Amgen

Data Scientist - Attribute Sciences Data Engineering

Employer
Amgen
Location
Cambridge, MA
Posted
Jul 04, 2021
Ref
R-117629
Required Education
High School or equivalent
Position Type
Full time

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 Amgens 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 Amgens 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.

Basic Qualifications

Doctorate degree

OR

Masters degree and 3 years of scientific, research or pharma/biotech experience

OR

Bachelors degree and 5 years of scientific, research or pharma/biotech experience

OR

Associate's degree and 10 years of scientific, research or pharma/biotech experience

OR

High School diploma/GED plus 12 years of scientific, research or pharma/biotech experience

Preferred Qualifications

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


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.