Job Description

You will utilise your experience to analyse complex data sets,develop computational models, and build machine learning algorithms to support with the development of novel diagnostic platforms.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 ScotlandA fantastic opportunity to join a growing biotechDeveloping innovative technology to support diagnosis and biomarker discoveryTo be successful in the role you will:

• PhD or MSc in Mathematics, Physics or related field
• Strong experience in computational modelling, data analysis, and machine learning techniques.
• Proficiency in Python, R, MATLAB, or other statistical programming languages.
• Knowledge of multivariate analysis techniques (e.g., PCA, PLS) and non-linear regression models.
• Experience developing predictive machine learning algorithms (e.g., Random Forest, Neural Networks).
• Proficiency in SQL (preferably MySQL) and database management for engineering data storage
• Experience working with biomedical data science, bioinformatics or diagnostics is desired but not essential

The client are an innovative biotech developing cutting-edge biosensors for use in diagnostics and biomarker discovery applications.This is a fantastic opportunity to join an innovative and growing biotech developing cutting-edge technology.

Michael Page