Remote Data Scientist: R & Python for Epidemiology

Kaiser Permanente; Pasadena (CA); Remote; USD 110,000 - 170,000; Full time

Job summary

Kaiser Permanente in Pasadena, CA seeks a skilled R and Python Programmer / Data Scientist for epidemiologic research. The role emphasizes analytical programming (SAS/SQL/R/Python), data management, quality control, and automated reporting within a largely remote environment for CA residents.

Responsibilities include extracting and merging large databases, performing basic analyses, and translating business needs into data-driven outcomes. Strong collaboration and communication are essential.

Qualifications

• Minimum one year experience programming with SAS, SQL, R or other analytical language.
• Bachelor's degree in Mathematics, Statistics, Engineering, Science, Business, or related field.

Responsibilities

• Performs data management, quality control, and reporting for analytics projects.
• Extracts, merges, and manipulates large datasets to create analytical data.
• Supports data-informed decision making with clear stakeholder communications.
• Develops automated reporting and data loading schemes.
• Collaborates cross-functionally to solve business problems.
• Organizes and presents results to stakeholders with compelling storytelling.

Skills

Ambiguity/Uncertainty Management

Attention to Detail

Business Knowledge

Communication

Critical Thinking

Cross-Group Collaboration

Decision Making

Problem Solving

Teamwork

Topic-Specific Communication

Education

Bachelor's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field

Tools

SAS Tools

SQL/SAS

Data Mining

Data Visualization Tools

Statistical Programming Language

Written Communication

Job description

Kaiser Permanente in Pasadena, CA seeks a skilled R and Python Programmer / Data Scientist for epidemiologic research. The role emphasizes analytical programming (SAS/SQL/R/Python), data management, quality control, and automated reporting within a largely remote environment for CA residents.

Responsibilities include extracting and merging large databases, performing basic analyses, and translating business needs into data-driven outcomes. Strong collaboration and communication are essential.