Intern - CFO - IT

At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.

Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact.

We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.

As a Gilead intern you will contribute to high-impact meaningful projects that will not only further advance our company’s mission but will allow you to gain real world experience at one of the most innovative organizations in the world. You will also have opportunities to participate in special events including professional development and leadership presentations, social/network building activities and local community volunteer programs.

As an AI/ML intern in Enterprise Data & Analytics, you will contribute to high-impact projects in Research & Development and PDM/Tech Ops. You’ll gain hands‑on experience with advanced analytics, data science, and AI/ML applications in a dynamic, collaborative environment.

Key Responsibilities will include, but are not limited to the following:

• Collaborate with Agile teams to understand requirements for R&D and PDM/Tech Ops applications.
• Support research data science and advanced analytics use cases, including AI/ML and GenAI projects.
• Assist in the development, deployment, and integration of scientific and business applications into HPC and cloud environments.
• Build and maintain data pipelines and ETL processes for large-scale data sets.
• Conduct data cleaning, transformation, and analysis using statistical and machine learning techniques.
• Develop data visualizations and dashboards to communicate insights.
• Integrate Data & Analytics workflows from other platforms with enterprise environments.
• Contribute to solution documentation and present your work at the end of the internship.
• Participate in team meetings, professional development events, and community activities.
• Stay technically current through education and planning.
• Showcase your work with a final presentation (PPT) near the conclusion of your internship

Required Qualifications:

• Must be at least 18 years of age at the start of the internship.
• Must be enrolled full‑timein a Bachelor’s, Master’s, MBA, JD or PhD program at a nationally accredited U.S. college or university, with continued full‑timeenrollmentrequiredin the Fall semester following the internship.
• Must be currently enrolled as an undergraduate (freshman, sophomore, junior, or senior) or as a graduate/doctoral student.
• Must have a minimum overall cumulative GPA of 2.8 at the time of application and hire(official transcripts will be requested).
• Must be independently authorized to work in the United States now and in the future (current or future work authorization must not require school or employer sponsorship) official transcripts are required.
• Must be able to commit to afull‑time internship lasting 10–12 consecutive…