About this role
Location: Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG
Applications are invited for a Product Manager at the Bennett Institute for Applied Data Science.
As a Product Manager, you will work closely with the Head of Product and the Product team, embedded within the Software Engineering group. Your role is to engage with users and stakeholders, assist in defining the product vision, and identify key outcomes that will steer us towards that vision. Working closely with software engineers, you will lead discovery efforts to identify opportunities and experiment with different ways to improve those key outcomes, and support the team in delivering solutions. You will collaborate with technical team leads to ensure work is prioritised and aligned with the product vision.
You will demonstrate experience as a product manager or a similar role, along with experience using modern product management and discovery techniques. A basic understanding of web technologies, covering the full stack, the ability to explore problems creatively and identify different approaches or potential solutions as well as proven experience of developing and testing UX options with end users are also essential.
You will be formally based in the Radcliffe Primary Care Building, Nuffield Department of Primary Care Health Sciences, Woodstock Road, Oxford, OX2 6GG as your normal place of work, but you will be able to agree a pattern of regular remote working with your line manager.
The position is funded for three years in the first instance. It is offered full-time, although part-time, at a minimum of 0.8FTE, will be considered.
For further information or to discuss the post please contact [email protected]
“Committed to equality and valuing diversity”
Applications for this vacancy are to be made online and 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. Please do not attach any manuscripts, papers, transcripts, mark sheets or certificates as these will not be considered as part of your application.
The closing date for applications is 12:00 noon on Friday 6 November 2026
Interviews are expected to be held during the week commencing 30 November 2026