Remote Director of Statistical Programming

BridgeBio Pharma; San Francisco (CA); Remote; USD 242,000 - 269,000; Full time

Benefits offered by this job

Market-leading compensation

401(k) with employer match

Employee Stock Purchase Program (ESPP)

Hybrid work model

Paid time off

Job summary

BridgeBio Pharma in the United States seeks a Director of Statistical Programming to lead and hands-on program for multiple studies, and to guide CRO deliverables for submissions. The role emphasizes cross-functional collaboration and regulatory excellence.

You will set up SAS workflows, drive automation, and help advance AI-assisted methods while ensuring CDISC compliance and timely delivery across programs.

Qualifications

• MS in Statistics, Computer Science, or related field with 10+ years of experience, or BS with 12+ years.
• Extensive CDISC standards knowledge and FDA submission experience.
• Experience overseeing CROs and NDA/BLA submissions.
• Ability to lead multiple projects in a fast-paced environment.

Responsibilities

• Lead statistical programming for multiple clinical studies and submissions.
• Review CRO deliverables for accuracy and regulatory compliance.
• Manage deliverables related to study reports, data integrations, and queries.
• Collaborate with external alliances for programming tasks and coordination.
• Set up SAS environment and automate delivery, including AI-assisted tools.
• Represent programming in cross-functional teams and establish timelines.
• Develop and maintain programming standards, processes, and SOPs.

Skills

Statistical programming

CDISC standards

FDA submissions

Leadership

AI in analytics

Education

MS in Statistics

BS in Statistics

Tools

SAS

CDISC tooling

Job description

BridgeBio Pharma in the United States seeks a Director of Statistical Programming to lead and hands-on program for multiple studies, and to guide CRO deliverables for submissions. The role emphasizes cross-functional collaboration and regulatory excellence.

You will set up SAS workflows, drive automation, and help advance AI-assisted methods while ensuring CDISC compliance and timely delivery across programs.