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Senior Manager, Biostatistical Programming

Amgen
8-15 years
INR 50 LPA – 80 LPA
Hyderabad
1 June 18, 2026
Job Description
Job Type: Full Time Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences Skills: Clinical Trials, Detail-Oriented, Drug Development, Lifesciences, Negotiation Skills, Regulatory Compliance

Senior Manager – Biostatistical Programming (Programming Execution Lead)

Department: Global Statistical Programming (GSP)
Location: Hyderabad, India
Company: Amgen
Job ID: R-245754
Work Model: On-site
Experience: 8–15+ Years
Education: B.Sc./M.Sc./M.Tech./PhD in Statistics, Biostatistics, Mathematics, Computer Science, or related quantitative discipline


Role Summary

The Senior Manager – Biostatistical Programming serves as the Programming Execution Lead responsible for leading offshore statistical programming teams supporting global clinical development programs.

The role partners closely with the Global Programming Lead (GPL) to ensure successful execution of statistical programming deliverables, regulatory submissions, clinical trial analyses, and programming strategy implementation across one or multiple therapeutic areas.

This position combines technical leadership, people management, regulatory expertise, project oversight, and digital innovation to drive successful drug development outcomes.


Key Responsibilities

1. Global Statistical Programming Leadership

  • Lead and oversee end-to-end statistical programming activities across assigned products and studies.

  • Ensure timely delivery of:

    • Analysis Datasets (ADaM)

    • SDTM Datasets

    • Tables, Listings & Figures (TLFs)

    • Regulatory Submission Deliverables

    • Clinical Study Reporting Outputs

  • Partner with Global Programming Leads to align execution strategies.


2. Regulatory Submission Support

  • Lead programming activities supporting:

    • NDA Submissions

    • BLA Submissions

    • EMA Submissions

    • Global Regulatory Filings

  • Ensure compliance with regulatory requirements and submission standards.

  • Support audit and inspection readiness activities.


3. Study Execution & Portfolio Oversight

  • Monitor progress across multiple studies and product programs.

  • Manage timelines, risks, dependencies, and resource allocation.

  • Ensure high-quality deliverables are completed within agreed timelines.

  • Drive resolution of project-level issues and escalations.


4. Statistical Programming Strategy

  • Implement and maintain:

    • Programming standards

    • Functional standards

    • Data standards

    • Automation frameworks

  • Ensure consistency across programs and therapeutic areas.

  • Promote standardization and scalability across programming activities.


5. Team Leadership & People Management

  • Lead and develop teams of:

    • Study Lead Programmers (SLPs)

    • Statistical Programmers (SPs)

    • Offshore Programming Resources

  • Conduct performance reviews and career development planning.

  • Mentor and coach programming staff.

  • Build and strengthen high-performing programming teams.


6. Resource Planning & Budget Management

  • Contribute to:

    • Workforce planning

    • Resource forecasting

    • Budget planning

    • Capacity management

  • Optimize resource utilization across programs and projects.


7. Process Excellence & Continuous Improvement

  • Lead process improvement initiatives.

  • Participate in cross-functional working groups.

  • Develop and enhance:

    • SOPs

    • Policies

    • Controlled Documents

    • Best Practice Frameworks

  • Drive operational efficiency and quality improvements.


8. Digital Transformation & Innovation

  • Support adoption of:

    • SAS Automation

    • R Programming

    • Python-Based Analytics

    • AI-Assisted Programming

    • Advanced Data Visualization

  • Drive modernization of statistical programming processes.


9. Cross-Functional Collaboration

Collaborate closely with:

  • Biostatistics

  • Clinical Data Management

  • Clinical Operations

  • Medical Writing

  • Regulatory Affairs

  • Data Standards Teams

  • Global Clinical Development Teams

Ensure alignment of programming activities with study objectives and regulatory expectations.


Key Performance Indicators (KPIs)

  • Regulatory submission success

  • On-time delivery of programming milestones

  • Quality metrics and audit outcomes

  • Team productivity and engagement

  • Resource utilization efficiency

  • Process improvement contributions

  • Stakeholder satisfaction

  • Inspection readiness


Required Qualifications

Education

Mandatory

  • Bachelor's Degree in:

    • Statistics

    • Biostatistics

    • Mathematics

    • Computer Science

    • Related Quantitative Discipline

Preferred

  • MSc / M.Tech / PhD in Statistics, Biostatistics, Mathematics, or related field


Required Experience

  • Minimum 8+ years of Statistical Programming experience in Clinical Development.

  • Experience leading global programming teams.

  • Regulatory submission experience (NDA/BLA/EMA).

  • Experience managing multiple studies or product portfolios.

  • Prior people management and project leadership experience.