Sr Data Scientist
Amgen · United States, California, Los Angeles
Career CategoryOperationsJob DescriptionJoin 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 doLet’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 youWe 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 usAs 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 e