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Data Scientist - Universitatsklinikum Wurzburg
Data Scientist
Lead data science initiatives in a clinical setting, developing predictive models and analytical solutions using Python, machine learning, and statistical techniques to improve patient outcomes and operational efficiency.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models to support clinical decision-making and research projects.
- Analyze large, multi‑modal datasets (clinical, imaging, genomics) using Python, SQL, and statistical methods.
- Collaborate with clinicians, bioinformaticians, and IT teams to translate research questions into reproducible analytical workflows.
- Present findings through clear visualizations and reports, facilitating data‑driven insights for stakeholders.
- Maintain and improve data pipelines, ensuring data quality, security, and compliance with regulatory standards.
Requirements
- Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related field.
- Proven experience in Python, machine learning libraries (scikit‑learn, TensorFlow, PyTorch), and statistical analysis.
- Strong SQL skills and familiarity with relational databases.
- Excellent communication skills and ability to work in interdisciplinary teams.
- Experience in a healthcare or research environment is a plus.
Skills
pythonmachine learningsql