Strategic Director, Oncology Biostatistics

Bristol-Myers Squibb Co; Cambridge (MA); On-site; USD 279,000 - 339,000; Full time

Benefits offered by this job

Health Coverage

Wellbeing Support

Financial Well-being

Job summary

Bristol Myers Squibb is seeking a Senior Director of Oncology Biostatistics to lead the Biostatistics function across therapeutic areas and drive study design, analyses, and regulatory submissions. You will guide statisticians, shape development strategies, and partner with cross‑functional teams globally to advance clinical programs and market access.

The role emphasizes leadership, collaboration, and the application of advanced statistical methods to complex trials, with a focus on

Qualifications

• PhD or MS (12+ years’ experience) in statistics or biostatistics with clinical trials experience.
• Proficiency in SAS, R or Python and implementation of advanced statistical analysis.
• Excellent interpersonal, communication, writing and organizational skills.
• Experience with global regulatory interactions.
• Management experience preferred for people manager role.

Responsibilities

• Direct statisticians to ensure high quality, timely deliverables.
• Manage budgets and allocate resources across compounds/indications.
• Represent the company in interfaces with regulatory agencies globally.
• Drive process improvements and contribute to SOP development and training.
• Lead cross‑functional teams and participate in industry discussions.

Skills

SAS

R

Python

Biostatistics

Clinical trials

Education

PhD or MS in statistics/biostatistics

Tools

SAS

R

Python

Job description

Bristol Myers Squibb is seeking a Senior Director of Oncology Biostatistics to lead the Biostatistics function across therapeutic areas and drive study design, analyses, and regulatory submissions. You will guide statisticians, shape development strategies, and partner with cross‑functional teams globally to advance clinical programs and market access.

The role emphasizes leadership, collaboration, and the application of advanced statistical methods to complex trials, with a focus on