About the role#
This is a full-time, paid internship for Summer 2027 based in Boston, Massachusetts. You will join the Quantitative Sciences team to work on a specialized project that supports our business initiatives. This role requires you to work on-site at our Boston-Seaport office three days per week.
What you'll do#
- Build a statistical application using AI tools.
- Run a simulation study to evaluate design characteristics under various assumptions.
- Present your findings at a departmental seminar.
- Write a final report summarizing your project work.
What you'll need#
- Current enrollment in a PhD program for Biostatistics, Statistics, or Mathematics with a graduation date after August 2027.
- US work authorization that does not require future sponsorship.
- Proficiency in R and SAS programming.
- Experience using AI tools.
- Familiarity with statistical simulations and adaptive design in clinical trials.
- Ability to conduct independent statistical research.
- Strong writing, communication, and interpersonal skills.
Location & details#
- Location: Boston-Seaport, Massachusetts.
- Work Modality: Hybrid (3 days per week on-site).
- Term: Summer 2027 (June 7th to August 13th).
- Compensation: $48 per hour.
About AstraZeneca
AstraZeneca is a public pharmaceutical manufacturing company. It focuses on research, development, and global business operations. The company maintains offices in Cambridge and Sodertalje. It employs over 80,000 people.
How to get in at AstraZeneca
Securing an internship at AstraZeneca requires speed because early applicants often get seen before the pile grows. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, which helps you apply among the first. You will find that being at the front of the queue is a significant advantage in a competitive field. Reaching out to the right people often beats applying into a generic queue. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the role or a referral. This approach materially improves your response rates compared to standard applications.
