- Apply statistical trending tools to product and method data
- Apply engineering principles and multivariate statistical analysis in-order to understand sources of variation and evaluate opportunities for improvements
- Use data analytics software to develop visualizations to review, assess, and improve analytical method performance
- Interface with QC, quality assurance, and manufacturing organizations to resolve method issues
- Support generation of annual product review documents, regulatory inspections, and process documentation
- Stays abreast of new technologies and statistical approaches in order to recommend improvements
Data Scientist - Cambridge, United States - Amgen
Description
Amgen is a biopharmaceutical leader founded on discovering, developing, manufacturing, and delivering innovative human therapeutics. The Attribute Sciences Data Engineering (ASDE) group applies scientific and technical engineering expertise in support of Amgens pipeline and commercial portfolio. This team applies continuous verification principles and advanced data analytics to advance product and method performance.
This role is part of the ASDE group providing support to Amgens commercial portfolio through application of process monitoring, data analysis, and engineering principles. Responsibilities will include identifying abnormal data trends in product and method data, identification of root causes for trends and collaborating cross-functionally to implement corrections. In addition, this role will focus on identifying and deploying optimization opportunities. The position offers the opportunity to engage with multiple product modalities across a global manufacturing network.
Position Responsibilities: