Senior R & SAS Statistical Programmer - Remote

Warman O'Brien; Poland; On-site; PLN 216,000 - 324,000; Full time

Benefits offered by this job

Health insurance

Well-being support

Generous annual leave

Flexible home-based working

Country-specific benefits

Job summary

Global CRO seeks an experienced R Programmer to join its statistical programming team on a permanent, home-based basis. You’ll primarily work with SAS, with growing R usage, across the full study lifecycle from start-up to regulatory deliverables.

You will collaborate with biostatisticians and cross-functional teams to produce TLFs, support QC, and drive efficiencies, including expanding R adoption in a sponsor-dedicated environment.

Qualifications

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field.
• At least 4 years of statistical programming experience in a CRO or pharmaceutical environment.
• Strong experience in SAS programming.
• Working knowledge of R programming (or willingness to develop further).
• Good understanding of clinical trial processes and regulatory requirements.
• Strong attention to detail and problem‑solving skills.
• Ability to work independently while contributing effectively to a team.
• Good communication skills and experience working in a collaborative environment.

Responsibilities

• Develop and validate statistical programs (SAS, with growing R).
• Produce high-quality TLFs and contribute to regulatory submissions.
• Collaborate with biostatisticians and cross-functional teams.
• Support QC activities and drive process efficiencies, including R adoption.

Skills

Attention to detail

Problem solving

Communication skills

Team collaboration

Independent work

Regulatory understanding

Education

Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or related field

Tools

SAS

R

Job description

Global CRO seeks an experienced R Programmer to join its statistical programming team on a permanent, home-based basis. You’ll primarily work with SAS, with growing R usage, across the full study lifecycle from start-up to regulatory deliverables.

You will collaborate with biostatisticians and cross-functional teams to produce TLFs, support QC, and drive efficiencies, including expanding R adoption in a sponsor-dedicated environment.