Unknown Company

Statistical Programming

remote • Posted 1 weeks ago
Onsite Full Time Biotechnology Research

About the Role:

We are seeking multiple Statistical Programming to join our team supporting clinical trial activities for a global pharmaceutical client. The successful candidate will lead and execute statistical programming deliverables for study conduct and regulatory submissions in compliance with CDISC and regulatory guidelines.

Key Responsibilities:

  • Serve as the statistical programmer across multiple clinical studies.
  • Develop and validate SAS programs for SDTM and ADaM datasets according to CDISC standards.
  • Generate tables, listings, and figures (TLFs) for clinical study reports and regulatory filings.
  • Contribute to data package readiness and submission support, including define.xml and reviewer guides.
  • Maintain and enhance macro libraries and utilities to support efficient and consistent programming.
  • Collaborate closely with biostatisticians, and data managers to ensure high-quality deliverables.
  • Ensure compliance with SOPs, data standards, and regulatory requirements.

Minimum Qualifications:

  • Bachelor’s or Master’s degree in statistics, computer science, life sciences, or a related field.
  • Minimum 2-10 years of statistical programming experience in the pharmaceutical, biotech, or CRO industry.
  • Expert-level proficiency in SAS, including macro development and debugging.
  • Strong experience with SDTM and ADaM dataset creation and validation.
  • Demonstrated experience in generating clinical TLFs and supporting submission deliverables.
  • Excellent communication, organizational, and problem-solving skills.
  • Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

  • Prior experience with regulatory submissions (e.g., eCTD).
  • Familiarity with Pinnacle 21, define.xml, and related tools.


Statistical Programming in remote at Unknown Company

This position is listed as full time and onsite.

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