Data Analytics & Programming Intern (MS/MPH) - Flexible Hybrid

NALHE; Pasadena (CA); Hybrid; USD 30,000 - 47,000; Part time

Job summary

Kaiser Permanente Southern California invites applications for a 2026 Summer Internship in the Department of Research & Evaluation. The role provides analytical support, data collection, and presentation of results under guidance of a PM/Director.

You will work on study protocols, assemble analytic datasets, and present findings at study meetings. The ideal candidate is a MS/MPH in Biostatistics or CS/Data Science, with experience in Python, R, and Databricks, and strong communication and

Qualifications

• MS or MPH in Biostatistics or CS/Data Science (or en route) preferred.
• Experience with Python, R, and Databricks.
• Strong analytical thinking and problem-solving skills.
• Proficiency in communication and presentation.
• Experience with or knowledge of electronic medical records (EMR).

Responsibilities

• Provide high-level analytical support to a project or department.
• Contribute to a full range of project components.
• Be assigned to at least one project and report results as part of a project team.
• Organize tasks, identify data needs, and set completion timelines.
• Develop tools to document best practices and improve processes.
• Prepare reports in Excel/Word/PowerPoint and create data extracts from databases.
• Create graphics using Excel/PowerPoint as needed.
• Communicate results to management through formal presentations.
• Assist with training information and project plan development.

Skills

Python

R

Databricks

Analytical thinking

Communication

Presentation

EMR experience

Education

MS or MPH in Biostatistics or CS/Data Science

Tools

Access database

Excel

PowerPoint

Job description

Kaiser Permanente Southern California invites applications for a 2026 Summer Internship in the Department of Research & Evaluation. The role provides analytical support, data collection, and presentation of results under guidance of a PM/Director.

You will work on study protocols, assemble analytic datasets, and present findings at study meetings. The ideal candidate is a MS/MPH in Biostatistics or CS/Data Science, with experience in Python, R, and Databricks, and strong communication and