Role overview
You will hold a degree (or be near completion of a higher degree) in Data Science, Statistics, Computing, Bioinformatics, Life Sciences, or a closely related discipline, with sufficient technical knowledge to contribute effectively to an established research programme. You will have demonstrable experience working with complex biological, clinical, or health-related datasets and applying statistical or computational methods to support research questions.
You will be able to manage your own analytical tasks, deliver high-quality outputs to agreed deadlines, and communicate results clearly through written reports, figures, presentations, and contributions to publications. You will have a collaborative approach, with the ability to work effectively within multidisciplinary teams spanning data science, immunology, microbiology, and computational research, and the willingness to develop new skills as required by the programme.
Interview process
You will be required to upload a CV and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description. Click here for information and advice on writing an effective Supporting Statement.
Committed to equality and valuing diversity.
To discuss the post in more detail, please contact Professor Daniela Ferreira, using the contact details below.
Only online applications received before 12.00 midday on Friday 13th March 2026 will be considered. Interviews will be held as soon as possible thereafter.
The Department of Paediatrics offers an Interview Expense Reimbursement Policy in its efforts towards equality, diversity and inclusion. Should you be invited to interview, we will share further information about the policy at that stage.