Job Title: Statistical Data Scientist

Location: Durham, North Carolina (Hybrid)

Experience: 6+ Years

About Us:

At Princeps Technologies, we are dedicated to providing innovative data solutions within the pharmaceutical and biotechnology industry. We are currently seeking a skilled Statistical Data Scientist to join our team and help build cutting-edge solutions to support clinical trial data analysis and regulatory submissions.

Key Responsibilities:

• Develop and validate statistical models and algorithms to analyse clinical trial data.
• Utilize SAS Viya for advanced analytics.
• Perform SAS programming to create and manage datasets, generate tables, listings, and figures (TLFs) in compliance with CDISC standards (SDTM and ADaM).
• Leverage R for statistical analysis and data visualization tasks.
• Utilize SAS Life Science Analytics Framework (LSAF) for managing clinical data, standardizing processes, and ensuring compliance in data analysis and reporting.
• Collaborate with cross-functional teams to understand and implement project-specific data needs.
• Ensure compliance with industry standards and regulatory requirements.
• Provide technical expertise and support for data analysis and reporting tasks.
• Perform quality control and validation of outputs to ensure accuracy and consistency.
• Contribute to process improvements and development of programming standards.
• Work closely with stakeholders to understand and review standard/study/project requirements, specifications, and programming needs.
• Possess knowledge in core safety standards and therapeutic area (TA) standards relevant to the project. Lead the development of standards necessary for the study.

Qualifications:

• Bachelor's or master's degree in Statistics, Mathematics, Computer Science, Life Sciences, or a related field.
• Minimum of 6 years of experience in statistical programming within the pharmaceutical or biotechnology industry.
• Proficient in SAS programming, including experience with SAS Viya.
• Experience with R programming for statistical analysis and visualization.
• Familiarity with SAS Life Science Analytics Framework (LSAF).
• Strong understanding of CDISC standards (SDTM and ADaM) and regulatory requirements.
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork abilities.

Why Join Us?

• Be part of an innovative team shaping the future of pharmaceutical data analytics.
• Competitive salary and benefits package.
• Opportunities for career growth and professional development.