Own the full data science workflow for specific projects, from problem framing to delivery.

Analyse proprietary biomedical datasets to identify patterns, variability, and opportunities for improved performance.

Develop statistical and machine learning methods for noisy, high-dimensional, and often small-sample data.

Design and evaluate robust validation strategies, including uncertainty and robustness checks.

Improve preprocessing pipelines, signal quality, and acquisition protocols through work with raw data and instrumentation.

Apply chemometric and multivariate analysis to spectroscopic data.

Work cross-functionally with experimental, hardware, and product teams.

Communicate findings, trade-offs, and recommendations clearly to technical and non-technical stakeholders.

Contribute to reusable analysis frameworks and internal best p...