Clinical Trials Statistical Programmer (SAS/ADaM)

Kelly Science, Engineering, Technology & Telecom; Poland; On-site; PLN 140,000 - 210,000; Full time

Job summary

Kelly is seeking a Statistical Programmer to support clinical trial data analysis and regulatory submissions in pharma. You will program, validate, and document datasets and outputs to ensure accuracy and compliance with industry standards.

In this evergreen pipeline role, you will develop SAS and/or R programs, create SDTM/ADaM datasets, and generate TFLs for study reports while collaborating with statisticians, data managers, and clinical teams. Strong regulatory knowledge is essential.

Qualifications

• Bachelor’s or Master’s degree in Statistics, Mathematics, CS or Life Sciences.
• Proficiency in SAS programming (Base, Macro, SQL).
• Solid understanding of clinical trial data structure and regulatory requirements.
• Experience with SDTM and ADaM datasets.
• Familiarity with CDISC standards.
• Strong written and verbal communication.

Responsibilities

• Develop, test, and validate SAS and/or R programs for clinical data processing and analysis.
• Create, maintain, and document datasets (SDTM, ADaM) per regulatory and company requirements.
• Generate tables, figures, and listings (TFLs) for clinical study reports.
• Collaborate with statisticians, data managers, and clinical teams to ensure data quality and integrity.
• Participate in the review of statistical analysis plans, CRF, and other study-related documents.
• Maintain strict adherence to GCP, FDA, EMA, and ICH guidelines.
• Contribute to data submission packages and regulatory interactions.
• Manage timelines and workload to ensure project milestones are met.

Skills

SAS programming

Base SAS

Macro SAS

SQL

CDISC standards

Clinical data

Education

Bachelor’s or Master’s in Statistics/Math/CS/Life Sciences

Tools

R

Python

Job description

Kelly is seeking a Statistical Programmer to support clinical trial data analysis and regulatory submissions in pharma. You will program, validate, and document datasets and outputs to ensure accuracy and compliance with industry standards.

In this evergreen pipeline role, you will develop SAS and/or R programs, create SDTM/ADaM datasets, and generate TFLs for study reports while collaborating with statisticians, data managers, and clinical teams. Strong regulatory knowledge is essential.