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

Associate Director, Biostatistical Programming

Amgen
16+ years
INR 80 LPA – 120 LPA
Hyderabad
1 June 15, 2026
Job Description
Job Type: Full Time Education: M.Pharm/B.Pharm or M.Sc. Skills: Clinical SAS Programming, Clinical Trials, Detail-Oriented, Drug Development, Lifesciences, Negotiation Skills, Regulatory Compliance, Communication Skills, CPC Certified, Data Analysis, Document Management, Life Science, Regulatory Compliance, Waterfall Model, GCP guidelines

Associate Director – Biostatistical Programming

Location: Hyderabad, India
Company: Amgen
Department: Global Statistical Programming (GSP)
Employment Type: Full-Time | On-Site

Job Summary

Amgen is seeking an experienced and strategic Associate Director – Biostatistical Programming (Programming Execution Lead) to provide leadership for Global Statistical Programming execution across high-priority clinical development programs and regulatory submissions.

This role partners closely with Global Programming Leads (GPLs) and oversees a large offshore statistical programming organization consisting of Study Lead Programmers (SLPs) and Statistical Programmers (SPs). The Associate Director is accountable for the successful execution, quality, compliance, and delivery of programming activities supporting clinical studies, milestone analyses, and global regulatory submissions.

In addition to operational leadership, the role will drive innovation through the implementation of artificial intelligence (AI), automation platforms, open-source technologies, and advanced programming solutions to enhance efficiency, scalability, and quality across the global programming organization.


Key Responsibilities

Strategic Programming Leadership

  • Lead end-to-end statistical programming execution for large, high-priority products, therapeutic areas, and global development programs.

  • Partner with Global Programming Leads (GPLs) to establish and execute programming strategies across assigned products.

  • Ensure successful delivery of milestone analyses, integrated summaries, and regulatory submission packages.

  • Drive consistency and quality across studies, indications, and product portfolios.

Global Regulatory Submission Oversight

  • Provide leadership for programming activities supporting:

    • NDA Submissions

    • BLA Submissions

    • MAA Submissions

    • Global Health Authority Filings

  • Ensure submission-ready datasets, analyses, and documentation comply with global regulatory requirements.

  • Oversee integrated analyses involving multiple studies and development programs.

Operational Excellence & Delivery Management

  • Accountable for project planning, execution, risk management, and delivery oversight.

  • Monitor project progress and proactively resolve operational challenges.

  • Establish delivery metrics and performance indicators to drive operational excellence.

  • Ensure adherence to timelines, quality standards, SOPs, and compliance requirements.

People Leadership & Talent Development

  • Lead and manage a large offshore statistical programming team.

  • Develop organizational capabilities through mentoring, coaching, and succession planning.

  • Support career development planning for direct reports and project team members.

  • Foster a culture of accountability, innovation, collaboration, and continuous improvement.

Resource & Budget Management

  • Partner with GPLs to develop product-level resource strategies.

  • Forecast staffing requirements and optimize resource allocation across projects.

  • Contribute to budget planning and operational resource management.

  • Monitor utilization and productivity across programming teams.

Technology Innovation & Digital Transformation

  • Lead the adoption and integration of:

    • Artificial Intelligence (AI)

    • Statistical Programming Automation

    • Open-Source Technologies

    • Digital Delivery Platforms

    • Advanced Analytics Solutions

  • Drive modernization initiatives that improve efficiency, quality, and scalability.

  • Evaluate emerging technologies and identify opportunities for implementation across Global Statistical Programming.

Standards, Governance & Compliance

  • Develop, review, and implement:

    • Policies

    • Standard Operating Procedures (SOPs)

    • Controlled Documentation

    • Programming Standards

  • Ensure compliance with:

    • CDISC Standards

    • Regulatory Requirements

    • Internal Quality Frameworks

  • Represent Global Statistical Programming during inspections, audits, and regulatory assessments.

Cross-Functional Leadership

  • Collaborate with:

    • Biostatistics

    • Clinical Development

    • Data Management

    • Regulatory Affairs

    • Medical Writing

    • Clinical Operations

    • Quality & Compliance Teams

  • Participate in enterprise-wide working groups and strategic initiatives.

  • Serve as a key stakeholder in cross-functional governance forums.

Technical Leadership

  • Provide expert-level guidance on:

    • Statistical Programming Methodologies

    • Clinical Trial Data Standards

    • Submission Strategies

    • Data Quality & Compliance

  • Support complex programming challenges and critical project deliverables.

  • Establish best practices for global statistical programming execution.


Required Qualifications

Education

  • Bachelor's Degree (BA/BSc) or higher in:

    • Statistics

    • Biostatistics

    • Mathematics

    • Computer Science

    • Data Science

    • Related Quantitative or Scientific Discipline

Experience

  • Minimum 16+ years of Statistical Programming experience within:

    • Pharmaceutical Industry

    • Biotechnology Industry

    • Clinical Research Organizations (CROs)

  • Extensive experience supporting global clinical development programs.

  • Proven leadership experience managing large statistical programming teams.

  • Demonstrated success leading complex global regulatory submissions.