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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 Hybrid 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: 4943814

Position Overview

Pfizer Research & Development continues to advance global healthcare by delivering innovative therapies supported by robust scientific data. The Senior Associate, Senior Statistical Data Scientist will serve as an individual contributor responsible for medium- to high-complexity statistical programming deliverables across studies, projects, portfolios, and global standards initiatives.

This role is ideal for experienced statistical programmers who excel in SAS, R, or Python and can independently manage study-level programming tasks while collaborating with multidisciplinary teams across multiple time zones.


Key Responsibilities

Statistical Programming & Data Delivery

  • Contribute up to 80 percent of working time to hands-on programming in SAS, R, or Python to support study, project, and portfolio-level deliverables.

  • Review, develop, and validate datasets and TFL outputs in alignment with CDISC standards and Pfizer data requirements.

  • Execute and enhance existing codebases while implementing updates based on project specifications or standards team recommendations.

  • Maintain comprehensive documentation and quality control throughout the lifecycle of all programming deliverables, ensuring compliance and audit readiness.

Collaboration & Stakeholder Engagement

  • Work closely with clinicians, statisticians, and study teams to meet milestones, clarify requirements, and ensure on-time delivery.

  • Independently manage programming activities, ensuring high-quality outputs and timely execution.

  • Communicate progress updates, challenges, and timelines regularly to team leads to support effective operational planning.

Standards, Compliance & Continuous Improvement

  • Develop a strong understanding of standard, study, project, and portfolio specifications to meet programming expectations accurately.

  • Contribute to the development of safety and therapeutic area standards while ensuring adherence to global data standards.

  • Participate in both local and global SDSA (Statistical Data Science and Analytics) initiatives.

  • Demonstrate strong problem-solving skills for routine and moderately complex programming tasks.

Learning & Development

  • Dedicate up to 20 percent of working time to self-learning, skill development, and knowledge enhancement in statistical programming and evolving data standards.

  • Actively participate in training opportunities and contribute to capability-building initiatives across the team.


Required Qualifications (Experience Must Be Included)

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

  • Minimum 3–5 years of professional experience in statistical programming within the pharmaceutical industry, clinical research, biotech, or CRO environment.

  • Proficiency in SAS (primary), with additional experience in R or Python strongly preferred.

  • Strong working knowledge of CDISC SDTM and ADaM standards and clinical data structures.

  • Experience independently executing and validating statistical programming deliverables.

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

  • Proven ability to collaborate effectively with global, cross-functional teams.


Preferred Qualifications

  • Experience supporting large-scale or complex clinical trials and therapeutic area portfolios.

  • Familiarity with safety data standards and therapeutic area-specific standards.

  • Exposure to hybrid work environments and global programming teams.

  • Ability to contribute to continuous improvement and standards development initiatives.


Work Location

Hybrid – Chennai, India

 


Equal Opportunity Statement

Pfizer is an equal opportunity employer and adheres to all applicable employment legislation across global jurisdictions. All qualified applicants are encouraged to apply.