Intern - Development - CDS AI Research Center

Gilead Sciences•Foster City, CA

1d•$20 - $55•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

Preferred degree level: Graduate/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 (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
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 expereience 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

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 decision
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