ShanX Medtech BV

Data Scientist

• Conduct R&D and contribute to generating relevant data for algorithm training
• Lead analysis of large and complex datasets, including clinical and diagnostic assay reference data
• Apply statistical and machine learning techniques to inform diagnostic product development
• Train, develop, and refine algorithms and predictive models for diagnosis, risk prediction, and treatment response prediction
• Transfer algorithms and communicate with professional application software developers while maintaining algorithm integrity and performance
• Identify and engineer relevant features from raw data
• Preprocess data, select informative features, and optimize feature representations
• Validate models using cross-validation, bootstrapping, and holdout validation
• Assess accuracy, sensitivity, specificity, and AUC
• Create informative visualizations to communicate results and insights to stakeholders
• Stay current with data science methodologies, techniques, and tools relevant to in-vitro diagnostics
• Participate in professional development activities such as training programs, conferences, and workshops