20h ago

Principal Statistical Programmer

US

✨ $160k-$200k / yearest.

full-timelead Remotebiotech

πŸ›  Tech Stack

πŸ’Ό About This Role

You'll lead statistical programming projects for clinical trials and regulatory submissions, ensuring high-quality outputs that drive drug development decisions. You will oversee complex SAS programming, coordinate cross-functional teams, and mentor junior programmers in a remote, collaborative environment.

🎯 What You'll Do

  • Lead statistical programming project teams to deliver analysis datasets and outputs on time
  • Manage project resources, timelines, budgets, and study-level metrics across multiple initiatives
  • Collaborate with statisticians and clients to review analysis plans and implement requirements
  • Develop, review, and maintain analysis dataset specifications and complex SAS programs
  • Produce and validate statistical outputs including SDTM/ADaM datasets and regulatory documentation

πŸ“‹ Requirements

  • Bachelor's degree or equivalent in a relevant field
  • 10+ years of SAS programming experience, including at least 7 years in pharmaceutical or clinical research industry
  • Strong expertise in SAS/Base, SAS Macro programming, and CDISC standards (SDTM, ADaM)
  • Proven ability to lead programming teams and manage multiple concurrent projects
  • Experience with regulatory deliverables and technical documentation

✨ Nice to Have

  • Experience with DEFINE.xml and Reviewer's Guides
  • Familiarity with R or Python for statistical programming
  • Knowledge of real-world evidence generation

🎁 Benefits & Perks

  • πŸ–οΈ Fully remote work across the United States
  • πŸ’° Competitive salary with 401(k) company match
  • πŸ₯ Comprehensive medical, dental, vision insurance
  • πŸŽ“ Tuition reimbursement and career development opportunities
  • πŸ“… Flexible PTO and paid holidays

πŸ“¨ Hiring Process

Estimated timeline: 2-4 weeks Β· AI estimate

  1. 1Recruiter callΒ· 30 min
  2. 2Technical interviewΒ· 60 min
  3. 3Final interview with managementΒ· 60 min
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