Senior Oncology Biostatistician — Clinical Trials

AbbVie Inc.; Irvine (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Paid time off (PTO)

Medical/dental/vision insurance

401(k) plan

Job summary

AbbVie Inc. in the United States seeks a Manager, Statistics to provide statistical expertise for clinical trials, patient safety, and global medical affairs within R&D. The role partners with experts across disciplines to advance medicines for patients.

The position emphasizes independent analysis, SAS/R programming, and clear communication of complex statistics to non-statisticians, with opportunities to contribute to publications and strategic study design.

Qualifications

• MS (with 6+ years of experience) or PhD (with 2+ years of experience) in Statistics, Biostatistics, or a highly related field.
• Pharmaceutical experience or experience and understanding of drug development and life-cycle management in the regulated environment.

Responsibilities

• Provide expertise to design, analysis and reporting of clinical trials or other scientific research studies with detailed programming implementation.
• Identify data collection instruments, report data issues, and provide specifications for derived variables and analysis datasets.
• Independently perform statistical analyses per the analysis plan and collaborate with Statistical Programming to ensure high-quality outputs.
• Develop strategy for data presentation and inference, and contribute to publications of scientific research.
• Work with multifunction teams, explain statistical concepts to non-statisticians, and build cross-functional relationships.

Skills

Statistical computations

Data interpretation

Communication skills

Cross-functional collaboration

Education

MS with 6+ years in Statistics

PhD with 2+ years in Statistics

Job description

AbbVie Inc. in the United States seeks a Manager, Statistics to provide statistical expertise for clinical trials, patient safety, and global medical affairs within R&D. The role partners with experts across disciplines to advance medicines for patients.

The position emphasizes independent analysis, SAS/R programming, and clear communication of complex statistics to non-statisticians, with opportunities to contribute to publications and strategic study design.