Unlock the Power of Data in Clinical Research!

Are you passionate about transforming complex data into actionable insights? Join Parexel as an Analytical Data Science Programmer Consultant / Statistical Programmer II and play a pivotal role in advancing drug development. In this dynamic position, you’ll collaborate with industry experts to create high-quality, traceable programming deliverables—ranging from statistical outputs to interactive dashboards—while ensuring compliance with global standards.

Bring your expertise in SAS, R, and CDISC standards to a team that values innovation, precision, and scientific impact. If you thrive in a fast-paced environment and want to make a difference in oncology research, this is your opportunity to shine!

Ready to elevate your career? Apply today and help shape the future of clinical data science.

The Analytical Data Science Programmer Consultants support Project Lead ADS for transforming statistical analysis plans into high-quality, traceable programming deliverables. This includes both static and dynamic outputs, such as tables, listings, figures, and interactive data visualizations or dashboards. The role involves creating and validating datasets in accordance with Study Data Tabulation Model and Analysis Data Model standards, ensuring compliance with client standards. 

Job Description

Responsibilities:

• Work with Project Lead ADS to develop, validate, and maintain datasets and statistical outputs for clinical trials, including Study Data Tabulation Model (SDTM) datasets, Analysis Data Model (ADaM) datasets, and tables, listings, and figures (TLFs), ensuring programming accuracy, traceability, and compliance with internal processes and regulatory expectations

• Develop and support programming outputs across a wide range of data types, including exploratory biomarker data and real-world data

• Collaborate on Exploratory Data Analyses (EDAs), enabling insight generation to inform drug development strategies and enhance scientific communication 

Qualifications:

• Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field 
• A minimum of 3 years of experience in statistical programming in a clinical development setting supporting Oncology trials/research, or an advanced degree with 1-3 years of equivalent work experience 
• Proficient in and have recent working knowledge of SAS and R  
• Basic understanding of statistical quality, endpoints, and QC processes 
• Experience with Clinical Data Interchange Standards Consortium (CDISC) standards (e.g., SDTM and ADaM) 
• Demonstrated ability to deliver programming outputs independently 
• Fluent in English 
  

Preferred Qualifications:

• Demonstrate critical thinking, strong organizational and problem-solving skills 
• Effective communication skills with the ability to translate complex statistical concepts for non-statistical audiences 
• Experience with drug development (early and/or late stage) 
• Oncology experience is highly desired
• Excellent communication skills, including the ability to influence and translate complex data for non-technical stakeholders