Head of Statistical Programming – Oncology (Global, AI-Enabled)

Orion Pharma; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Orion Pharma is seeking an experienced leader to establish and head the Statistical Programming function within Global Data Sciences in Oncology. The Head will define strategy, operating model, and standards, building a global organization delivering compliant programming for regulatory submissions and evidence generation.

The role partners with Biostatistics, Clinical Data Management, and Regulatory Affairs to ensure inspection-ready outputs and continuous innovation in automation and

Qualifications

• Master's degree or equivalent in Statistics, Biostatistics, Computer Science, Mathematics, Data Science, or related field.
• 15+ years of statistical programming experience in pharma/biotech, oncology preferred.
• Significant leadership experience managing global programming teams and submissions.
• Deep expertise in CDISC standards (SDTM/ADaM/define.xml) and regulatory expectations.
• SAS programming proficiency; familiarity with R, Python, and cloud analytics.

Responsibilities

• Lead and develop the Statistical Programming function, including organizational design and capability development.
• Define and execute vision, strategy, operating model, and roadmap aligned with Global Data Sciences.
• Provide oversight of programming across studies, ensuring submission-ready deliverables.

Skills

Leadership

Strategic thinking

Regulatory submission experience

CDISC SDTM/ADaM

SAS programming

R / Python / Cloud

Stakeholder management

Education

Master's degree in Statistics/Biostatistics/Data Science

Tools

SAS

R

Python

Cloud analytics platforms

Job description

Orion Pharma is seeking an experienced leader to establish and head the Statistical Programming function within Global Data Sciences in Oncology. The Head will define strategy, operating model, and standards, building a global organization delivering compliant programming for regulatory submissions and evidence generation.

The role partners with Biostatistics, Clinical Data Management, and Regulatory Affairs to ensure inspection-ready outputs and continuous innovation in automation and