Intern - CFO - IT

Gilead Sciences•Foster City, CA

10h•Hybrid

About The Position

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.

Requirements

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, with continued full‑time enrollment in 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).
Must be able to commit to a full‑time internship lasting 10–12 consecutive weeks between May and August.
Must be willing and able to work at the designated site for the duration of the internship.

Nice To Haves

Preferred degree level: Undergraduate, Graduate, MBA, PhD, JD, or PharmD (based on role alignment)
Preferred field of study: Biology, Computer Science, Data Science, Engineering, or related fields.
Proficiency with Microsoft Office (MS Office) tools, such as Word, Excel, PowerPoint, and Outlook
Strong problem‑solving skills, with the ability to identify issues and proactively seek solutions
Ability to work effectively both independently and as part of a team in a collaborative environment
Demonstrated commitment to inclusion and diversity, including the ability to work respectfully with individuals from diverse backgrounds
Highly organized, detail‑oriented, and able to manage competing priorities in a fast‑paced environment with short timelines
Experience with Python, SQL, R, Databricks, Tableau, Power BI, and cloud platforms.
Familiarity with Linux, CI/CD tools, and job scheduling environments (e.g., Slurm).
Understanding of biology, chemistry, or related scientific domains is a plus.

Responsibilities

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.