Intern, Research

About the Role

Intern - Research - Discovery Sciences and Technologies - AI at Gilead Sciences.

Key Responsibilities

• Contribute to research projects using cutting-edge technologies, including CRISPR screening and high-content imaging.
• Apply machine learning, statistical modeling, and data science approaches to analyze large-scale biological datasets and investigate mechanisms relevant to therapeutic discovery.
• Explore and evaluate AI-enabled workflows for cellular phenotype identification, data interpretation, and visualization.
• Integrate experimental results with relevant genomic and clinical datasets to strengthen biological interpretation and hypothesis generation.
• Collaborate with experimental scientists to support experimental data generation and validation efforts.
• Partner with scientists across Discovery Sciences & Technologies to contribute to data-driven discovery and platform innovation.
• Showcase work with a final presentation 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, 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.
• Minimum overall cumulative GPA of 2.8 at the time of application and hire.
• Must be independently authorized to work in the United States now and in the future (work authorization must not require school or employer sponsorship).
• Must 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.

Preferred Qualifications

• Working toward a Bachelor's, Master's, or Ph.D. degree in Computer Science, Physics, Mathematics, Statistics, Data Science, Computational Biology, Bioinformatics, or a related quantitative or life sciences field.
• Hands-on experience in Python, machine learning, statistical modeling, or generative AI tools.
• Ability to collaborate with scientists and translate research questions into data-driven or AI-enabled approaches.
• Experience analyzing biological imaging, functional-genomics, or other high-dimensional scientific datasets.
• Experience with machine learning, data visualization, or multimodal data integration.
• Experience using large language models or AI coding and agentic tools, such as Claude Code or OpenAI Codex.
• Familiarity with concepts in functional genomics, cell biology, cancer biology, or immunology.
• 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 with short timelines.

Internship Details

• Internship Duration: 10–12 consecutive weeks between May and August.
• Work Arrangement: Hybrid; fully remote roles are not offered.
• Hourly Range: $20.00 - $55.00.
• Benefits: Paid company holidays, sick time, and housing stipends for eligible employees.