Intern - Development - Biostatistics Oncology

Gilead Sciences•Foster City, CA

12h•$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 qualification: PhD
Preferred Major: Biostatistics or related area
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
Experience in oncology clinical trials, treatment switching adjustment methods (TSE, IPCW, RPSFTM), Bayesian borrowing approaches (BHM, CBHM, BMA), or mixture/partition-based models (MFM, clustering methods).

Responsibilities

Apply advanced statistical methodologies, including Bayesian statistics, survival analysis, and causal inference, to address complex research questions in drug development and healthcare.
Develop, implement, and evaluate hierarchical models, treatment effect estimation approaches, and clinical trial methodologies to support evidence generation and decision-making.
Design and execute simulation studies and reproducible statistical analyses using R and other relevant statistical computing tools (e.g., Stan, JAGS, NIMBLE, or PyMC).
Conduct methodological research focused on the development and advancement of innovative statistical models and analytical techniques.
Collaborate with cross-functional teams to translate complex statistical findings into clear, actionable recommendations for scientific, clinical, and business stakeholders.
Communicate research outcomes through reports, presentations, publications, and conference contributions.
Document analytical processes and maintain reproducible workflows that support transparency and scientific rigor.
Showcase your work with a final presentation (PPT) near the conclusion of your internship