Healthcare Data Scientist: AI, Analytics & Pipelines

moveup; Brussel; Hybride; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Cascador/moveUP is seeking a Data Scientist to turn health data into actionable insights for healthcare providers and life sciences companies. You will work across data engineering, clinical analytics and artificial intelligence.

Depending on your experience, you may build data pipelines, analyse clinical datasets, develop statistical or predictive models, or explore practical AI applications in healthcare.

Qualifications

• Experience in data science, data analytics, data engineering, biostatistics or a related field.
• Strong Python and SQL skills.
• Experience with data pipelines and data workflows.
• Strong statistical and analytical reasoning.
• Experience with clinical, healthcare, pharmaceutical or other sensitive data is a plus.
• Familiarity with machine learning methods and data science libraries.
• Excellent English. Dutch and/or French is a strong asset.
• A relevant master’s degree or equivalent professional experience.

Responsabilités

• Develop analyses, statistical models and predictive models based on clinical and health data.
• Build and maintain data pipelines and data processing workflows.
• Clean, validate and quality‑control sensitive healthcare datasets.
• Translate analytical results into clear insights for internal teams and external clients.
• Collaborate with Product and Engineering to integrate data solutions into our platform.
• Explore responsible and valuable applications of AI in healthcare.
• Contribute to data quality, privacy and GDPR compliance.
• Communicate clearly with both technical and non-technical stakeholders.
• Take ownership of workstreams and proactively move projects forward.

Connaissances

Python

SQL

Data pipelines

Statistical analysis

English

Formation

Master’s degree or equivalent professional experience

Description du poste

Cascador/moveUP is seeking a Data Scientist to turn health data into actionable insights for healthcare providers and life sciences companies. You will work across data engineering, clinical analytics and artificial intelligence.

Depending on your experience, you may build data pipelines, analyse clinical datasets, develop statistical or predictive models, or explore practical AI applications in healthcare.