Medical Statistician

We are looking to appoint a medical statistician into an exciting role within the NIHR funded DREaMED project at the Botnar Research Centre. The role will be interesting and varied, including: the development and validation of prediction models, carrying out systematic reviews, cleaning/linking large data sets, and clinical trial development. There is scope for a statistician to specialise within these tasks. You will work closely with the project teams, including research assistants, post-doctoral researchers, study midwives, nurses, patient and public contributors, as well as NHS sites who are providing data for the programme.

As a Medical Statistician you will contribute to a wide range of tasks across the project, from designing and developing research protocols, coding simulations, cleaning large and routinely collected data, writing statistical analysis plans, conducting statistical analyses, and writing scientific publications. You will be expected to provide statistical advice to staff working on relevant projects, and to assist others in their work where appropriate. In this role you will plan, manage and conduct original academic research projects and associated activities, taking direction from your supervisor and other colleagues as appropriate. You will also coordinate multiple aspects of work to deliver novel research data in accordance with established timelines set between you and your supervisor. Additionally, you will contribute to manuscripts, presentations and other means of disseminating results, as well as scientific research articles at an international level for peer reviewed journals.

For this position you must hold a degree in a relevant subject with a substantial statistics component and a post-graduate degree in medical statistics or a closely related field involving substantial training in statistics. You must have proven experience and practical success in statistics as well as an ability to demonstrate proficiency in the use of statistical programming languages. You will also demonstrate an ability to organise and prioritise work efficiently whilst delivering results to the required standard and to an agreed schedule. Additionally, you will be able to work independently and collaboratively as part of a multi-disciplinary team, advising and influencing the work of others when required.

A PhD (or equivalent) in a relevant scientific subject (or near completion) is desirable.

The closing date for applications is 12 noon on 8 September 2025. Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application. Please quote 181413 in all correspondence.