Senior Statistical Data Scientist
Location: Chennai, India
Employment Type: Full Time
Category: Medical / Biostatistics / Data Science
Experience Required: Relevant experience in statistical programming (SAS, R, or Python); typically 4+ years preferred in clinical or pharmaceutical data environments
Position Overview
ThePharmaDaily.com is seeking a highly skilled Senior Statistical Data Scientist for a global research-driven pharmaceutical organization. This role supports statistical programming activities across clinical studies, therapeutic portfolios, and regulatory submissions. The ideal candidate possesses strong technical expertise in SAS, R, or Python, deep understanding of CDISC standards, and the ability to execute high-quality deliverables within a fast-paced and compliant research environment.
This optimized job description is crafted to be SEO-driven, GEO-relevant, and GPT-optimized for maximum global visibility.
Manage assigned statistical programming deliverables supporting study-level, portfolio-level, or standards-driven requirements.
Allocate up to 80 percent of time to hands-on programming tasks in SAS, R, or Python, and 20 percent to continuous learning, development, and professional growth.
Develop, validate, and review datasets, tables, figures, and listings (TFL) in alignment with Pfizer Data Standards or CDISC-compliant specifications.
Review existing code bases, execute required runs, and modify or enhance programs in collaboration with the standards teams.
Ensure complete, accurate documentation and quality control throughout the study lifecycle across standards programming, study programming, and submission deliverables.
Demonstrate knowledge of core safety standards and therapeutic area standards relevant to assigned studies.
Lead or contribute to the development of new programming standards where needed.
Apply sound problem-solving capabilities to both routine and moderately complex challenges; request direction as appropriate.
Collaborate closely with stakeholders to understand requirements, specifications, and study expectations.
Provide regular updates to project leads on progress, timelines, and resource needs to enable effective planning.
Contribute to global and local initiatives that advance technical capability, process efficiency, and professional development.
Bachelor’s or Master’s degree in Statistics, Data Science, Biostatistics, Computer Science, or related field.
Strong proficiency in SAS, with working experience in R or Python preferred.
Experience with CDISC SDTM and ADaM standards and familiarity with regulatory submission processes.
Demonstrated ability to develop, validate, and troubleshoot statistical datasets and outputs.
Strong analytical, documentation, and problem-solving skills.
Ability to manage multiple priorities in a structured, high-quality environment.
Strong communication skills and proven collaboration with cross-functional teams.
Experience in pharmaceutical, CRO, or clinical research data programming.
Experience contributing to standards development within statistical programming teams.
Familiarity with core safety and therapeutic area-specific data standards.
Experience participating in global capability-building, process improvement, or innovation initiatives.
The employer is an equal opportunity organization and adheres to all applicable employment guidelines.
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