Intern - PDM - Bio Pivotal Analytical Development

Gilead Sciences•Foster City, CA

12h•$19 - $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. This internship offers a unique opportunity to gain hands-on experience in biopharmaceutical analytical testing while exploring the application of laboratory automation, data science, and AI-enabled tools to accelerate scientific workflows and improve operational efficiency.

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).
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: Undergraduate
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 working in a laboratory environment and performing standard wet-lab techniques.
Strong critical thinking and problem-solving skills, with the ability to analyze data and troubleshoot technical challenges.
Interest in analytical method development, laboratory automation, and digital transformation of scientific workflows.
Experience using generative AI tools responsibly, including reviewing outputs for accuracy, identifying potential hallucinations, and refining prompts to improve results.
Familiarity with data analysis tools such as Excel, Python, R, or similar platforms.
Experience with laboratory automation or programmable liquid handling systems is a plus.
Demonstrated interest in applying AI, automation, or data science approaches to solve scientific problems.

Responsibilities

Learn and apply a biopharmaceutical analytical method (e.g., Capillary Electrophoresis [CE], capillary isoelectric focusing [cIEF], ELISA plate based assays or related techniques) through hands-on laboratory training and assay execution.
Develop a foundational understanding of assay principles, workflows, data generation, and analytical method performance to support scientific and operational decision-making.
Support efforts to automate analytical workflows by evaluating, programming, and optimizing laboratory automation platforms (e.g., liquid handling systems) for partial or end-to-end assay execution.
Adapt, enhance, and validate existing AI-enabled data processing tools for use with a new analytical method, including data aggregation, analysis, visualization, and reporting workflows.
Collaborate with scientists and automation specialists to identify opportunities for improving assay efficiency, reducing manual effort, and enhancing data quality through digital and automated solutions.
Analyze experimental results, troubleshoot technical challenges, and document findings to support method development, process improvement, and implementation activities.
Present project progress, technical findings, and recommendations to stakeholders throughout the internship.
Showcase your work with a final presentation (PPT) near the conclusion of your internship