Senior Statistical Programmer - Lead Data & Analysis

Syneos Health; Indiana (PA); On-site; USD 120,000 - 170,000; Full time

Job summary

Syneos Health is seeking a Sr Statistical Programmer to contribute to drug development projects within our Clinical Solutions team. The role focuses on delivering high-quality statistical programming outputs and leading programming activities across multiple studies.

Responsibilities include developing tables, listings, and figures per SAP, maintaining documentation, and mentoring junior programmers while collaborating with biostatisticians and project teams.

Qualifications

• Undergraduate degree in a scientific or statistical discipline or equivalent combination of education and programming experience.
• Extensive SAS programming experience in a clinical trial environment.
• Excellent written and verbal communication skills.
• Ability to read, write, speak and understand English.

Responsibilities

• Develops programs to generate summary tables, data listings, graphs and derived datasets as specified in the SAP and programming specifications using SAS.
• Ensures outputs meet quality standards and project requirements; performs validation programming and coordinates with other team members to resolve discrepancies.
• Maintains organized, up-to-date project documentation and QC/verification materials for inspection readiness.
• Leads programming activities, mentors junior staff, and manages scheduling across multiple projects while adapting to timelines and priorities.

Skills

Statistical programming

Communication

English proficiency

Education

Undergraduate degree in scientific or statistical discipline

Tools

SAS

Job description

Syneos Health is seeking a Sr Statistical Programmer to contribute to drug development projects within our Clinical Solutions team. The role focuses on delivering high-quality statistical programming outputs and leading programming activities across multiple studies.

Responsibilities include developing tables, listings, and figures per SAP, maintaining documentation, and mentoring junior programmers while collaborating with biostatisticians and project teams.