Clinical Data Programmer II: SAS/R, SDTM/ADaM Expert

Seattle Children's; Seattle (WA); On-site; USD 107,000 - 161,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision plans

403(b)

Life insurance

Paid time off

Tuition reimbursement

Job summary

Seattle Children’s is seeking a Statistical & Clinical Data Management Programmer II to support data programming and study builds for clinical studies. You will develop clinical study databases, review listings, and generate analytic datasets and TFLs for FDA/DSMB reporting while ensuring compliance with FDA, ICH, and CDISC standards.

Strong SAS/R experience is required. The role includes collaboration with biostatisticians, data managers, and external stakeholders, plus contributing to SOPs and

Qualifications

• Bachelor's Degree in a scientific discipline or related field.
• Minimum of three (3) years programming experience, including one (1) year programming in SAS.

Responsibilities

• Provide database and statistical programming support for department’s clinical studies.
• Design, implement, quality control and document programs and database applications.
• Coordinate programming operations with statistical methodologies and packages.
• Analyze user requirements, assist with study builds, generate data dictionaries/variable specifications, and maintain user access requests on EDC databases.
• Serve as a key point of coordination for external partners, EDC vendors, and collaborators to ensure alignment with project goals.

Skills

SAS

R

EDC systems

Data management

FDA/ICH/CDISC knowledge

Education

Bachelor's degree in a scientific discipline

Tools

MediData Rave

MS Access

Advarra

Job description

Seattle Children’s is seeking a Statistical & Clinical Data Management Programmer II to support data programming and study builds for clinical studies. You will develop clinical study databases, review listings, and generate analytic datasets and TFLs for FDA/DSMB reporting while ensuring compliance with FDA, ICH, and CDISC standards.

Strong SAS/R experience is required. The role includes collaboration with biostatisticians, data managers, and external stakeholders, plus contributing to SOPs and