Lead Statistical Programmer (SAS + AI Enablement)

Contact: Neisha Camacho/Terra Parsons -

teamnt@penfieldsearch.com

The role is approximately 50% traditional biometrics programming and 50% AI-driven workflow development, making it ideal for candidates who combine strong SAS expertise with genuine curiosity and hands-on experience leveraging AI in clinical programming environments.

This is not a heads-down SAS-only role. They are looking for someone who communicates well, takes ownership, and can help scale AI initiatives across the organization.

Key Responsibilities

Clinical Programming (50%)

• Develop clinical datasets and generate Tables, Listings, and Figures (TLFs)
• Perform QC and validation of statistical outputs
• Support biometrics deliverables aligned with regulatory standards
• Partner closely with biostatistics and medical affairs (including publications support)
• Contribute to programming documentation and project timelines

AI Working Group Contributions (50%)

• Actively use ChatGPT (Enterprise preferred) to enhance programming efficiency
• Apply advanced prompting techniques to refine AI-generated outputs
• Support AI-driven workflows for:
  • QC automation
  • Table generation
  • Coding assistance (SAS/R/Python)
• Collaborate on proof-of-concept initiatives and internal AI tools
• Help evolve and scale AI adoption across biometrics

Required Qualifications

Technical

• Strong SAS programming experience within clinical trials
• Hands-on experience with dataset development and TLF production
• Solid understanding of regulatory/statistical outputs
• QC programming experience
• Exposure to biostatistics concepts and clinical data standards

AI / Innovation (Required – not optional)

• Practical experience using ChatGPT in a professional setting (Enterprise preferred)
• Strong prompting skills (ability to iterate and refine outputs)
• Demonstrated interest in AI workflow integration
• Python exposure is a plus
• Experience exploring AI agents is a strong plus

Soft Skills (Critical Success Factors)

Must demonstrate:

• Clear communication in group settings
• Proactive project ownership and follow-through
• Strong status reporting and stakeholder updates
• Accountability and independent workload management
• Confidence contributing in collaborative environments

Technical Environment

• SAS (primary)
• Some R for graphics (not a major focus)
• Increasing use of LLM-assisted SAS/R generation

Nice-to-Haves

• AI agent experience
• Real-world data exposure
• Strategic curiosity around AI applications
• Comfort operating in evolving workflows