Intern - Development - CDS AI Research Center

As a Gilead intern, you will contribute to high-impact, meaningful projects that advance our mission and provide 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 and network building activities, and local community volunteer programs.

Key Responsibilities

• Develop and implement stochastic optimization models to support drug portfolio composition, investment allocation, and go/no-go decisions under clinical, regulatory, and commercial uncertainty.
• Investigate advanced optimization approaches, including decomposition algorithms and large-scale mathematical programming methods, to improve the scalability of decision-support models.
• Build and evaluate predictive models, including machine learning models, to forecast clinical trial enrollment and support study planning decisions.
• Collaborate with Clinical Operations, Data Engineering, and AI Research teams to translate quantitative analyses into actionable recommendations.
• Validate models against historical trial data with interpretable outputs built for cross-functional teams.
• Showcase your work with a final presentation (PPT) 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 or 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 to 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 or PhD.
• Preferred major: Computer Science, Chemical Engineering (process systems engineering), Electrical Engineering (power systems engineering), Industrial Engineering, Operations Research, or Mathematics.
• Proficiency with Microsoft 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.
• Prior exposure to clinical trial operations, drug development, or healthcare data.
• Familiarity with multistage stochastic programming.
• Proficiency with Pyomo, Gurobi, or other algebraic modeling languages and solvers.
• Experience with adaptive trial designs, basket studies, or platform trials.
• Hands-on experience with gradient boosted trees, random forests, and neural networks using XGBoost, LightGBM, Keras, PyTorch, or Scikit-learn.
• Familiarity with model context protocol (MCP) and REST APIs.

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.