synthetic data and why do we want to use them?

Health researchers need access to medical data to answer important questions about diseases like cancer. However, if real data is used, patient confidentiality must be protected. Health Data Insight created a synthetic data set called the ‘Simulacrum’ that allow researchers to work on data that looks and feels a lot like the real thing, but without any potential compromise in patient confidentiality. However, the Simulacrum is a synthetic version of all cancers and the size of the data set can create problems for researchers.

What exactly is the HDI Internship project?

This project involves taking the idea behind the Simulacrum work to create a synthetic data ‘service’ that allows researchers to request cancer data relevant to their research and be provided with a customised synthetic output using the most appropriate synthetic algorithms for their particular needs and requirements.

Who are we looking for?

We are looking for enthusiastic students who want to be part of an innovative multi-disciplinary team. The team will use and refine their skills in coding, statistical modelling, machine learning, visualisation, and science communication to solve real-world problems, and develop resources and tools using big data.

Who can apply?

We welcome applications from students at any stage in their further education, from undergraduate to PhD level. 

The internship is open to anybody who is eligible to work full-time in the UK.

What skills/experience do I need?
Enthusiasm and eagerness to work as part of a small team of like-minded individuals are the main attributes we are after.

Candidates from all backgrounds are welcome, particularly if you have interest or experience in one or more of these areas:

  • data visualisation
  • science communication
  • working with large datasets
  • data and statistical modelling
  • machine learning.
How do I apply?

To apply, please send an up-to-date CV and a covering letter outlining what skills and attributes you would bring to the intern project and any background experience that you feel is relevant to confirming when you can start and when you would like to finish.

What is the deadline for applications?
The closing date for applications is midnight on Friday 21st February 2020. After short-listing we will let you know if we require any more information and/or whether we would like you to attend an informal interview. All applicants will be notified whether their application has been successful after this process has completed.

Details of the Internship

What do we offer and how are interns supported?

This internship is a chance to join a thriving and enthusiastic community of bright individuals. The team will be supported by an Intern Team Lead, with specialist input from developers, project managers, analysts, science communicators and many other professionals.

This internship is about developing specialist skills and is also a chance to enhance your communication, collaboration, organisational and team-working skills.

Interns will meet regularly to discuss their progress on the project and the Intern Team Lead will always be available either in person or online for queries and support.

What are the hours, pay, expenses and leave entitlement?

The normal working week is 37.5 hours and we offer flexible working. Interns are paid £1,500 per month plus expenses according to our expenses policy. You are also entitled to 2.5 days leave per month plus bank holidays.

When is the internship?

The internship starts on Monday 6th July 2020 and runs for two to three months depending on your availability. The team will give a presentation on Friday 28th August 2020 to showcase their work.

Where will the placement be?

Due to Covid-19 we will be running the internship this year at a distance using video conferencing and collaborative software.

Is accommodation available locally?

The following links offer some accommodation options in Cambridge:

Accommodation Service

We have now closed the Accommodation Service offices at Kellet Lodge and Eddington to all visitors. We are also highly unlikely to be able to respond as quickly to enquiries as we would like.

Cambridge University Accommodation Service (above) can provide accommodation for students from outside the University of Cambridge but there is a small charge for gaining access to their listings. If you wish to apply to them, fill out the form on their website the best you can putting “Health Data Insight CIC” in where it asks for Dept and the dates you will be here and they will then contact you.

Student Accommodation UK. Student Housing Houses Flats Homes

Student Accommodation and Student Housing Search Engine for the UK.

Holiday Lets, Homes, Experiences & Places – Airbnb

Unforgettable trips start with Airbnb. Find adventures nearby or in faraway places and access unique homes, experiences, and places around the world.


Please note we do not have any affiliation with any of the companies mentioned above and cannot endorse them but if you are having trouble finding accommodation please get in touch and we will see what we can do to help.

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