Senior Statistical Programmer — Clinical Trials (SAS)

Becton Dickinson; United States; On-site; USD 120,000 - 165,000; Full time

Job summary

Becton Dickinson seeks an experienced Principal Statistical Programmer to provide hands-on SAS programming support for clinical studies. You will develop analysis datasets and create tables, listings, and figures for reports and submissions, while ensuring regulatory and company standards.

The role requires independent work, collaboration with Biostatistics and CDM, and a proactive approach to risk and data quality in a fast-paced environment. On-site presence is expected at most sites.

Qualifications

• Bachelor's degree with 5+ years in statistical programming in clinical trials or medical devices.
• Master's degree with 3+ years in statistical programming in relevant settings.

Responsibilities

• Develop and maintain complex SAS programs for analysis datasets, tables, listings, and figures for reports and submissions.
• Perform independent program review and validation with complete documentation per regulatory standards.
• Support ad hoc analyses and responses to data review questions in collaboration with statisticians and data management.
• Partner with Clinical Data Management and Biostatistics to review CRFs, database specs, and data derivations.
• Identify programming risks and data issues, communicating findings clearly to study teams.

Skills

SAS programming

SDTM/ADaM

Clinical trials

Regulatory compliance

Data management

Cross-functional collaboration

Attention to detail

Statistical analysis

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, or related field

Master's degree in related STEM field

Tools

SAS Base

SAS/STAT

SAS Macros

CDISC SDTM

CDISC ADaM

Excel

Job description

Becton Dickinson seeks an experienced Principal Statistical Programmer to provide hands-on SAS programming support for clinical studies. You will develop analysis datasets and create tables, listings, and figures for reports and submissions, while ensuring regulatory and company standards.

The role requires independent work, collaboration with Biostatistics and CDM, and a proactive approach to risk and data quality in a fast-paced environment. On-site presence is expected at most sites.