Intern, Research

About the Role

• Gilead Sciences is seeking an Intern for Research in Clinical Virology with a focus on AI.
• Interns will contribute to high-impact projects, gain real-world experience, and participate in professional development events, leadership presentations, social/network building activities, and local community volunteer programs.

Key Responsibilities

• Support HIV Clinical Virology research and development projects, portfolio, and strategy through the implementation and expansion of state-of-the-art and customized AI tools, models, and/or agents.
• Collaborate with virology scientists to translate research questions and workflow needs into data-driven or AI-enabled approaches.
• Develop and evaluate AI-assisted workflows for scientific data analysis, reporting, knowledge synthesis, or decision support.
• Curate and analyze virology data, interpret results, and communicate scientifically sound, data-driven conclusions.
• Document methods, test outputs, and support reproducible, traceable, and responsible use of AI-enabled approaches.
• Participate in team meetings and contribute to collaborative efforts.
• Showcase your work with a final presentation near the conclusion of your 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.
• Must have a 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 (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.

Qualifications

• Preferred degree level: Undergraduate
• Preferred field of study: Working toward a Bachelor's degree in Biology, Computer Science, Data Science, or a related AI-focused field.
• Background in cellular and molecular biology, virology, bioinformatics, computational biology, or a related field, or demonstrated interest in applying AI to biomedical research.
• Hands-on experience in Python, machine learning, statistical modeling, or generative AI tools.
• Strong written and verbal communication skills, including the ability to explain technical approaches and findings to scientific collaborators.
• 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.

Compensation & Benefits

• Expected hourly range: $20.00 - $55.00. Actual compensation will vary based on factors like education level and geographic location.
• Benefits include paid company holidays, sick time, and housing stipends for eligible employees.