Data Science Intern: Process Ops & AI Dashboards

Kite Pharma; Santa Monica (CA); Hybrid; USD 26,000 - 76,000; Full time

Benefits offered by this job

Paid holidays

Housing stipend

Job summary

Kite Pharma, based in Santa Monica, CA, offers an internship in Tech Ops (Process Development) to work on analytics, dashboards, and AI-enabled tools that enhance process performance. The role emphasizes collaboration with cross‑functional teams and real‑world data projects within a leading biopharmaceutical environment.

The program includes professional development, leadership presentations, and opportunities to participate in community activities.

Qualifications

• Enrolled full‑time in a U.S. college or university (Bachelor/Master/MBA/JD/PhD) with Fall enrollment after internship.
• Undergraduate or graduate student with minimum GPA 2.8 at application and hire.
• Authorized to work in the United States without current sponsorship.
• Commit to a 10–12 week full‑time internship between May and August.
• Internship is hybrid; fully remote roles are not offered.

Responsibilities

• Execute a defined analytics and digital innovation project on Process Development and Manufacturing data.
• Develop dashboards, AI-enabled tools, and automated workflows to improve process visibility.
• Apply data science, machine learning, and generative AI for decision support and insights.
• Partner with technical and business stakeholders to identify high‑value use cases and deliver scalable solutions.
• Generate recommendations contributing to digital transformation and advanced analytics initiatives.
• Present final work with a PPT near internship completion.

Skills

Python

R

Data science

AI tools

Cloud analytics

GitHub Copilot

Tools

GitHub Copilot

Microsoft Copilot

Job description

Kite Pharma, based in Santa Monica, CA, offers an internship in Tech Ops (Process Development) to work on analytics, dashboards, and AI-enabled tools that enhance process performance. The role emphasizes collaboration with cross‑functional teams and real‑world data projects within a leading biopharmaceutical environment.

The program includes professional development, leadership presentations, and opportunities to participate in community activities.