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Senior Associate, Senior Statistical Data Scientist

3-5 years
Not Disclosed
10 Nov. 20, 2025
Job Description
Job Type: Full Time Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Senior Associate, Senior Statistical Data Scientist

Location: Chennai, India
Employment Type: Full-Time
Category: Statistical Programming, Data Science, Clinical Research
Job ID: 4944109

Role Overview

Pfizer Research & Development continues to advance breakthrough science and deliver transformative therapies worldwide. As a Senior Associate, Senior Statistical Data Scientist, you will be responsible for hands-on statistical programming and data analysis in support of clinical study teams, therapeutic area portfolios, and global standards initiatives. This individual contributor role is suited for experienced statistical programmers seeking to contribute to high-complexity deliverables within a regulated pharmaceutical environment.

The position requires strong programming expertise, a deep understanding of CDISC standards, and the ability to collaborate effectively with global stakeholders across time zones.


Key Responsibilities

Statistical Programming & Data Standards

  • Contribute up to 80 percent of working time to hands-on programming using SAS, R, or Python to deliver high-quality datasets, TLF outputs, and analysis deliverables aligned with CDISC and Pfizer data standards.

  • Review, develop, and validate datasets and outputs for studies, projects, therapeutic portfolios, and submission-ready packages.

  • Explore existing codebases, execute runs, and update or enhance programs based on evolving specifications and stakeholder feedback.

  • Ensure complete and accurate documentation, quality control, and compliance across all programming deliverables throughout the study lifecycle.

Project Execution & Collaboration

  • Independently manage study-level and standards-related programming activities of medium to high complexity.

  • Collaborate with clinical teams, statisticians, and cross-functional stakeholders across global time zones to align on expectations, milestones, and delivery timelines.

  • Provide updates to leadership regularly on progress, challenges, and estimated timelines for assigned tasks.

  • Demonstrate strong problem-solving skills for routine and advanced programming issues, seeking guidance when necessary.

Standards Development & Contribution

  • Understand, develop, and review requirements and specifications for standardization across therapeutic areas and study programs.

  • Contribute to the development or enhancement of safety and therapeutic area-specific programming standards.

  • Support global and local Statistical Data Science and Analytics (SDSA) initiatives.

Learning & Continuous Improvement

  • Dedicate approximately 20 percent of time to upskilling, including new programming techniques, emerging data standards, and innovative analytics approaches.

  • Participate in capability-building initiatives and contribute to process improvement activities at site and global levels.


Required Qualifications (Experience Must Be Included)

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative discipline.

  • Minimum 3–5 years of hands-on experience in statistical programming within the pharmaceutical, CRO, or clinical research environment.

  • Proficiency in SAS (primary), with working knowledge of R or Python highly preferred.

  • Strong understanding of CDISC SDTM and ADaM standards, clinical data structures, and regulatory submission requirements.

  • Ability to independently execute programming tasks, validate outputs, and produce high-quality deliverables within timelines.

  • Strong analytical thinking, attention to detail, and ability to troubleshoot programming and data issues.

  • Excellent communication and stakeholder management skills within cross-functional and cross-geographical settings.


Preferred Qualifications

  • Experience in developing or implementing therapeutic area or safety data standards.

  • Experience supporting global clinical studies or complex portfolio-level programming.

  • Familiarity with advanced analytics, automation tools, and modern programming methodologies.

  • Exposure to hybrid work environments and distributed global teams.


Work Location

Hybrid – Chennai, India


Equal Opportunity Statement

Pfizer is an equal opportunity employer and complies fully with applicable employment legislation across global jurisdictions. Applicants from all backgrounds are encouraged to apply.


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