Summer Co-op: Clinical Statistical Modeling

Sanofi; Cambridge (MA); In loco; USD 65.000 - 92.000; Tempo pieno

Descrizione del lavoro

Sanofi in Cambridge, MA invites PhD candidates to join our Clinical Statistical Modeling team as a Summer Intern. This 10-12 week co-op offers hands-on experience applying advanced statistical methods to real-world clinical data, with mentoring from senior statisticians and scientists.

You'll assist in designing and validating models, analyzing trial data, and contributing to decision-making processes across drug development, while learning in a collaborative, innovation-driven environment.

Competenze

• Currently enrolled in a PhD program in Statistics, Biostatistics, Applied Mathematics, CS, Pharmacometrics, or related field.
• Must be permanently authorized to work in the U.S. without visa sponsorship.
• Must be enrolled in an accredited college or university for the duration of the co-op/internship.
• Must relocate to the office and work 40hrs/week, Monday to Friday for the full duration of the co-op/internship.

Mansioni

• Support clinical statistical modeling across ongoing trials and drug development.
• Assist in the design, development, and validation of statistical models used in clinical decision-making.
• Perform data analysis on clinical trial datasets.
• Collaborate with cross-functional teams (Biostatistics, Clinical Pharmacology, Data Management) to support modeling deliverables.
• Help prepare documentation, reports, and visualizations summarizing modeling outputs and findings.
• Participate in team meetings and knowledge-sharing sessions.
• Present a summary of internship project outcomes to the broader team at the conclusion of the internship.

Conoscenze

R

Python

Formazione

PhD in Statistics/Biostatistics/Applied Mathematics/CS/Pharmacometrics

Strumenti

Git

Descrizione del lavoro

Sanofi in Cambridge, MA invites PhD candidates to join our Clinical Statistical Modeling team as a Summer Intern. This 10-12 week co-op offers hands-on experience applying advanced statistical methods to real-world clinical data, with mentoring from senior statisticians and scientists.

You'll assist in designing and validating models, analyzing trial data, and contributing to decision-making processes across drug development, while learning in a collaborative, innovation-driven environment.