2027 Summer Intern Clinical Statistical Modeling Cambridge MA

Qualifications

• Currently enrolled in a PhD program in Statistics, Biostatistics, Applied Mathematics, Computer Science, Pharmacometrics, or a related quantitative field.
• Permanent authorization to work in the U.S. without requiring future sponsorship.
• Enrollment in an accredited college or university throughout the internship duration.
• Ability to relocate to Cambridge, MA and commit to a full-time schedule (40hrs/week).
• Proficiency in R and/or Python for statistical programming is preferred.
• Strong foundation in statistical theory and methods is advantageous.
• Prior coursework or research experience in clinical trial design is a plus.

Responsibilities

• Support clinical statistical modeling activities for ongoing clinical trials.
• Assist in designing, developing, and validating statistical models for clinical decision-making.
• Perform data analysis and exploratory statistical work on clinical trial datasets.
• Collaborate with cross-functional teams to support modeling deliverables.
• Help prepare documentation, reports, and visualizations of modeling outputs.
• Participate in team meetings and knowledge-sharing sessions.
• Present internship project outcomes to the broader team at the end of the internship.

Benefits

• Gain hands-on experience in clinical statistical modeling and drug development.
• Collaborate with experienced professionals in a cross-functional team environment.
• Opportunity to present findings to a broader audience, enhancing communication skills.
• Access to mentorship and networking opportunities within the organization.