Statistical Programmer II (FSP)

Statistical Programmer II (FSP)

PAREXEL

Remote, Romania

As a member of Parexel’s Statistical Programming group, you analyze, summarize, and graphically present clinical data to assess the safety and efficacy of the clinical trial. It requires attention to detail, a commitment to quality, and effective communication to ensure new treatments reach patients faster. You will work in different therapeutic areas assessing a variety of data entries and endpoints in an ever-changing environment. We provide a fertile environment for growth, with extensive training, mentoring, and technical knowledge sharing.

You will work closely with the client and Parexel teams and collaborate to maximize the collective strength. Experience a supportive and motivating work environment where our teams offer an inherent breadth of knowledge within a diverse and inclusive workplace.

Picture Yourself At Parexel:

The Statistical Programmer II provides technical expertise for the conduct of clinical trials and works with minimal supervision to support various programming activities related to the analysis and reporting of clinical study data. In addition, the Statistical Programmer II may fill the Statistical Programming Lead role (or part of that role) on small, non-complex projects.

What You'll Do At Parexel:

• Deliver best value and high-quality service working on client system and following client processes;
• Work closely with client teams and Parexel colleagues in global environment;
• Specialize in one of the following therapeutic area: hematology/oncology/cell therapy;
• Use SAS programming to produce derived datasets (ADaM), tables, figures, and data listings of varying complexity;
• Develop and QC derived dataset specifications and other process supporting documents;
• Ensure all work maintains complete traceability and regulatory compliance;
• Participate and contribute to knowledge-sharing sessions with programming community.

Requirements:

• Bachelor’s degree in statistics, biostatistics, mathematics, computer science or life sciences;
• Minimum 3 years of SAS programming experience in clinical research;
• Proficiency in SAS Base, SAS/STAT, SAS/GRAPH, and SAS macros;
• Strong understanding of CDISC standards;
• Knowledge of statistical terminology, clinical tests, and protocol designs;
• Excellent attention to detail with a focus on quality;
• Strong written and verbal English communication skills.