Data Scientist

ShanX Medtech BV

Data Scientist developing data-analysis tools and predictive algorithms for ShanX Medtech’s rapid antibiotic susceptibility diagnostic device. Supporting faster infection treatment decisions and improved healthcare outcomes.

Posted 8/16/2026full-timeEindhoven • 🇳🇱 NetherlandsJuniorMid-Level💰 €60,000 - €80,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in statistical and machine learning techniques for diagnostic product development, with proficiency in Python, R, and SQL for data manipulation and analysis. Capable of creating data visualizations and communicating insights effectively to stakeholders while maintaining algorithm integrity.

Highest-signal resume keywords

Statistical AnalysisMachine Learning TechniquesData VisualizationAlgorithm DevelopmentIn-Vitro Diagnostics

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonRSQLData ManipulationStatistical AnalysisMachine LearningData PreprocessingFeature EngineeringModel ValidationData Visualization

Soft Skills

Communication SkillsOpenness to Learning

Tools & Technologies

MatplotlibSeabornGgplot2Scikit-learnTensorFlow

Certifications & Qualifications

Master’s Degree in Data ScienceMaster’s Degree in Computer ScienceMaster’s Degree in StatisticsMaster’s Degree in BioinformaticsMaster’s Degree in Biomedical Engineering

Industry Keywords

In-Vitro DiagnosticsBiomarkersAssay TechnologiesClinical ApplicationsMicrobiologyMedical Terminology

Tech Stack

Tools & technologies

PythonScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Master’s degree in data science, Computer Science, Statistics, Bioinformatics, Biomedical Engineering, or a related discipline
2 years’ experience in a similar function
Proficiency in Python, R, or SQL
Ability to write efficient code for data manipulation, analysis, and modeling
Familiarity with data management and preprocessing, including data cleaning, transformation, and normalization
Basic understanding of supervised and unsupervised learning, classification, regression, clustering, and dimensionality reduction
Ability to create clear data visualizations using Matplotlib, Seaborn, or ggplot2
Fluency in English
Openness to learning experimental work in a laboratory environment with bacteria
Ability to transfer algorithms and communicate with professional application software developers
Experience with scikit-learn or TensorFlow is beneficial
Experience handling large-scale datasets and databases is advantageous
Familiarity with in-vitro diagnostics, biomarkers, assay technologies, and clinical applications is preferred
Understanding of basic microbiology and medical terminology is advantageous
Good communication skills with non-technical stakeholders
Passion for working in a young company environment

Benefits

Comp & perks

Competitive compensation and benefits package
Access to professional development opportunities for career growth and advancement, including training resources
Flexible schedule and work arrangements
Dynamic and collaborative work environment