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).
Responsibilities
- 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
- Bachelor’s or Master’s degree in Data Science, Computer Science, Bioinformatics, Statistics, Biomedical Engineering, or a related field
- Strong Python skills (e.g. Pandas, NumPy, Scikit-learn, PyTorch and/or TensorFlow)
- Solid understanding of machine learning and statistical modelling techniques
- Experience working with real-world, messy datasets
- Strong interest in healthcare, oncology, or biomedical research
- Excellent communication and problem-solving skills
- Experience working within healthcare, biotech, or life sciences
- Familiarity with quantum computing concepts or quantum machine learning algorithms
- Degree or formal training in a biological or medical field
- Experience designing, deploying, or supporting solutions using cloud architecture and cloud computing platforms (e.g., AWS, Azure, or GCP)
Benefits
- Competitive, pro-rata salary (£21,000–£24,000)
- Flexible working hours and remote-first setup
- Travel expenses covered for work-related trips to Oxford and international collaboration
- Hands-on experience in applying AI to real-world cancer care challenges
- Direct mentorship from experienced technical and clinical professionals
- Opportunity to contribute to cutting-edge health and AI innovation
- 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
- Your CV
- A 1-page cover letter
- (Optional) GitHub, portfolio, or examples of relevant work
About the company
Curenetics is a London-based biotech and healthtech startup using artificial intelligence (AI) to transform cancer care. Our mission is to predict how individual patients will respond to immunotherapy and other advanced treatments before treatment begins, helping clinicians make more informed, personalised decisions.
We are seeking a motivated Data Scientist to join our growing team and contribute to the development of machine learning and quantum-enhanced models that deliver real-world clinical impact.