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About your role:
- Analyse optical, experimental, and clinical datasets generated through iLoF’s platform and collaborations.
- Develop machine-learning and statistical models for classification, risk prediction, biomarker discovery, and representation learning.
- Build reproducible pipelines for preprocessing, validation, benchmarking, and uncertainty quantification.
Qualifications:
- MSc in Data Science, Physics, Mathematics, or a related field.
- Strong Python skills and solid foundations in machine learning, statistics, and data analysis.
- Experience with physical signals, time series, multimodal datasets, or experimental data is highly valued.
Perks:
- An exciting future with a deep-tech company selected by Financial Times and CB Insights as one of the most transformative companies in the world
- A high‑paced, flexible environment: adaptable working hours, strong remote work culture
- Weekly happy hours with amazing food and drinks
iLoF
iLoF is building an AI-powered platform capable of transforming precision medicine. Our goal is to democratize access to personalized medicine for millions of people living with complex diseases around the globe. The team is a mix of scientists, entrepreneurs, and inventors based in Oxford and Porto, with a passion for healthcare!