Data Scientist Intern
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
- check_circle Analyse and model complex biomedical and clinical datasets (omics, imaging, and patient records)
- check_circle Develop and evaluate machine learning models to predict patient treatment response
- check_circle Clean, preprocess, and visualise multimodal datasets
- check_circle Contribute to a quantum machine learning research project in collaboration with UKRI STFC
- check_circle Work with clinicians, engineers, and researchers to translate insights into product features
- check_circle Document methods, experiments, and results in technical reports and publications
- check_circle Support general administrative and operational tasks as needed
- check_circle Bachelor’s or Master’s degree in Data Science, Computer Science, Bioinformatics, Statistics, Biomedical Engineering, or a related field
- check_circle Strong Python skills (e.g. Pandas, NumPy, Scikit-learn, PyTorch and/or TensorFlow)
- check_circle Solid understanding of machine learning and statistical modelling techniques
- check_circle Experience working with real-world, messy datasets
- check_circle Strong interest in healthcare, oncology, or biomedical research
- check_circle Excellent communication and problem-solving skills
- check_circle Experience working within healthcare, biotech, or life sciences
- check_circle Familiarity with quantum computing concepts or quantum machine learning algorithms
- check_circle Degree or formal training in a biological or medical field
- check_circle Experience designing, deploying, or supporting solutions using cloud architecture and cloud computing platforms (e.g., AWS, Azure, or GCP)
Benefits
- check_circle Competitive, pro-rata salary (£21,000–£24,000)
- check_circle Flexible working hours and remote-first setup
- check_circle Travel expenses covered for work-related trips to Oxford and international collaboration
- check_circle Hands-on experience in applying AI to real-world cancer care challenges
- check_circle Direct mentorship from experienced technical and clinical professionals
- check_circle Opportunity to contribute to cutting-edge health and AI innovation
- check_circle Travel to the Harwell Campus in Oxford 2–3 times per week
- check_circle Travel internationally to France, the United States, and Canada for collaboration and project work
- check_circle Your CV
- check_circle A 1-page cover letter
- check_circle (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.