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Sanofi · 4 months ago

Statistical Methodology- Summer 2026 Intern

Cambridge, MA

Internship

Onsite

Intern

Start in 2026 Summer

Sanofi is an innovative global healthcare company dedicated to improving people’s lives. They are seeking a motivated PhD-level intern in Biostatistics or a related quantitative discipline to focus on statistical challenges in gene therapy clinical trials during a 12-week summer internship in 2026.

Health CareLife SciencePharmaceuticalTherapeutics

No H1B

Responsibilities

Conduct a structured literature review on statistical challenges and solutions in gene therapy clinical trials (e.g., small sample sizes, external control borrowing, long-term efficacy modeling)

Perform an in-depth case study analysis of a gene therapy approved by the FDA or EMA, including trial design, statistical strategy, and regulatory feedback

Explore one or more advanced statistical methodologies, such as:

+ Bayesian borrowing and hierarchical models

+ External/synthetic control arm methodology

+ Survival extrapolation or longitudinal modeling

+ Propensity score or indirect comparison (e.g., MAIC/STC)

Implement methods in R and/or SAS with support from the team

Participate in weekly check-ins to present findings and get feedback

Prepare the statistical methodology paper and present a final deliverable (slide deck + technical memo) summarizing literature review, case study insights, and methodology exploration

Qualification

BiostatisticsR programmingSAS programmingBayesian statisticsClinical trial fundamentalsIntellectually curiousCommunicationSelf-motivatedCollaborative

Required

Currently enrolled and pursuing a PhD program in Biostatistics, Statistics, or a related field

Completion of at least 3 years of doctoral-level coursework

Experience with and proficient in R and/or SAS programming

Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship

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 requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship

Preferred

Familiarity with one or more of the following areas is a plus: Rare disease trials, such as: Understanding of the unique challenges in rare disease clinical development, e.g., the small and heterogeneous patient populations, limited historical data, regulatory pathways (e.g., FDA/EMA accelerated approval, orphan drug designation), and innovative trial designs (adaptive designs, basket/umbrella/platform trials). Experience with endpoints suited for rare conditions, natural history studies, external/historical controls, and strategies for patient recruitment and retention in ultra-rare settings is highly valued

Bayesian statistics, such as: Understanding how Bayesian inference is applied in gene therapy trials to address uncertainty with small sample sizes, long-term follow-up, and rare-event safety signals. Knowledge of Bayesian methods for clinical trial design and analysis, including borrowing from historical/external controls, hierarchical models for small subgroups, and dynamic borrowing frameworks (e.g., power priors, commensurate priors). Familiarity with Bayesian adaptive designs (dose-escalation, futility/efficacy monitoring), posterior probability–based decision rules, and predictive probability methods to support interim decision-making

Strong understanding of clinical trial fundamentals and statistical inference

Strong communication skills and ability to synthesize technical content

Self-motivated, collaborative, and intellectually curious