Statistical Data Scientist Position Available In Durham, North Carolina
Tallo's Job Summary: Princeps Technologies in Durham, North Carolina is hiring a Statistical Data Scientist with 6+ years of experience to develop and validate statistical models for clinical trial data analysis. This role involves utilizing SAS Viya and R for advanced analytics and compliance with CDISC standards. The position offers a competitive salary, benefits, and room for career advancement.
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.
