NIHR UG Internship

Job Details

When you work for the University of Lancashire, you will be part of a thriving community of talent united in a common commitment to transform lives. We do this by delivering an outstanding educational experience and creating prosperity and opportunity in the communities we serve. Whatever your role, you will be playing a vital part in helping us achieve our vision.

About the role

We are looking to recruit a NIHR UG Internship to join the Lancashire Clinical Trials Unit to work on the project "Determining the sample size for the SPaCIS clinical trial using Bayesian hierarchical modelling". This project aims to explore novel methodology employing Bayesian hierarchical modelling to derive a robust sample size (the number of patient participants required) for the SPaCIS (Stroke Patient Concerns Inventory in Stroke) clinical trial.

The Internship project will utilise the novel multiple-estimate method, incorporating prior information from various published sources relevant to the target SPaCIS trial and combining it using a Bayesian approach. The Intern will work with WinBUGS programming code developed in previous projects.

Training and development

The project will provide valuable experience of working with statistical programming in the field of medical statistics. The Intern will have the opportunity to work with health data in the Clinical Trials Unit (CTU) and gain experience of applying statistical methodology in real-life settings. These are important skills and experiences for anyone considering a career as a statistician or pursuing a postgraduate course.

The project is funded by the National Institute of Health Research (NIHR). The Internship duration is 8 weeks full-time (adjusted for part-time employment). The Intern will have access to some of the training provided by the University of Lancashire. In addition, the Internship includes a training and development fund that provides the opportunity to attend a training course or research conference.

About you

• Basic knowledge of statistical methodology.
• Basic programming and computing skills, with a willingness to learn a new statistical programming language.
• Ability to work as part of a team.
• Numerate and computer literate.
• Possess, or be working towards, an undergraduate degree in Mathematics or Computing.

What we can offer you

Our people are our most important asset. We will encourage you to make the most of your talents and continually develop your skills and knowledge. As well as realising your career ambitions, you will be making a positive difference to other people’s lives.

• Attractive annual leave entitlement.
• Access to a comprehensive employee benefits platform.
• Opportunities for training and professional development.

Equality, diversity and inclusion

We are proud to be a diverse, multicultural university and are committed to building a truly inclusive culture where diversity is championed. Applications are particularly welcomed from individuals who will support diversification within the University and contribute to a culture that is inclusive and welcoming to all.

Safeguarding and background checks

The University is committed to providing a safe environment to study, work and visit, protecting children, young people and adults at risk from harm and abuse. Our safeguarding policy and safer recruitment procedure outline our approach, alongside other internal policies, procedures and guidance.

Applicants applying for roles in regulated activity, and those listed as an exception under the Rehabilitation of Offenders Act 1974, will be required to disclose any spent and unspent convictions and undertake a Disclosure and Barring Service (DBS) check at the appropriate level. The University will only request a DBS check where legally entitled to do so.