Principal Data Analytics (BP)

Career Category

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

PRINCIPAL DATA ANALYTICS

What you will do

Let’s do this! Let’s change the world!

In this vital role you will be responsible for leading the development and deployment of an integrated site digital strategy, implementing solutions for data generation, interconnection, visualization/reporting, analysis, and innovation. This unique role will provide the opportunity to influence our digital strategy during the startup of the new facility, and subsequently during commercial operation.

• Operations liaison for the execution of the digital strategy during facility start up, representing Manufacturing, Quality, Supply Chain, Engineering and Business Performance in project forums

• Understand business needs and develop novel yet practical data-driven solutions to meet those needs

• Define digital charter and ensure continual alignment of analytics team’s efforts with site strategic objectives

• Build business cases to secure funding for projects and implementation of additional technologies

• Define a metrics framework for tracking the use of analytics solutions and their generated ROIs

• Perform ad-hoc data analysis, build custom reports per functions needs, and present results at different levels of the organizational structure

• Develop, enhance, automate, and manage analytics models

• Create striking visualizations to enable business application of data analysis

• Manage projects within the Digital area of responsibility

• Foster a culture of data analytics and visualization by providing training and promoting adoption of best practices, identifying colleagues with a shared interest and passion for data analysis, and/or development of a learning groups.

• Collaborate cross functionally and across the Amgen Enterprise/Network to ensure digital advancement is executed in accordance with established procedures and applicable regulations

• Partner with other facilities in the network to ensure implementation of best practices, consistency, and continuous improvement

• Ensure work complies with regulatory requirements, approved guidelines relevant to area of responsibility, and that validated state of applicable processes and systems are maintained

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The high-performing professional we seek is a trailblazer with these qualifications.

Basic Qualifications:

• High school diploma / GED and 12 years of Data Analytics experience OR

• Associate’s degree and 10 years of Data Analytics experience OR

• Bachelor’s degree and 6 years of Data Analytics experience OR

• Master’s degree and 4 years of Data Analytics experience OR

• Doctorate degree and 2 years of Data Analytics experience

Preferred Qualifications:

• Broad knowledge of technology solutions, and advanced analytics processes, methodologies, and best practices

• Working knowledge of biotech DS manufacturing processes and the functions that support them (e.g., Manufacturing, Supply Chain, Quality, etc.)

• Working knowledge of GMP regulations for manufacturing in the US and other jurisdictions

• Expertise in problem formulation for development of computational models

• Experience with advanced statistical/analytical techniques

• Proficiency in at least one statistical software package, such as SIMCA or JMP

• Proficiency in data visualization tools or packages, such as Tableau, Spotfire, Power BI

• Proficienc