Welcome Back

Google icon Sign in with Google
OR
I agree to abide by Pharmadaily Terms of Service and its Privacy Policy

Create Account

Google icon Sign up with Google
OR
By signing up, you agree to our Terms of Service and Privacy Policy
Instagram
youtube
Facebook

Senior Statistical Data Scientist

Pfizer
3+ years
INR 12 LPA – 22 LPA
Chennai, India
1 July 2, 2026
Job Description
Job Type: Hybrid Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences Skills: Clinical Trials, Detail-Oriented, Drug Development, Lifesciences, Negotiation Skills, Regulatory Compliance

Senior Statistical Data Scientist

Company: Pfizer
Location: Chennai, India (Hybrid/Flexible)
Department: Medical / Biometrics / Statistical Programming
Job Type: Full-Time
Experience: 3+ Years


JOB OVERVIEW

The Senior Statistical Data Scientist is responsible for developing high-quality statistical programming deliverables that support clinical trials, regulatory submissions, and clinical study reports. The role involves programming analysis-ready datasets, generating tables, listings, and figures (TLFs), ensuring compliance with regulatory standards, maintaining programming quality, collaborating with statisticians, and supporting study teams throughout the clinical development lifecycle.


KEY RESPONSIBILITIES

Statistical Programming

  • Develop and maintain SAS programs for clinical studies.

  • Generate analysis-ready datasets.

  • Program Tables, Listings, and Figures (TLFs).

  • Support statistical analyses for clinical trials.

  • Deliver programming outputs within project timelines.

Clinical Data Programming

  • Create SDTM and ADaM datasets.

  • Transform raw clinical data into analysis datasets.

  • Validate programmed datasets.

  • Ensure consistency across clinical data deliverables.

  • Support integrated analyses across studies.

Analysis & Reporting

  • Produce outputs for Clinical Study Reports (CSRs).

  • Generate statistical reports and summaries.

  • Support regulatory submission deliverables.

  • Prepare asset-level programming outputs.

  • Maintain programming documentation.

Quality Control

  • Perform programming quality checks.

  • Conduct validation and QC of datasets and TLFs.

  • Review programming deliverables for accuracy.

  • Ensure compliance with internal programming standards.

  • Maintain audit-ready documentation.

Clinical Trial Support

  • Collaborate with statisticians and programming leads.

  • Interpret statistical analysis specifications.

  • Support study startup, conduct, and closeout activities.

  • Resolve programming issues during study execution.

Regulatory Compliance

  • Follow ICH guidelines.

  • Ensure compliance with regulatory standards.

  • Apply clinical data standards.

  • Maintain regulatory documentation.

  • Support inspection readiness.

Standards & Documentation

  • Follow therapeutic area (TA) standards.

  • Contribute to programming standards development.

  • Maintain programming specifications.

  • Document programming methodologies.

  • Ensure version control of deliverables.

Problem Solving

  • Troubleshoot programming issues.

  • Resolve data inconsistencies.

  • Optimize programming efficiency.

  • Support process improvements.

  • Escalate complex issues when necessary.

Cross-Functional Collaboration

  • Work closely with Biostatisticians.

  • Collaborate with Clinical Data Management teams.

  • Coordinate with Statistical Programming Leads.

  • Support multidisciplinary project teams.

Continuous Improvement

  • Participate in departmental initiatives.

  • Improve programming workflows.

  • Share programming best practices.

  • Support innovation and automation efforts.


EDUCATIONAL QUALIFICATIONS

Required

  • Bachelor's Degree in:

    • Statistics

    • Biological Sciences

    • Information Technology

    • Computer Science

    • Mathematics

    • Related Discipline

Preferred

  • Master's Degree in Statistics or related field.


EXPERIENCE REQUIREMENTS

Required

  • Minimum 3 years of experience in:

    • Statistical Programming

    • Clinical Trials

    • Pharmaceutical Industry

    • Biotechnology

    • CRO

    • Regulatory Agency