Applying for an NHSX Analytics Unit internship
How to apply
There are two recruitment routes for these internships:
- There is an open recruitment to all eligible candidates with two available places.
- There is a closed recruitment to students on the HDR UK-Turing Wellcome PhD Programme in Health Data Science, with one place available.
Any application will need to be accompanied by a supporting statement from the student’s supervisor. As part of the application you'll be asked to specify which projects you’re interested in, detailing relevant experience in these areas.
- need to provide proof of a legal right to study in the UK or satisfy the current requirements of UK Visa and Immigration
- be enrolled on a PhD programme in a quantitative field of study (such as mathematics, statistics, data engineering, computer science, data science or physics) during the course of the internship
- need a statement from the current PhD supervisor confirming the student is able to conduct this work alongside their study or that the student will take a break from their current funding whilst conducting this work
- need a statement from the current PhD supervisor outlining their interest and willingness to support the student academically throughout the project alongside NHSX project supervisors
Successful candidates should be able to demonstrate the following skills and experience:
- Relevant experience in the project area as set out in the project brief.
- Demonstrate an understanding of datasets and data sources including the quality and reliability of the data, preferably healthcare datasets.
- Good understanding of analytical tools and is highly numerate.
- Previous experience in a similar role in the public sector.
- Evidence of success in effective project and programme management.
- Ability to use a range of coding tools, languages and analysis software
- Quality assurance, validation and data linkage abilities
- Ability to make complex and technical information and language simple and accessible for non-technical audiences
- Ability to work without supervision.
- Able to work on own initiative, organising and prioritising own and others workloads to changing and often tight deadlines.
- An ability to maintain confidentiality and trust.
Successful candidates should be able to demonstrate the following personal attributes:
- Commitment to and focused on quality, promoting high standards in all they do.
- Adaptability, flexibility and ability to cope with uncertainty and change
- Able to make a connection between their work and benefits to patients and the public.
- Consistently thinking how their work can support clinicians and frontline staff deliver better outcomes for patients.
- Values diversity and difference operating with integrity and openness.
- Works well with others, is positive, helpful, respects and learns from the contribution of others.
- Consistently looks to improve what they do, seeks out innovation.
- Actively develops themselves and supports others to do the same.
Application Opening Date: Tuesday 9 February
Application Closing Date: Friday 5 March
Shortlist by Sifting Questions:
Panel Interviews: 3rd Week of March
Outcome Communicated: 1st Week of April
Start Date: Late May
Please note these dates are only indicative at this stage and could be subject to change.
Terms of appointment
Position: PhD Intern
Responsible to: Lead Data Scientist
Pay Band: Band 6 Spine 1 - Agenda for Change
Term: Temporary - Three months
There are two payments associated with this scheme:
For the duration of the internship, the student will be paid as an NHS band 6 (spine point 1) post, in accordance with Agenda for Change NHS Terms and Conditions (AfC) pay scales - Annual
An additional direct payment to the applicant's university of £5,000 will be made to take account of its contribution through continuing student supervision and intellectual support.
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