Role overview
This is a 12-month, part-time contract (with the possibility of a permanent position) for a graduate-level or early-career data scientist. You will work closely with clinicians, engineers, and researchers to analyse complex biomedical data and help build AI-driven tools for personalised cancer treatment.
You will also contribute to a quantum machine learning (QML) research project in collaboration with UKRI STFC at the Harwell Science and Innovation Campus (Didcot, Oxford).
What you'll work on
- Analyse and model complex biomedical and clinical datasets (omics, imaging, and patient records)
- Develop and evaluate machine learning models to predict patient treatment response
- Clean, preprocess, and visualise multimodal datasets
- Contribute to a quantum machine learning research project in collaboration with UKRI STFC
- Work with clinicians, engineers, and researchers to translate insights into product features
- Document methods, experiments, and results in technical reports and publications
- Support general administrative and operational tasks as needed
What we're looking for
You will be based in London, primarily working remotely. You must be willing and able to:
- Travel to the Harwell Campus in Oxford 2–3 times per week
- Travel internationally to France, the United States, and Canada for collaboration and project work
Interview process
We recommend applying as soon as possible, as this role will close once sufficient applications have been received.
To apply, please submit:
- Your CV
- A 1-page cover letter
- (Optional) GitHub, portfolio, or examples of relevant work
Tags & focus areas
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