Intern - Research - Drug Metabolism - AI

Job Description

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 fulfil their aspirations. Join Gilead and help create possible, together.
Job Description

Intern - Research - Drug Metabolism - 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 artificial intelligence and machine-learning approaches to enhance scientific data analysis, interpretation, workflow efficiency, and decision support across DMPK applications.
• Develop, evaluate, and document reproducible AI-enabled workflows and AI agents, including large language model applications, retrieval-augmented generation, tool-enabled or agentic workflows, and programmatic analytical pipelines for scientific data and research use cases.
• Collaborate with DMPK, bioanalytical, LC-MS, and quantitative scientists to translate scientific questions and workflow needs into practical, data-driven or AI-enabled solutions.
• Analyze representative DMPK datasets and evaluate workflow accuracy, robustness, reproducibility, efficiency, and scientific utility.
• Initial applications will emphasize LC-MS, with potential applicability to PK/PD modeling, simulation, and project-support workflows.
• Document code, methods, model assumptions, testing results, limitations, and recommendations to support transparent and responsible use of AI-enabled scientific workflows.
• Showcase your work with a final presentation near the conclusion of your 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 level: Graduate / PhD
• Preferred majors: 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
• Demonstrated strength in AI/ML development, including programming with Python, R, MATLAB; model development and evaluation; generative AI; large language models; retrieval-augmented generation; and AI workflow or agent development.
• Experience with reproducible scientific computing, version control, data visualization, and documentation of analytical workflows, with familiarity using Visual Studio Code, Git, GitHub, and AI-assisted development tools such as GitHub Copilot or Claude Code.
• Experience working with complex scientific datasets. Familiarity with LC-MS, mass spectrometry, proteomics, bioanalytical data, pharmacokinetics, PK/PD modeling, or simulation is preferred.
• Ability to communicate technical AI concepts clearly and work with scientific subject-matter experts to develop fit-for-purpose solutions.
• 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

Gilead Core Values:

• Integrity (Doing What’s Right)
• Inclusion (Encouraging Diversity)
• Teamwork (Working Together)
• Excellence (Being Your Best)
• Accountability (Taking Personal Responsibility)

The expected hourly range for this position is $20.00 - $55.00.

Gilead considers a variety of factors when determining base compensation, including education level and geographic location. These considerations mean actual compensation will vary.

Benefits include paid company holidays, sick time, and housing stipends for eligible employees.

For jobs in the United States:

For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster.

NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT
YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT

Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law.

Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team.

Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion.

For Current Gilead Employees and Contractors:

Please apply via the Internal Career Opportunities portal in Workday.