Intern - Development - Governance, Risk & Analysis

Gilead Sciences•Foster City, CA

2d•$20 - $55•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.

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 required 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) official transcripts are required.
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 (relocation may be required). All internships are hybrid; fully remote roles are not offered.

Nice To Haves

Preferred degree level: Graduate/PhD
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
Has knowledge in key areas, such as statistical analysis, data automation, data mining and/or data visualization.
Has advanced knowledge of data science best practices and tools and has experience in applying them to data science solutions.
Strong knowledge of modern machine learning architectures and platforms.

Responsibilities

Support the creation and execution of new mechanisms to define, measure, and monitor quality performance/quality health of the Quality Management System (QMS) and other areas of quality operations (e.g., Audit, Clinical Quality, etc.).
Contributes to the design of data science workflows for the assigned area, incorporating best practice statistical analysis, data engineering, automation and visualization, and other contemporary machine learning techniques, models, and tools.
Builds, implements, tests, deploys, and maintains innovative data and machine learning solutions to analyze complex data, build insights, and drive innovative process improvements of the QMS.
Work with complex, structured and unstructured data from a variety of sources and implement machine learning/algorithms to enable detection of signals, trends, and potential areas of risk.
Contribute to the building of tools and libraries to streamline the data analytics automation efforts and knowledge sharing.
Showcase your work with a final presentation (PPT) near the conclusion of your internship.