Engineer – Drug Product Technologies

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.

Engineer – Drug Product Technologies

What you will do

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

Amgen is searching for an Engineer to be based at our Thousand Oaks campus in Southern California, working in Amgen’s Drug Product Technologies department. The group’s mandate is to identify, design, develop, and implement novel technologies into Amgen’s worldwide multimodality clinical and commercial manufacturing network, Process Development and Quality laboratories, and associated business processes across Amgen manufacturing globally. This role is crucial for the success of Amgen in its goal to ensure supply to our patients while driving a culture of continuous improvement, innovation, and transformation.

We are pursuing highly motivated candidates with a passion for computer vision, industrial automation and applied artificial intelligence. The successful candidate will be challenged to apply their expertise in machine learning to enhance the way data are used to make critical decisions at Amgen. The Engineer will also participate in a variety of other efforts to identify automation opportunities across the business and apply cutting-edge techniques to deliver value-adding and differentiating solutions for Amgen Process Development.

Finally, the successful candidate will thrive in a cross-functional team environment, adeptly collaborating and liaising with functions across Amgen globally as well as select strategic partner companies.

Specific responsibilities of the Engineer may include but are not limited to:

• Assisting in the hands-on design and development of physical proof-of-concept systems;

• Understanding and mastery of relevant physical manufacturing systems;

• Advancing deep learning, machine learning, and artificial intelligence applications across Amgen;

• Creation of striking visualizations to facilitate data interpretation and decision-making;

• Staying abreast of industry trends, especially in the realms of artificial intelligence and process automation, and exploring novel tools and techniques to improve data utilization;

• Designing studies, supporting study execution, analyzing data, and presenting results in support of new manufacturing and analytical technology development, with an emphasis on critically assessing the benefits and drawbacks of candidate technologies;

• Documenting work in accordance with good documentation practices;

• Delivering technical presentations and training to a variety of stakeholders, including executive leadership as well as manufacturing operators and laboratory analysts; and

• As needed, traveling domestically and internationally up to 10% of the time.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is an individual with these qualifications.

Basic Qualifications:

• High school diploma / GED and 8 years of Engineering experience OR

• Associate’s degree and 6 years of Engineering experience OR

• Bachelor’s degree and 2 years of Engineering experience OR

• Master’s degree

Preferred Qualifications:

• Proven experience in designing and building computer vision hardware systems;

• Experience with robotics, PLCs, IIoT and other industrial automation;

• Experience with image processing algorithms and libraries;

• Experience building models and developing algorithms for deep learning, machine learning, and/or artificial intelligence;

• Familiarity with electronics, basic circuit design and troubleshooting;