Senior Statistical Programmer - Remote (Home-Based)

Parexel; Polska; Remote; PLN 200,000 - 260,000; Full time

Job summary

Parexel is seeking a Senior Statistical Programmer to join our team in Poland, Hungary or Serbia. You will provide expert SAS programming support for clinical studies, developing analysis datasets and outputs, and guiding standards and strategies.

The role emphasizes collaboration, quality, and regulatory compliance. Ideal candidates have a statistics/biostatistics background, SAS proficiency, and several years of pharmaceutical programming experience.

Qualifications

• Bachelor’s degree in statistics, biostatistics, mathematics, computer science or life sciences.
• Proficiency in SAS.
• Several years of clinical/pharmaceutical programming experience.
• In-depth understanding of CDISC standards and data structures.
• Demonstrated ability to produce ADaM/SDTM outputs.
• Comfortable working in a team and guiding others when needed.

Responsibilities

• Create SAS programs to generate derived analysis datasets and content for tables, listings, and figures; validate programming outputs.
• Provide programming support for project teams, including strategies, standards, and specifications.
• Support electronic submission preparation and review.
• Review planning documents to align with objectives and clarify programming requirements.
• Interact with vendors regarding standards, conventions, and file transfers.
• Lead programming assignments with minimal supervision and ensure quality.
• Support initiatives to improve efficiency and consistency.

Skills

SAS

Statistical programming

Analytical programming

Relational databases

CDISC standards

Education

Bachelor's degree

Tools

MS Office

XML

Pinnacle 21

Job description

Parexel is seeking a Senior Statistical Programmer to join our team in Poland, Hungary or Serbia. You will provide expert SAS programming support for clinical studies, developing analysis datasets and outputs, and guiding standards and strategies.

The role emphasizes collaboration, quality, and regulatory compliance. Ideal candidates have a statistics/biostatistics background, SAS proficiency, and several years of pharmaceutical programming experience.