Already a member?

Sign In

Intern in Data Analytics

Posted to IASSIST on: 
The Health Foundation
Employer URL:

The Data Analytics team at the Foundation was founded last year and consists of the Director of Data Analytics, a Data Manager and five Data Analysts.  The team work creatively and collaboratively partnering with NHS teams to experiment with new ways of improving care using data analytics. We are pleased to be offering an Internship in this area and we are open to applications at both undergraduate and graduate level.

Working with the Data Manager, the successful candidate will have the opportunity to develop and test useful skills in a safe environment; gain skills and experience specific to data professionals; learn from current best practice at the Foundation and wider community through (team) meetings and seminars; shadow senior members of the Data Analytics team.


Knowledge and experience
1. An understanding of statistical concepts and/or data linking methodologies.
2. Knowledge and experience of working with SAS, Stata, R or any other programming language.
3. Experience of conducting analyses using (large) data sets.
4. Experience of working on datasets in health and social care (desirable).
5. Currently undertaking or a recent graduate with a degree in a relevant quantitative subject

Skills and abilities
1. Interest in information governance as well as data security.
2. Ability to quickly learn and apply Statistical Disclosure Control to research outputs.
3. Excellent analytical skills.
4. Proficient in Microsoft Office with particular skills in Excel to an advanced level.
5. A can-do attitude and resilience.
6. A person who is meticulous and exact.
7. A person who is flexible, respectful of colleagues, and adaptable.
8. An understanding of, and commitment to, equal opportunities and diversity.

Application Procedure: 

Apply online using the link below.

£17,843 per annum (pro rata)
More Info URL:
Archive Date: 
  • IASSIST Quarterly

    Publications Special issue: A pioneer data librarian
    Welcome to the special volume of the IASSIST Quarterly (IQ (37):1-4, 2013). This special issue started as exchange of ideas between Libbie Stephenson and Margaret Adams to collect


  • Resources


    A space for IASSIST members to share professional resources useful to them in their daily work. Also the IASSIST Jobs Repository for an archive of data-related position descriptions. more...

  • community

    • LinkedIn
    • Facebook
    • Twitter

    Find out what IASSISTers are doing in the field and explore other avenues of presentation, communication and discussion via social networking and related online social spaces. more...