onsite
Senior Data Scientist - Flatiron Health
Data Scientist
Lead advanced analytics for cancer research, building predictive models and real‑world evidence pipelines using Python, SQL, and AWS to transform clinical data into actionable insights.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine learning models to predict patient outcomes and treatment responses.
- Extract, clean, and integrate heterogeneous clinical datasets from multiple cancer centers using SQL and Python.
- Collaborate with cross‑functional teams to translate analytical findings into clinical decision support tools.
- Implement robust data pipelines on AWS, ensuring data quality, security, and compliance with healthcare regulations.
- Visualize complex data insights with interactive dashboards and reports for stakeholders.
Requirements
- 10+ years of experience in data science within healthcare or a related domain.
- Proficiency in Python, SQL, and R for data manipulation and model development.
- Strong background in machine learning algorithms, model evaluation, and deployment.
- Experience with AWS services (S3, Redshift, SageMaker) and big data technologies.
- Excellent communication skills and ability to present technical concepts to non‑technical audiences.
Skills
pythonsqlmachine learningaws