Senior Manager, Statistical Programming — Clinical Data

Eisai US; Trenton (NJ); On-site; USD 139,000 - 182,000; Full time

Benefits offered by this job

Salary transparency

Job summary

Eisai Inc. is seeking a Senior Manager, Statistical Programming to oversee SAS programming across multiple studies, ensuring timely, high-quality output from inception through submission. You will lead projects, collaborate with Biostatistics, Data Management, and Clinical Ops, and mentor team members.

The role requires strong SAS and CDISC experience, vendor management, and a track record of leading Phase I/II programming efforts within a pharmaceutical/academic environment.

Qualifications

• Bachelors or Masters in computer science, public health, biostatistics, statistics, or related field.
• 5+ years (Masters) or 8+ years (Bachelors) in clinical development statistical programming, preferably pharma/CRO/academic.
• Experience driving results and influencing stakeholders.
• Vendor management experience.
• SAS proficiency required.
• Experience with CDISC SDTM/ADaM.
• Exposure to Phase I & II studies requested.
• Proven performance in previous roles.

Responsibilities

• Manage one or more statistical programming projects with cross-functional teams and vendors.
• Develop and review codes, create datasets and TLGs per SAP.
• Review SAS analyses and contribute to implementation.
• Collaborate with Biostatistics, Data Management, Clinical Ops to ensure data accuracy.
• Identify external partners/vendors and monitor deliverables quality.
• Improve processes and tools within the team; mentor junior staff.

Skills

Statistical Programming

SAS

CDISC SDTM/ADaM

Vendor Management

Project Management

Cross-functional Influence

Mentoring

Biostatistics/Clinical Data

Education

Bachelor/Master degree in related field

Tools

SAS

CDISC SDTM/ADaM tools

Job description

Eisai Inc. is seeking a Senior Manager, Statistical Programming to oversee SAS programming across multiple studies, ensuring timely, high-quality output from inception through submission. You will lead projects, collaborate with Biostatistics, Data Management, and Clinical Ops, and mentor team members.

The role requires strong SAS and CDISC experience, vendor management, and a track record of leading Phase I/II programming efforts within a pharmaceutical/academic environment.