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Biostatistical Programming Senior Manager

Biostatistical Programming Senior Manager

CompanyAmgen
LocationUnited States
Salary$153890 – $179170
TypeFull-Time
DegreesBachelor’s, Master’s, PhD, Associate’s
Experience LevelSenior, Expert or higher

Requirements

  • Doctorate degree and 2 years of statistical programming in Pharmaceutical industry experience
  • Master’s degree and 6 years of statistical programming in Pharmaceutical industry experience
  • Bachelor’s degree and 8 years of statistical programming in Pharmaceutical industry experience
  • Associate’s degree and 10 years of statistical programming in Pharmaceutical industry experience
  • High school diploma / GED and 12 years of statistical programming in Pharmaceutical industry experience

Responsibilities

  • Accountable and responsible for Global Statistical Programming (GSP) study deliverables and submission activities for a group of Amgen products.
  • Set and drive forward the programming strategies such as functional standards and industry requirements for the assigned product areas globally.
  • Plan and monitor progress of projects and address issues accordingly.
  • Support GSP Functional Service Provider (FSP) relationship and oversight; Ensure the product goals can be met via the FSP staff.
  • Provide GSP product level input to developing and managing resource plans and budgets for GSP.
  • Efficiently and effectively monitor and utilize assigned staff at product level according to priorities.
  • Lead and/or participate in departmental process improvement initiatives and cross-functional working groups.
  • Assist in study and system audits and inspections by internal and external bodies.
  • Develop, review, and implement Policies, SOPs and other controlled documents affecting GSP globally.
  • Provide hands-on support to the assigned product areas as required.
  • Provide coaching and mentoring to staff.
  • Provide input into career development plans for all staff on assigned projects.

Preferred Qualifications

  • In depth knowledge of SAS Graph, SAS STAT, SAS Macro and SQL
  • Advanced SAS analysis and reporting skills
  • Prior regulatory submission experience
  • Thorough understanding and experience with data quality and compliance checks
  • Experience in software development (e.g., gathering user requirements, creating technical specifications, developing code, creating, and driving test plans).
  • Familiar with R Programming language
  • Statistical programming experience in a clinical development environment
  • Experience working effectively in a globally dispersed team environment with cross-cultural partners
  • Ability to lead and manage programmers in the successful and timely completion of all programming activities for a study or multiple studies from end to end
  • Prior staff development leadership and project management experience
  • Excellent oral and written communication skills
  • Ability to effectively perform complex statistical programming and related tasks