Senior Data Scientist

About the role

At Amgen, our shared mission—to serve patients living with serious illnesses—drives all that we do. As a Senior Data Scientist, you will develop, maintain, and deploy first principles and/or machine learning models for biopharmaceutical processes, including cell culture, biologics formulation development, and fill/finish processes. You will be responsible for model design, selection of underlying technologies and infrastructure, and ensuring successful application of models in Process Development. The ideal candidate will have a strong background in chemical engineering or mechanical engineering as well as expertise in data science to tackle challenging cross-functional projects.

Responsibilities

• Design, develop, and deploy first principles, machine learning, and hybrid models to optimize biopharmaceutical processes.
• Integrate modeling software with connectivity to real-time equipment data to enable digital twins for improved process performance and understanding.
• Build and maintain robust data pipelines and agentic workflows to streamline the effort required to generate impact-level insights.
• Collaborate with cross-functional teams to translate scientific challenges into data-driven solutions and ensure seamless model integration into process development workflows.
• Champion best practices in software development, including version control, testing, and continuous integration to ensure model reliability, scalability, and reproducibility.
• Document and communicate the underlying technical basis of the models for use by engineers and scientists.

Qualifications

Basic Qualifications

• High school diploma / GED and 10 years of Data Sciences experience
• Associate’s degree and 8 years of Data Sciences experience
• Bachelor’s degree and 4 years of Data Sciences experience
• Master’s degree and 2 years of Data Sciences experience
• Doctorate degree

Preferred Qualifications

• Ph.D. in Chemical Engineering, Mechanical Engineering, Applied Math, or related field
• Strong background in mechanistic modeling and first principles (e.g., transport phenomena, fluid mechanics, reaction kinetics)
• Experience in applying AI and ML algorithms to produce data-driven solutions to engineering problems
• Track record of leading modeling and data science projects
• 3+ years of coding experience in Python
• Understanding of biopharmaceutical processes and related unit operations
• Experience using Git for version control
• Familiarity with DevOps and software best practices (i.e., version control, continuous integration, test-driven development)
• Experience with data engineering & visualization tools (e.g., Databricks, Spotfire) as well as cloud computing and data storage systems such as AWS
• Experience leveraging AI tools to generate agentic solutions for scientific workflows
• Independent, self-motivated, organized, and able to multitask in time-sensitive environments
• Excellent communication skills (written and verbal)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

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
  • 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 where possible

Pay

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.