Data Scientist

As a Data Scientist you will:

• Develop computational models to analyse correlation between test data and performance, supporting with optimisation of products
• Support the development of a MySQL-based engineering database, integrating real-time sensor and assay performance data
• Implement multivariate computational models (e.g., Principal Component Analysis (PCA), Partial Least Squares (PLS)) to identify key measurement variables within complex electrochemical datasets.
• Develop non-linear regression models to improve the accuracy of immunoassay data analysis.
• Apply machine learning techniques, including Random Forest and neural networks, to classify sample types based on electrochemical measurements, supporting biomarker discovery
• Design and optimise predictive models to identify novel biomarker panels, combining healthcare data and biomarker signatures.
• Develop AI-driven classification models to differentiate between patient sub-types based on electrochemical sensor outputs.

The role is site-based in the central belt of Scotland