Alexion is seeking a Quantitative Intern to support the Quantitative Sciences organization at its Boston-Seaport, Massachusetts location. The PhD intern will work on a specialized short-term project supporting capability builds or key business initiatives, including performing a literature review of Bayesian statistical methods, conducting a simulation study to evaluate design characteristics, and presenting the work at a departmental seminar.
Responsibilities
- Perform a literature review for Bayesian statistical methods, incorporating external evidence in the design of phase 3 studies.
- Conduct a comprehensive simulation study to evaluate the characteristics of the design, with discussions under varying assumptions.
- Present the intern work at the departmental seminar and write a final report of the entire internship project.
Required Qualifications
- Currently pursuing a PhD in Biostatistics, Statistics, or related fields.
- Completed two years of graduate work and passed the doctoral qualification exam prior to the start of the internship.
- Meeting the applicable graduation timeline requirements with an anticipated graduation date set for after August 2027.
- US Work Authorization is required at time of application. Applicants must have work authorization that does not require future sponsorship.
- This role will not be granting OPT support.
- Familiarity with statistical simulations and demonstrated ability to conduct independent statistical research.
- Proficient programming skills in R and SAS.
- Excellent writing, communication, and interpersonal skills.
- Ability to report on site to Boston-Seaport, MA 3 days per week. This role will not provide relocation assistance.
- Program Dates: June 7th - August 13th, 2027
- Hourly rate: $48(PhD)
- #earlytalent
Date Posted
12-Nov-2026
Closing Date
29-Nov-2026
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