Data Scientist - Early-Stage Process Development

Amgen - Thousand Oaks, CA

Full-time - Entry Level

Hybrid - Thousand Oaks, CA

Chemical Manufacturing

About the position

The Data Scientist role in Early-Stage Process Development at Amgen focuses on advancing digital capabilities and data-driven solutions within the drug substance technology organization. This position involves managing and enhancing the Electronic Lab Notebook (ELN) system, collaborating with cross-functional teams to optimize lab workflows, and supporting digital initiatives related to early-stage process development.

Responsibilities

• Contribute to system support, testing, training, and monitoring activities centered around existing scientific data systems such as 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 ensure 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 ELN and DeltaV control system.
• Apply creativity to develop novel data pipelines, workflows, and visualizations to improve the efficiency of Process development business processes.
• Develop a comprehensive understanding of Amgen data assets, specifically the electronic lab notebook, advocating for changes where needed for data digitalization improvements.

Requirements

• 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.
• 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 balance a dynamic and diverse workload.
• Possess strong written and verbal communication skills and a desire to learn new scientific and data concepts.
• Demonstrated ability to work under minimal direction.
• Working knowledge in IS topics such as data analysis, data pipelines, and basic programming knowledge (such as Python, R, SQL, VBA).
• Experience with automated and computer-controlled biopharmaceutical process equipment such as Delta V and scientific instrumentation.
• Experience with validated systems, change control, documentation.
• Experience with Agile project management.

Nice-to-haves

• Experience with validated systems, change control, documentation.
• Experience with Agile project management.

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan.
• Stock-based long-term incentives.
• Award-winning time-off plans.
• Flexible work models, including remote and hybrid work arrangements, where possible.