Mid-Senior Statistical Programmer

NoyMed CRO

Poland

On-site

PLN 180,000 - 280,000

Full time

3 days ago
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Job summary

NoyMed CRO is seeking a Mid-Senior Statistical Programmer to deliver SAS-driven programming for clinical trials, including SDTM/ADaM, TLGs, and SAP compliance. The role emphasizes clear communication, problem solving, and collaboration with project statisticians and clients.

Candidates will mentor junior programmers, manage timelines, and ensure data quality. A bachelor's in CS/Math/Statistics and 3+ years of experience with SAS required; knowledge of R/SQL a plus; English proficiency needed.

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
  • 3+ years of relevant work experience in statistical programming for clinical research.
  • SAS programming language experience is required (SAS Certification preferred).
  • Proficiency in R, SQL, or other programming tools is preferred.
  • Prior leading role experience, managing project timelines, or mentoring team members is a plus.
  • Professional English skills, both written and spoken; knowledge of additional languages is a plus.
  • Applied knowledge of CDISC standards (SDTM, ADaM).
  • Attention to detail and ability to manage multiple tasks, prioritize workload, and work independently.

Responsibilities

  • Conduct work consistent with GCP, ICH, 21 CFR Part 11, internal SOPs, and international regulatory requirements.
  • Develop and validate specifications, algorithms, and programs for SDTM and ADaM datasets following CDISC implementation guides and SAP.
  • Create, upgrade, and validate programs to produce Tables, Listings, and Graphs (TLGs), maintaining data accuracy, traceability, and reproducibility.
  • Build SAS macros to automate and standardize routine data workflows.
  • Lead statistical programming activities, oversee project plans, track daily status and timelines, monitor budgets, and communicate directly with clients and project statisticians when assigned.
  • Serve as mentors and guides for junior programmers.

Skills

SAS programming
Communication skills
Problem solving
Project leadership
Mentoring

Education

Bachelor's degree in Computer Science or related field

Tools

R
SQL

Job description

NoyMed CRO is hiring Mid-Senior Statistical Programmers to join our team. In these roles, you will deliver statistical programming solutions for clinical trials. We are looking for programmers with clear communication skills and practical problem-solving abilities to contribute to our clinical research projects.

Key Responsibilities
  • Conduct work consistent with GCP, ICH, 21 CFR Part 11, internal SOPs, and international regulatory requirements.
  • Develop and validate specifications, algorithms, and programs for SDTM and ADaM datasets following CDISC implementation guides and Statistical Analysis Plans (SAP).
  • Create, upgrade, and validate programs to produce Tables, Listings, and Graphs (TLGs), maintaining data accuracy, traceability, and reproducibility.
  • Build SAS macros to automate and standardize routine data workflows.
  • Lead statistical programming activities, oversee project plans, track daily status and timelines, monitor budgets, and communicate directly with clients and project statisticians (when assigned).
  • Serve as mentors and guides for junior programmers.
Qualifications
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
  • 3+ years of relevant work experience in statistical programming for clinical research.
  • SAS programming language experience is required (SAS Certification preferred).
  • Proficiency in R, SQL, or other programming tools is preferred.
  • Prior experience in a leading role, managing project timelines, or mentoring team members is a plus.
  • Professional English skills, both written and spoken; knowledge of additional languages is a plus.
  • Applied knowledge of data collection, data flow, extraction, and CDISC standards (SDTM, ADaM).
  • Practical understanding of research processes, clinical operations, and data quality management.
  • Attention to detail and the ability to manage multiple tasks, prioritize workload, and work independently.

Please note that only shortlisted candidates will be contacted for the interview.

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