Intern, Kite Development

About the Role

• Intern - Kite Development - Tech Ops (Process Development) at Gilead Sciences.
• Opportunity to contribute to high-impact projects and gain real-world experience.
• Participation in special events: professional development, leadership presentations, social/network building activities, and local community volunteer programs.
• Expected hourly range: $19.00 - $55.00.
• Benefits include paid company holidays, sick time, and housing stipends for eligible employees.

Key Responsibilities

• Execute a defined analytics and digital innovation project focused on extracting value from Process Development and Manufacturing data.
• Develop dashboards, AI-enabled tools, and automated workflows to improve visibility into process performance and operational outcomes.
• Apply data science, machine learning, and generative AI technologies to evaluate opportunities for enhanced decision support and process understanding.
• Partner with technical and business stakeholders to identify high-value use cases and deliver practical, scalable solutions.
• Generate recommendations for future digital transformation and advanced analytics initiatives.
• Showcase work with a final presentation (PPT) near the conclusion of the internship.

Requirements & Tech Stack

• Must be at least 18 years of age at the start of the internship.
• Must be enrolled full-time in a Bachelor's, Master's, MBA, JD, or PhD program at a nationally accredited U.S. college or university.
• Continued full-time enrollment required in the Fall semester following the internship.
• Currently enrolled as an undergraduate (freshman, sophomore, junior, or senior) or as a graduate/doctoral student.
• Minimum overall cumulative GPA of 2.8 at the time of application and hire.
• Independently authorized to work in the United States now and in the future (no sponsorship required).
• Commitment to a full-time internship lasting 10–12 consecutive weeks between May and August.
• Willing and able to work at the designated site for the duration of the internship (relocation may be required).
• Internships are hybrid; fully remote roles are not offered.

Qualifications

• Preferred degree level: Graduate.
• Preferred field of study: Computer Science, Data Science, Bioinformatics, Statistics, Biomedical Engineering, Chemical Engineering, Biotechnology, or a related discipline.
• Proficiency with Microsoft Office (MS Office) tools (Word, Excel, PowerPoint, Outlook).
• Strong problem-solving skills.
• Ability to work effectively both independently and as part of a team in a collaborative environment.
• Demonstrated commitment to inclusion and diversity.
• Highly organized, detail-oriented, and able to manage competing priorities in a fast-paced environment.
• Programming experience in Python and/or R for data analysis, visualization, and automation.
• Experience using generative AI and AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, or similar technologies.
• Experience integrating and analyzing data from multiple sources to generate actionable insights.
• Knowledge of cloud-based analytics, data engineering, or software development tools is a plus.