Senior Manager, Statistical Programming - Oncology Early Development
AbbVie
July 02, 2026
Remote friendly (South San Francisco, CA)
United States
$124,500 - $236,500 USD yearly
Clinical Research and Development
The Senior Manager, Statistical Programming performs statistical programming and analysis oversight for OED (Oncology Early Development) clinical projects conducted by CROs. Oversees several compounds/indications on all statistical programming tasks delivered by CROs. Ensures data integrity and high-quality analysis from first in human through clinical proof of concept. Performs hands-on programming to validate analysis datasets and TLFs delivered by CROs and supports in-house studies for full set of analysis tasks. May manage regular or contract statistical programmers.
Responsibilities:
- Lead statistical programming activities for one or more compounds/indications or a therapeutic area.
- Manage a team of statistical programmers; plan resources for assigned projects.
- Ensure timely deliverables, quality processes, and consistency across projects.
- Develop and oversee SAS programs to create ADaM datasets following CDISC standards.
- Develop and oversee SAS programs to create Tables, Listings, and Figures.
- Ensure ADaM dataset consistency for individual studies and integrated data.
- Create documentation for regulatory filings (reviewer guides, data definition documents).
- Lead development of standard SAS macros and standard operating procedures.
- Manage, mentor, and create career development plans; participate in recruitment and selection.
Qualifications:
- MS in Statistics/Computer Science or related field with 9+ years relevant experience; OR BS with 11+ years.
- Minimum 2 years leading a team of statistical programmers.
- In-depth SAS programming knowledge for drug development.
- In-depth understanding of CDISC standards.
- In-depth understanding of drug development process, including regulatory filings experience.
- Clear oral and written communication; represent Statistical Programming Organization in cross-functional teams.
- Ability to estimate effort for project-related programming activities.
Benefits:
- Paid time off (vacation, holidays, sick), medical/dental/vision insurance, and 401(k) to eligible employees.
- Eligibility to participate in long-term incentive programs.
Responsibilities:
- Lead statistical programming activities for one or more compounds/indications or a therapeutic area.
- Manage a team of statistical programmers; plan resources for assigned projects.
- Ensure timely deliverables, quality processes, and consistency across projects.
- Develop and oversee SAS programs to create ADaM datasets following CDISC standards.
- Develop and oversee SAS programs to create Tables, Listings, and Figures.
- Ensure ADaM dataset consistency for individual studies and integrated data.
- Create documentation for regulatory filings (reviewer guides, data definition documents).
- Lead development of standard SAS macros and standard operating procedures.
- Manage, mentor, and create career development plans; participate in recruitment and selection.
Qualifications:
- MS in Statistics/Computer Science or related field with 9+ years relevant experience; OR BS with 11+ years.
- Minimum 2 years leading a team of statistical programmers.
- In-depth SAS programming knowledge for drug development.
- In-depth understanding of CDISC standards.
- In-depth understanding of drug development process, including regulatory filings experience.
- Clear oral and written communication; represent Statistical Programming Organization in cross-functional teams.
- Ability to estimate effort for project-related programming activities.
Benefits:
- Paid time off (vacation, holidays, sick), medical/dental/vision insurance, and 401(k) to eligible employees.
- Eligibility to participate in long-term incentive programs.