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Senior Manager, Biostatistical Programming

Amgen
8+ years
Not Disclosed
Hyderabad
1 June 3, 2026
Job Description
Job Type: Full Time Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences Skills: ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing

Senior Manager, Biostatistical Programming

Location: Hyderabad, India
Department: Research

Job Overview

The Senior Manager, Biostatistical Programming (Programming Execution Lead) will partner with the Global Programming Lead (GPL) and lead an offshore team of Study Lead Programmers (SLP) and Study Programmers (SP) to ensure successful execution of end-to-end programming activities across assigned products and therapeutic areas. This role is accountable for the delivery of statistical programming outputs, milestone analyses, and regulatory submission packages while supporting global programming strategies and operational excellence.

Key Responsibilities

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

  • Ensure successful execution and delivery of milestone analyses and regulatory submission deliverables.

  • Collaborate with the Global Programming Lead (GPL) to implement global programming strategies, standards, and industry requirements.

  • Plan, monitor, and manage project timelines, resources, and deliverables.

  • Support resource planning, budget management, and allocation of programming staff.

  • Optimize utilization of programming resources based on business priorities.

  • Lead and contribute to departmental process improvement initiatives and cross-functional projects.

  • Support internal and external audits, inspections, and compliance activities.

  • Develop, review, and implement policies, SOPs, and controlled documents related to Global Statistical Programming.

  • Provide hands-on programming support when required.

  • Coach, mentor, and develop programming staff.

  • Contribute to career development planning and performance management of team members.

  • Collaborate effectively with global and cross-functional stakeholders across multiple time zones.

Required Qualifications

  • Bachelor's degree or higher in Biostatistics, Statistics, Mathematics, Computer Science, or a related quantitative/scientific discipline.

  • Minimum 8 years of statistical programming experience in a clinical development environment.

  • Strong leadership, communication, and project management skills.

  • Experience leading programming teams and delivering study outputs from start to finish.

  • Experience building and managing offshore statistical programming teams.

  • Advanced expertise in SAS programming, including:

    • SAS/STAT

    • SAS Macro

    • SAS Graph

    • SAS SQL

  • Prior experience supporting regulatory submissions for drug approvals.

  • Strong understanding of data quality processes and compliance requirements.

  • Experience in software development lifecycle activities, including:

    • Requirements gathering

    • Technical specification development

    • Coding

    • Testing and validation

  • Experience working with globally distributed teams and cross-cultural stakeholders.

  • Strong written and verbal English communication skills.

Preferred Qualifications

  • Master's degree or higher in Statistics, Biostatistics, Mathematics, or a related field.

  • Experience with open-source programming languages and tools such as:

    • R

    • Python

  • Familiarity with automation platforms and emerging technologies in statistical programming.

  • Experience driving digital transformation and innovation initiatives within programming functions.

Key Skills

  • Statistical Programming

  • SAS Programming

  • Clinical Trial Data Analysis

  • Regulatory Submission Support

  • Team Leadership

  • Project Management

  • Data Quality & Compliance

  • Process Improvement

  • Resource Planning

  • Mentoring & Staff Development

  • Cross-Functional Collaboration

  • R and Python (Preferred)

Experience Required

  • 8+ years of statistical programming experience in clinical research, pharmaceutical, biotechnology, or CRO environments.

  •