Sr Data Scientist

Career Category

Operations

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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. 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.

Sr Data Scientist

What you will do

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

Core Competencies

Hands-on experience with:

• •Python Application Development
• •SQL and Data Modeling
• •Generative AI and LLM Applications
• •Retrieval-Augmented Generation (RAG)
• •API Development
• •Data Engineering
• •Cloud Platforms (AWS, Databricks)
• •Analytics and Visualization
• •Workflow Automation

Strong understanding of:

• •Data Product Development
• •Enterprise Architecture
• •AI Solution Delivery
• •Business Process Improvement
• •Product Ownership
• •Scalable Application Design

Ability to operate effectively as both a technical contributor and business partner in highly collaborative environments.

What we expect of you

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

Basic 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

What you can expect from us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

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.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibili