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R Python Programmer / Data Scientist, Epidemiologic Research - Kaiser Permanente
Data Scientist
Data Scientist focused on epidemiologic research, leveraging R and Python to extract, clean, and analyze large health datasets, ensuring data quality and generating actionable insights for public health initiatives.
About the role
Key Responsibilities
- Develop and maintain analytical pipelines in R and Python for large-scale epidemiologic studies.
- Extract, merge, and transform data from multiple sources using SQL, SAS, and SPSS.
- Perform data quality checks, validation, and documentation to support reproducible research.
- Generate statistical reports and visualizations to communicate findings to stakeholders.
- Collaborate with cross‑functional teams to design study protocols and analytical plans.
Requirements
- Proficiency in R and Python for data manipulation and statistical analysis.
- Strong SQL skills for querying relational databases.
- Experience with SAS and SPSS for data management and analysis.
- Background in epidemiology or public health research preferred.
- Excellent communication skills and ability to translate complex data into clear insights.