Lead Statistical Programming Manager

ABBVIE; South San Francisco (CA); In loco; USD 110.000 - 209.000; Tempo pieno

Vantaggi offerti da questo lavoro

Paid time off

Medical/dental/vision insurance

401(k)

Long-term incentive programs

Descrizione del lavoro

AbbVie in South San Francisco is seeking a Manager of Statistical Programming to lead a team of programmers in early development. You will interface with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Clinical Operations to guide programming strategy and deliver high-quality ADaM datasets and TLFs.

The ideal candidate holds an MS or BS in a related field with extensive SAS and CDISC experience, strong communication skills, and a proven ability to mentor staff within

Competenze

• Experience leading a team of statistical programmers.
• Deep expertise in SAS programming for ADaM datasets.
• Strong understanding of CDISC standards and regulatory filings.

Mansioni

• Leads statistical programming activities for a compound/indication in early development.
• Manages a team of programmers and resource planning for staff.
• Ensures timely deliverables and adherence to quality processes.
• Develops SAS programs for ADaM datasets following CDISC standards.
• Creates Tables, Listings and Figures and ensures data set consistency.
• Prepares regulatory documentation and data definition docs.
• Oversees development of SAS Macros and SOPs.
• Mentors assigned programmers and analysts.

Conoscenze

Team leadership

SAS programming

CDISC standards

Cross-functional collaboration

Effective communication

Formazione

MS in Statistics, Computer Science or related field

BS in Statistics, Computer Science or related field

Strumenti

SAS

CDISC knowledge

Descrizione del lavoro

AbbVie in South San Francisco is seeking a Manager of Statistical Programming to lead a team of programmers in early development. You will interface with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Clinical Operations to guide programming strategy and deliver high-quality ADaM datasets and TLFs.

The ideal candidate holds an MS or BS in a related field with extensive SAS and CDISC experience, strong communication skills, and a proven ability to mentor staff within