🛠 Tech Stack

💼 About This Role

You'll lead statistical programming for clinical trials, driving submissions and cross-functional collaboration. Your core impact is developing and implementing CDISC-compliant programming standards and AI-driven automation for regulatory submissions. The role offers the chance to shape culture and processes in a fast-paced, growth-focused biotech environment.

🎯 What You'll Do

• Lead programming activities for assigned projects and studies, ensuring timely and high-quality deliverables.
• Manage and oversee CROs and external vendors to ensure quality and compliance.
• Develop and implement data review, reporting tools, and statistical applications.
• Mentor and develop programmers, fostering a high-performing team environment.

📋 Requirements

• Master's degree in Statistics, Biostatistics, or related field.
• 12–15 years of progressive clinical trial programming experience in biotech/pharma.
• Advanced SAS programming skills; R preferred.
• In-depth knowledge of CDISC standards (SDTM, ADaM) and controlled terminology.

✨ Nice to Have

• Experience with AI-driven tools or automation in clinical data analysis and regulatory submission processes.
• Familiarity with modern data platforms, cloud environments, or scalable analytics infrastructure.
• Experience in a small to mid-size biotech environment.

🎁 Benefits & Perks

• 🏖️ Three weeks PTO plus two company-wide shutdown weeks.
• 💰 Market competitive compensation with base salary, performance bonus, and equity grants.
• 🏥 Health, welfare, and retirement benefits.
• 🌱 Professional growth and access to development resources.
• 🤝 Regular in-person all-team meetings to build relationships.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Hiring Manager Interview· 60 min
3. 3Technical Interview· 60 min

🚩 Heads Up

• Requires 12-15 years but title suggests director level; may expect more than typical for Senior Director.
• Mentions travel up to 15% with mandatory in-person meetings; could impact remote work flexibility.