Job Description
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.
Job Tags