This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The senior associate will work within R&D Quality’s Business Intelligence and Data Analytics (BIDA) team to help deliver actionable information and recommendations to key leaders and stakeholders by maintaining and expanding our data pipelines, tools, and reporting. This role contributes to ensuring Amgen’s pursuit of life-saving medication is done with the highest regard for quality and compliance to regulations.
Job Responsibility:
Extract and clean data from internal systems for regular and ad hoc reporting, including data pipeline creation and maintenance
Generate, validate, and deliver KPIs, quality metrics, and performance indicators used across the R&D Quality landscape
Investigate and analyze metric trends, anomalies, and operational insights
Design, build, and maintain Tableau dashboards for operational monitoring, compliance reporting, and executive summaries
Develop and maintain Python scripts used for data processing, transformation, and report automation
Help create reusable components for common data analysis tasks and documentation
Ensure version control and proper documentation of scripts and workflows
Requirements:
Master’s degree and 7-10 years in Pharma and Biotechnology R&D Quality
Bachelor’s degree and 10-15 years of years in Pharma and Biotechnology R&D Quality
Exceptional attention to detail and accuracy in all deliverables
Ability to work independently and proactively in a fast-paced environment
Proficiency with Tableau or similar data visualization tools
Proficiency with Python or other object-oriented programming language
Proficiency with SQL and Databricks
Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and virtual collaboration tools (e.g., Teams)
Effective communication, critical thinking and problem-solving
Experience in conducting data analyses and translating data sets into actionable insights
Nice to have:
Familiarity with project management tools and methodologies
Knowledge of GCP, GLP, GPvP, and/or the conduct of clinical trials
Familiarity with Databricks and SQL
Experience working in a multinational environment with global teams