Data Scientist / Machine Learning Engineer (m/w/d) | Healthcare & Life Science
Core
Building production ML models and data pipelines for healthcare clients using real-world medical data.
Role type
Machine Learning Engineer (Healthcare)
Builds
Production ML models, data pipelines, and Real-World-Evidence studies for insurance and pharma clients.
Domain
Healthcare & Life Science
Deliverable
production ML models
Required skills
Python, SQL, statistical methods, machine learning algorithms, Git, data pipeline development
Preferred skills
Survival analysis, causal inference, R, Kubernetes, Airflow, healthcare data experience
Technologies
scikit-learn, SciPy, NumPy, Pandas, PyTorch, Tensorflow, Git, GitHub, GitLab, Jira
Responsibilities
Develop and deploy ML models on medical data (claims, hospital, cancer registry), build data pipelines from prototype to production, conduct literature research for new methods, present results to client experts.
Seniority
Junior to Mid-level, hands-on IC