AD Statistical Programming

in Pharma
  • San Francisco, CA View on Map
  • Salary: $190,000.00 - $195,000.00
Permanent

Job Detail

  • Experience Level Manager
  • Degree Type Bachelor of Science (BS)
  • Employment Full Time
  • Working Type On Site
  • Job Reference 0000009281
  • Salary Type Annually
  • Industry Pharmaceuticals
  • Selling Points

    Be the 2nd SAS Programmer and work for a company in stealth mode with two active compounds

Job Description

Our client is looking for an AD Statistical Programming to lead programming activities for clinical trials. This role involves hands-on statistical analysis using SAS/R, quality review of deliverables, and collaboration with Biostatistics and Clinical Data Management to ensure high-quality data. The AD will also contribute to SOP development, programming standards, and the Statistical Computing Environment (SCE) platform.

Key Responsibilities

  • Lead programming efforts for clinical trials, ensuring timely and high-quality deliverables.
  • Oversee the development and validation of SDTM, ADaM, and TLFs for regulatory submissions, publications, and ad-hoc analyses.
  • Review SAPs, Data Presentation Plans, and Table Shells to ensure alignment with study objectives.
  • Manage CROs and contractors, ensuring compliance with timelines, quality standards, and budgets.
  • Collaborate with Biostatistics, Data Management, and Clinical teams to support study design and data accuracy.
  • Develop global programming tools (e.g., macros, automation) to optimize efficiency.
  • Assist in building the SCE platform, including structuring and access control.

Leadership & Strategy

  • Implement innovative programming strategies and technologies.
  • Establish and maintain programming standards and best practices.
  • Identify risks and develop mitigation strategies to enhance programming capabilities.
  • Mentor and manage junior programmers, providing guidance and performance feedback.
  • Support hiring and team expansion efforts.

Qualifications

  • Master’s degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related field.
  • 8+ years of statistical programming experience in pharma, biotech, or CRO environments.
  • Expertise in SAS programming, CDISC standards (SDTM, ADaM), and regulatory submissions.
  • Strong understanding of drug development, statistical methodologies, and regulatory guidelines.
  • Experience managing outsourced programming activities.
  • Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
  • Regulatory audit experience (FDA, EMA, etc.) is a plus.

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