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Amgen Sr Associate Data Scientist – Attribute Science Data Engineering in Thousand Oaks, California

The Attribute Sciences (AS) group within Process Development provides scientific and technical expertise to support the commercialization of Amgen’s pipeline. This group identifies and coordinates the achievement of product attributes toward quality target product profiles, develops and applies fit-for-purpose analytical methodologies.

The Attribute Sciences Data Engineering (ASDE) group within the AS function drives the end-to-end AS data strategy from lead candidate selection to the global commercial support. The group not only provides lab informatics, data engineering and data science support to the portfolio but also assess new technologies to improve the data integration and data usage for decision making.

The ASDE group is seeking a Sr Associate Data Scientist with expertise in data querying and visualization to join our team in Thousand Oaks, CA. This position will provide support to Amgen’s pipeline through application of data analysis, and dashboards/reports deployment. Responsibilities will include data wrangling, cleaning, analysis and presentation as well as collaboration with a cross-functional team to understand the scope and needs of data consumers and preparing data visualizations and dashboards to effectively meet those needs. This position will also focus on identifying opportunities for optimization and helping to employ solutions.

Position Responsibilities:

  • Use data analytics software to develop visualizations to review, assess, and improve analytical method data

  • Interface with AS & QC colleagues to digitize method related data

  • Support generation of documents, regulatory inspections, and process documentation

  • Stays abreast of new technologies in order to recommend improvements

Basic Qualifications

Master’s degree

OR

Bachelor’s degree and 2 years of Engineering or data sciences experience

OR

Associate’s degree and 6 years of Engineering or data sciences experience

OR

High school diploma / GED and 8 years of Engineering or data sciences experience

Preferred Qualifications

1-3 years of experience in a Biotech/Pharma Process Development and/or Manufacturing Support role

Experience with engineering principles and statistical analysis, including design of experiments

Able to understand and apply statistical process control concepts

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.

Familiarity with systems used for data analytics

Understanding of data structures, data types, and system thinking concepts

Able to multi-task and function in a dynamic environment

Possesses strong influencing and negotiation skills

Ability to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed

Ability to develop a comprehensive understanding of Amgen data structures and metrics

Join Us

If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen.

Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.​

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