Data Scientist - Early-Stage Process Development

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.

Data Scientist - Early-Stage Process Development

What you will do

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

The Digital Process and Systems Analysis group within Process Development plays a key role in providing data infrastructure, platforms, and analytics to support drug substance technology operations. The team supports the end-to-end process development lifecycle from pre-pivotal development through commercialization, covering all of Amgen’s product modalities. This specific role is part of a group that works primarily with early-stage process development. The team has a wide range of responsibilities relating to the development, implementation, improvement, and support of digital assets such as data pipelines, electronic lab notebooks, and data analytics applications.

This Data Scientist role focuses on advancing digital capabilities and data-driven solutions within the drug substance technology organization, with a primary emphasis on managing and enhancing our Electronic Lab Notebook (ELN). You will collaborate cross-functionally with a variety of people and teams including bench scientists, software developers, and project managers to optimize and support the ELN system, ensuring seamless integration with lab workflows, data capture, and reporting processes. In addition to ELN support, you will have the opportunity to contribute to cutting edge data digitalization and analysis solutions as well as aiding in the support of an early-stage automation system. Scope of work in this role is inclusive of digital systems related to early-stage process development in addition to supporting larger, cross-functional digital initiatives.

Responsibilities:

• Contribute to system support, testing, training and monitoring activities centered around existing scientific data systems such as our ELN, AWS Data Lake, and Spotfire Analytics.

• Apply Agile methodologies to define, develop, and implement new system capabilities for process development

• Interact cross-functionally with a wide variety of people and teams to ensuring effective communication of feedback, capabilities, and limitations of systems across various disciplines.

• Think critically to quickly troubleshoot, communicate, and triage questions and issues across a variety of tools and systems

• Actively participate in lifecycle management, upgrades, and patching of various critical systems such as our ELN and our DeltaV control system

• Apply creativity to develop novel data pipelines, workflows, and visualizations to improve the efficiency of Process development business processes.

• Develop comprehensive understanding of Amgen data assets, specifically the electronic lab notebook, advocating for changes where needed for data digitalization improvements

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 Data Science or Engineering experience OR

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

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

• Master’s degree

Preferred Qualifications:

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

• Excellent problem-solving capabilities and attention to detail.

• Demonstrate good organization, planning, and project execution skills to be able to balance a dynamic and diverse workload

• Possess strong written and ve