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Senior Associate, Senior Statistical Data Scientist

4-7 years
Not Disclosed
10 Nov. 13, 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

Job Title: Senior Associate, Senior Statistical Data Scientist
Location: India – Chennai
Job Type: Full-time
Posted: 21 Days Ago
Job ID: 4944109
Function: Statistical Data Sciences & Analytics (SDSA)
Department: Pfizer Research & Development
Work Location Assignment: Hybrid


Job Summary

The Senior Associate, Senior Statistical Data Scientist is an individual contributor role responsible for delivering medium to highly complex statistical programming tasks to support Pfizer’s research assets, studies, and data standards. The role involves hands-on programming using SAS, R, or Python, collaboration with global teams, adherence to quality standards, and contribution to innovation and process optimization within Statistical Data Sciences & Analytics (SDSA).


Key Responsibilities

Statistical Programming and Data Analysis

  • Execute and validate datasets, tables, figures, and listings (TFLs) in alignment with CDISC and Pfizer Data Standards.

  • Support study, project, and portfolio-level deliverables, ensuring accuracy and compliance with Pfizer’s quality and documentation requirements.

  • Perform programming activities including code execution, development, modification, and validation as per study needs.

  • Collaborate with clinicians, statisticians, and cross-functional study teams to meet milestone timelines and deliverables.

  • Maintain high-quality programming practices and ensure all outputs comply with Pfizer’s standard operating procedures and data integrity policies.

Technical and Standards Development

  • Contribute to the development and review of programming standards, specifications, and templates at the study or therapeutic area (TA) level.

  • Leverage expertise in core safety and TA-specific standards to improve consistency and efficiency across projects.

  • Document and perform quality control (QC) checks across all deliverables throughout the study lifecycle.

Collaboration and Communication

  • Engage with global stakeholders across multiple time zones for planning, execution, and review of statistical programming activities.

  • Provide status updates, progress reports, and time estimates to project leads to ensure effective project management.

  • Support peers and teams by sharing knowledge and identifying opportunities for improvement in processes and workflows.

Continuous Learning and Innovation

  • Dedicate up to 20% of time to self-learning and professional development, enhancing technical and domain expertise.

  • Stay updated on advancements in statistical programming tools, data standards, and analytics technologies.

  • Contribute to global and local SDSA initiatives, promoting innovation and continuous process improvement.


Qualifications

Education

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

Experience

  • Typically 4–7 years of relevant experience in statistical programming within pharmaceutical, biotech, or CRO environments.

  • Hands-on experience with SAS, R, or Python for statistical programming and data analytics.

  • Working knowledge of CDISC standards (SDTM, ADaM) and familiarity with regulatory submissions is preferred.


Technical Skills

  • Proficiency in SAS, R, or Python programming.

  • Strong understanding of clinical trial data structures and statistical reporting.

  • Familiarity with data visualization, automation, and quality control processes.

  • Excellent documentation and data integrity management skills.


Soft Skills

  • Strong problem-solving and analytical thinking.

  • Effective communication and collaboration across global teams.

  • Ability to work independently with minimal supervision.

  • Proactive learner with a focus on continuous improvement.


Experience Level

  • Mid to Senior-level (4–7 years) with demonstrated capability to work independently on complex statistical programming projects.