$80K — $100K *
Amgen is a biopharmaceutical leader founded on discovering, developing, manufacturing, and delivering innovative human therapeutics. The Attribute Sciences Data Engineering (ASDE) group within the Process Development organization applies scientific and technical engineering expertise in support of Amgen’s pipeline and commercial portfolio. This team applies advanced data engineering and analytics to advance product quality and analytical method performance monitoring.
This position is an exciting opportunity in the ASDE group which provides support to Amgen’s commercial portfolio through application of process monitoring, data engineering, data analysis through statistical and machine learning algorithm, and engineering principles. Responsibilities will include the development of data engineering and data science tools for supporting multiple functions and projects within Attribute Sciences. While the initial focus of this position will be supporting the product quality and analytical method monitoring of the global manufacturing and quality control (labs) data using six sigma principles, the future expanded focus will include supporting other data sciences related initiatives and projects within Attribute Sciences. The position offers an opportunity to make an impact through deployment of data driven approaches on a dynamic and varied product portfolio in a highly cross-functional, phase independent and collaborative environment.
Master’s degree and 3 years of scientific, research or pharma/biotech experience
Bachelor’s degree and 5 years of scientific, research or pharma/biotech experience
Associate's degree and 10 years of scientific, research or pharma/biotech experience
High School diploma/GED plus 12 years of scientific, research or pharma/biotech experience
Doctorate degree in engineering/applied mathematics/bioinformatics or other similar field with specialization in computational modeling/statistical data analysis
1+ years of experience in a Biotech/Pharma Process Development in an analytical sciences / quality control group
Experience in applying data analysis, database management and statistical analysis, including design of experiments, in-order to solve analytical method issues and evaluate opportunities for improvements
Familiarity with software tools (SQL/Spotfire/R/Matlab/Hadoop/JMP, etc.) to aggregate and analyze/visualize data
Possess understanding of regulatory and cGMP requirements
Ability to deliver high quality results in a timely manner
Excellent written and verbal communication
Strong leadership skills and decision making abilities.
Demonstrated ability to work under minimal direction.
Able to adapt to changing business needs and operational requirements.
Be a self-starter with the ability to take on several projects at one time
Be able to multi-task and function in a dynamic environment
Valid through: 6/30/2021