Biostatistics Associate Director: Lead Clinical Trials

Bristol-Myers Squibb Company; Seattle (WA); On-site; USD 209,000 - 253,000; Full time

Benefits offered by this job

Medical benefits

Flexible time off

Stock options

Wellbeing programs

Job summary

Bristol Myers Squibb is seeking an Associate Director of Biostatistics to contribute to trial design, analysis planning, and regulatory submissions. You will collaborate with cross-functional teams, defend analysis plans, and provide leadership across studies within an indication or therapeutic area.

The role requires advanced statistics expertise, programming skills (SAS/R/Python), and strong communication to drive high-quality outcomes in drug development.

Qualifications

• PhD (6+ years’ experience) or MS (8+ years’ experience) in statistics/biostatistics with clinical trials experience.
• Proficiency in SAS, R or Python and advanced statistical analysis.
• Strong written and oral communication and organizational skills.
• Expertise in statistical/clinical trials methodology and regulatory context.
• Demonstrated collaboration, leadership, and project management abilities.

Responsibilities

• Collaborate in design of innovative and efficient clinical trials and contribute to study objectives.
• Defend protocols and analysis plans at governance reviews and provide independent reviews.
• Author/review statistical sections in CSRs and publications.
• Present data and analyses clearly to cross-functional teams and stakeholders.
• Provide statistical support for regulatory interactions and publications.
• Lead or mentor team members and support performance development.

Skills

Statistical analysis

Clinical trials

Interpersonal skills

Writing and communication

Education

PhD in Biostatistics

MS in Statistics

Tools

SAS

R

Python

Job description

Bristol Myers Squibb is seeking an Associate Director of Biostatistics to contribute to trial design, analysis planning, and regulatory submissions. You will collaborate with cross-functional teams, defend analysis plans, and provide leadership across studies within an indication or therapeutic area.

The role requires advanced statistics expertise, programming skills (SAS/R/Python), and strong communication to drive high-quality outcomes in drug development.