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Cambridge, MA

Internship

Onsite

$57/hr - $57/hr

Intern

Sanofi is seeking a Summer Intern to support its Statistical Methodology team. The intern will research statistical methods for oncology trials, evaluate methods through simulation studies, and document and present findings.

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Responsibilities

Literature review & methodology research — Survey recent advances in statistical methods for oncology trials, including survival analysis, estimands, adaptive designs, and emerging methodology such as Prediction-Powered Inference (PPI), machine learning, etc
Simulation studies — Design and implement simulation studies in R and/or SAS to evaluate the operating characteristics of novel statistical methods (Type I error, power, bias, coverage)
Documentation & reporting — Prepare statistical methodology documentation or paper and present a final deliverable (slide deck + technical memo) summarizing literature review, case study insight, simulation findings, and methodology exploration

Qualification

Required

Currently enrolled and pursuing a PhD program in Biostatistics, Statistics, or a related field
Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the Internal requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship
Must be enrolled in an accredited college or university throughout the duration of the co-op/internship

Preferred

Completion of at least 3 years of doctoral-level coursework
Experience with and proficient in R and/or SAS programming
Prior coursework or research experience in oncology or clinical trials
Experience with adaptive trial designs (seamless, platform, basket/umbrella trials)
Familiarity with machine learning methods and their application to clinical data
Knowledge of emerging methods such as Prediction-Powered Inference (PPI), Bayesian adaptive designs, or causal inference
Prior internship or research experience in the pharmaceutical/biotech industry
Strong communication skills and ability to synthesize technical content
Self-motivated, collaborative, and intellectually curious

Benefits

A supportive, future focused team
Apprenticeships, internships, graduate programs, and international experiences that grow with you
Learn from inspiring mentors and collaborative teams while contributing to real projects that shape the future of healthcare
Access to the latest tools, digital innovation, and continuous learning

Sanofi is a global biopharma company focused on prescription drugs, vaccines, and treatments for chronic, rare, and infectious diseases.

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