Summer 2027 Quantitative Intern PhD

Alexion; Boston (MA); On-site; USD 55,000 - 78,000; Full time

Job summary

Alexion seeks a PhD student for a Quantitative Intern position in Boston, MA. The intern will conduct Bayesian literature reviews, run simulation studies to assess design characteristics, and prepare a final report for the department seminar.

The role requires on-site work in Boston-Seaport three days per week and concludes with a summary presentation. The candidate should be pursuing a PhD in Biostatistics or statistics, have completed two years of graduate work with a qualifying exam, and be

Qualifications

• Pursuing a PhD in Biostatistics or related field.
• Two years of graduate work completed and doctoral qualification exam passed.
• Anticipated graduation date after August 2027.
• US work authorization required at application; must not require future sponsorship.
• No OPT support for this role.
• Familiarity with statistical simulations and ability to conduct independent statistical research.
• Proficient in R and SAS.
• Excellent writing, communication, and interpersonal skills.

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 design characteristics under varying assumptions.
• Present the intern work at the departmental seminar and write a final report of the internship project.

Skills

Statistical research

Literature review

Independent work

Writing & communication

Education

PhD in Biostatistics/Statistics

Two years of graduate work completed and qualifying exam

Anticipated graduation after Aug 2027

Tools

R

SAS

Job description

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)

Date Posted

12-Nov-2026

Closing Date

29-Nov-2026

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