You will be based in the John Radcliffe Hospital, Oxford but you will be able to agree a pattern of regular remote working with your line manager.

 

The NetZeroAICT Consortium (Oxford PI: Professor Regent Lee) is seeking a part time member to handle the administrative tasks (for Oxford related work packages) for this Horizon Europe funded project. Information regarding the NetZeroAICT project can be found on the consortium website (www.netzeroaict.eu). Note, there is a central administrative team for the entire consortium, this person will serve as the liaison between teams.

 

•       Provide general administrative support to the Oxford Team 

•       Track deliverables and reporting 

•       Maintain innovation register 

•       Partner communications 

 

About you 

You will have excellent interpersonal and management skills and be able to interact productively and accurately with other team members, researchers and collaborators across different sectors. While this collaborative approach will be a key feature of your role, you will also be required to work independently, taking the lead in initiatives. You will be able to handle a demanding and varied workload, managing your time and prioritising your work effectively. Previous experience of administering multi-partner projects is essential. You will have excellent written communication in English as well as great attention to detail.

 

This part-time post is available immediately and is fixed-term until 30 November 2027 in the first instance.  

 

If you would like to discuss this role please contact Regent Lee regent.lee@nds.ox.ac.uk

 

Applications for this vacancy are to be made online. You will be required to upload a supporting statement, setting out how you meet the selection criteria, curriculum vitae and the names and contact details of two referees as part of your online application. Please quote reference NDSA996 on all correspondence. 

 

Please note that this post will not be sponsorable for visas.

 

Only applications received before noon 10 September 2026 can be considered.

 

Interviews will be held on 24 September 2026.

 

 

We are seeking a creative and enthusiastic data scientist or bioinformatician to join an exciting project to uncover patterns of genetic alterations associated with treatment susceptibility in prostate cancer.  The project is funded by a recent Prostate Cancer UK award to identify translational results in data compiled by the Pan Prostate Cancer Group (www.panprostate.org), a worldwide initiative to bring together multiomic data from sites across the world.  The outputs of this project will pave the way for treatments to be targeted to subsets of patients who will benefit the most, leading to improved outcomes for patients while minimising unnecessary treatments and associated side effects. The position will be based at Old Road Campus, Oxford, but you may be able to agree a pattern of regular remote working with your line manager.

 

Your primary responsibility will be to analyse our expansive multiomic prostate cancer data set and identify features that enable integration with more limited data arising from clinical trials. You will therefore need strong programming and data analysis skills, with proficiency using machine learning methods. You should be willing to learn and apply both bioinformatics and machine learning methods to curate and compare disparate data sets from different sources.  You will be comfortable working independently, while also contributing ideas and communicating results to collaborators across the wider research project.

 

You will have completed, or be near completion of, a PhD/DPhil in Mathematics, Statistics, Computer Science, Bioinformatics, Physics, Engineering, or a related discipline. You will have the ability to develop academic publications, evidenced through a track record of contributing to publications and presentations.

 

Previous experience in advanced machine learning approaches for tabular data, familiarity with bioinformatics tools for processing DNA or RNA sequencing outputs, and knowledge of cancer biology, genetics, and evolution would be desirable.

 

This full-time post is available immediately and is fixed-term until 31st December 2027 in the first instance.

 

If you would like to discuss this role please contact dan.woodcock@nds.ox.ac.uk

 

Applications for this vacancy are to be made online. You will be required to upload a supporting statement, setting out how you meet the selection criteria, curriculum vitae and the names and contact details of two referees as part of your online application. Please quote reference NDSA991 on all correspondence.

 

Only applications received before noon Monday 14th September 2026 can be considered.

 

Interviews will be held on week commencing Monday 28th September 2026