[Hiring] Senior Data Scientist @Amgen

Role Description

Join Amgen’s Mission of Serving Patients. In this vital role you will transform the lives of patients while transforming your career.

Data Products & Application Development

• Design, develop, and maintain data-driven products and business applications that improve decision-making and operational efficiency.
• Build solutions including:
  • Data products
  • Business applications
  • Automation tools
  • Dashboards and reporting solutions
  • Workflow management applications
  • Decision-support platforms
• Develop scalable solutions using Python, SQL, cloud technologies, and modern software development frameworks.

Generative AI & Intelligent Automation

• Design and deploy AI-enabled solutions that augment knowledge work and automate business processes.
• Develop capabilities including:
  • Large Language Model (LLM) applications
  • Retrieval-Augmented Generation (RAG)
  • Intelligent document generation
  • Information extraction
  • Automated workflow assistance
  • Knowledge management solutions
  • Decision-support copilots
• Identify opportunities where AI can reduce manual effort and accelerate business outcomes.

Data Engineering & Platform Development

• Develop and maintain the foundational services that power analytics and AI solutions.
• Build and support:
  • Data pipelines
  • APIs and integrations
  • Backend services
  • ETL/ELT workflows
  • Data quality monitoring solutions
  • Data processing frameworks
• Ensure reliable, scalable, and secure delivery of enterprise data products.

Enterprise Data Integration

• Design solutions that integrate information across enterprise systems and business functions.
• Work with data and processes spanning:
  • Clinical operations
  • Supply chain
  • Manufacturing
  • Enterprise operational platforms
• Enable seamless access to trusted data across organizational boundaries.

Innovation & Technology Exploration

• Continuously evaluate emerging technologies and identify opportunities to create business value.
• Explore areas including:
  • Generative AI
  • Agentic AI
  • Modern analytics platforms
  • Cloud-native architectures
  • Automation technologies
  • Data engineering tools
  • Enterprise application frameworks
• Recommend innovative approaches that improve business outcomes.

User Experience & Front-End Solutions

• Build user-facing applications that make data, analytics, and AI capabilities accessible to business users.
• Develop interfaces using technologies such as:
  • Streamlit
  • Dash
  • React
  • Other modern web and visualization frameworks
• Focus on usability, adoption, and business impact.

Automation & Operational Excellence

• Develop solutions that improve organizational efficiency through:
  • Process automation
  • Workflow standardization
  • Self-service analytics
  • Improved data accessibility
• Measure success through adoption, productivity gains, and operational improvements.

Product Delivery & Solution Ownership

• Support the complete lifecycle of analytical and AI solutions.
• Participate in:
  • Requirements gathering
  • Solution architecture
  • Technical design
  • Development
  • Testing and validation
  • Deployment
  • Documentation
  • Ongoing sustainment and support
• Balance technical excellence with business priorities and delivery timelines.

Collaboration & Stakeholder Partnership

• Partner closely with:
  • Business stakeholders
  • Product teams
  • Data engineering teams
  • Enterprise architects
  • Digital technology teams
  • Subject matter experts
• Translate business challenges into practical technical solutions while aligning with enterprise strategies and standards.

Communication & Business Translation

• Communicate technical concepts and project outcomes to diverse audiences.
• Clearly articulate:
  • Business value
  • Solution architecture
  • Technical tradeoffs
  • AI capabilities and limitations
  • Project progress
  • Recommendations and next steps
• Bridge the gap between business needs and technical implementation.

Qualifications

• Doctorate degree OR
• Master’s degree and 2 years of Data Scientist experience OR
• Bachelor’s degree and 4 years of Data Scientist experience OR
• Associate’s degree and 8 years of Data Scientist experience OR
• High school diploma / GED and 10 years of Data Scientist experience
• Strong Python development experience for applications, automation, AI, and analytics
• Advanced SQL and large-scale data processing experience
• Experience developing Generative AI and LLM-based applications
• Passion for applying AI, analytics, automation, and software engineering to solve business problems
• Strong stakeholder management and communication skills
• Ability to rapidly prototype and deploy business solutions
• Experience balancing technical decisions with business priorities
• Experience with Databricks, AWS, and cloud-native architectures
• Experience with data pipelines, workflow orchestration, and data quality monitoring

Preferred Qualifications

• Experience in pharmaceutical, biotechnology, manufacturing, supply chain, quality, or other regulated environments
• Experience with RAG, agentic AI, and knowledge-driven systems
• Experience building business applications using modern web frameworks
• Experience developing APIs, integrations, and backend services
• Experience with Tableau, Power BI, or similar visualization platforms
• Knowledge of Git, CI/CD, testing, and software engineering best practices
• Experience integrating enterprise systems such as SAP, manufacturing, quality, clinical, or supply chain platforms

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 where possible

Salary Range

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is 134,168.25 USD - 181,521.75 USD. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.