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Senior Associate, Senior Statistical Data Scientist

Pfizer
Pfizer
0-2 years
Not Disclosed
10 Nov. 5, 2025
Job Description
Job Type: Full Time Education: B.Sc/M.Sc/M.Pharma/B.Pharma/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: India – Chennai
Job Type: Full Time
Posted: 13 Days Ago
Job ID: 4944109
Department: Medical
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About Pfizer

At Pfizer, we’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place.

Our Purpose: Breakthroughs that change patients’ lives.
Our Values: Courage, Excellence, Equity, and Joy.
Pfizer Research & Development: The driving force behind Pfizer’s pioneering product pipeline, bringing life-changing medicines to patients worldwide.
Benefits: Pfizer offers competitive pay, benefits, and career growth opportunities to meet diverse colleague needs.


Position Summary

This Individual Contributor role involves hands-on programming to deliver statistical outputs for studies, projects, and portfolios of medium to high complexity. The role requires a balance of technical expertise, quality focus, and collaboration across global teams.

The Senior Statistical Data Scientist contributes to Pfizer’s clinical research success by developing, validating, and managing statistical programming deliverables in compliance with Pfizer standards and regulatory expectations.


Key Responsibilities

Programming & Deliverables

  • Accountable for assigned programming tasks supporting study or standards deliverables.

  • Contribute up to 80% of time to hands-on programming in SAS, R, or Python and 20% to continuous learning and professional development.

  • Develop, review, and validate datasets, tables, figures, and listings (TFLs) following CDISC-aligned Pfizer Standards.

  • Execute and modify existing codes as required, collaborating with standards teams to enhance code libraries.

  • Ensure documentation accuracy and perform Quality Control (QC) throughout the study lifecycle.

Technical & Quality Excellence

  • Maintain compliance with Pfizer’s programming standards and data integrity processes.

  • Ensure tasks are completed on time with high quality and adherence to global procedures.

  • Understand and implement study, project, and portfolio requirements, collaborating with cross-functional stakeholders (e.g., statisticians, clinicians).

  • Demonstrate strong problem-solving capabilities and provide solutions for routine and occasionally complex challenges.

Cross-functional Collaboration

  • Work closely with study teams and stakeholders across time zones to support milestone achievement.

  • Provide regular progress updates to project leads to ensure smooth coordination and resource planning.

  • Contribute to Statistical Data Sciences and Analytics (SDSA) initiatives globally and locally.

Continuous Learning & Development

  • Engage in self-learning to enhance statistical programming, data standards, and process knowledge.

  • Participate in global and local projects to advance technical and domain expertise.

  • Stay updated on emerging technologies, tools, and methodologies in statistical programming and data sciences.


Qualifications & Skills

Education

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

Experience

  • Relevant experience in statistical programming in the pharmaceutical, biotech, or CRO environment.

  • Hands-on experience with SAS, R, or Python for clinical data programming.

  • Familiarity with CDISC SDTM/ADaM standards and clinical study reporting.

  • Strong knowledge of data integrity, documentation, and quality assurance practices.

Technical & Behavioral Competencies

  • Excellent attention to detail and commitment to data quality.

  • Effective collaboration with cross-functional, global teams.

  • Strong analytical, problem-solving, and communication skills.

  • Demonstrated initiative in learning and innovation.


Work Environment

Work Location Assignment: Hybrid (Flexible mix of on-site and remote collaboration)

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction where it operates.

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