Intern - Research - Oncology Biomarker - AI

At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.

Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact.

We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfill their aspirations. Join Gilead and help create possible, together.

Job Description

Intern - Research - Oncology Biomarker - AI

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.

Key Responsibilities will include, but are not limited to the following:

• Apply knowledge of molecular biology, cell biology, biochemistry, biology, and chemistry to support the analysis and interpretation of companion diagnostic and drug development data.
• Engage cross-functional stakeholders to identify the companion diagnostic (CDx) information most valuable for informing diagnostic and drug development strategy from FDA-approved in vitro companion diagnostic resources.
• Design and implement an AI-enabled solution that leverages the FDA companion diagnostic database API and associated approval resources to retrieve, organize, and analyze CDx-related information.
• Develop and apply AI-driven workflows to extract, structure, validate, and organize information from FDA companion diagnostic listings and supporting documents, including PDF-based approval summaries.
• Design and recommend an efficient, searchable CDx information architecture, including direct API-based retrieval, structured databases, knowledge bases, or hybrid solutions.
• Recommend a sustainable architecture and maintenance strategy to ensure continued access to current companion diagnostic information as new diagnostics and updates become available.
• Present project findings, recommendations, and deliverables in a final PowerPoint presentation at the conclusion of the internship.

Required Qualifications:

• 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.

Preferred Qualifications:

• Preferred Degree qualification: Undergraduate
• Preferred field of study: Working toward a Bachelor's, Master's or Ph.D. degree in Computer Science, Physics, Mathematics, Statistics, Data Science, or a related AI-focused 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
• 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

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